API Reference
- Getting Started
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- Units
- User
Get user variable relationships
Get a list of user variable relationships that can be used to display top predictors of a given outcome like mood, for instance.
Enter your bearer token in the format Bearer access_token_here
Deprecated: Name of the hypothetical predictor variable. Ex: Sleep Duration
Deprecated: Name of the outcome variable of interest. Ex: Overall Mood
Sort by one of the listed field names. If the field name is prefixed with -, it will sort in descending order.
The LIMIT is used to limit the number of results returned. So if youhave 1000 results, but only want to the first 10, you would set this to 10 and offset to 0. The maximum limit is 200 records.
OFFSET says to skip that many rows before beginning to return rows to the client. OFFSET 0 is the same as omitting the OFFSET clause.If both OFFSET and LIMIT appear, then OFFSET rows are skipped before starting to count the LIMIT rows that are returned.
Pearson correlation coefficient between cause and effect after lagging by onset delay and grouping by duration of action
When the record was last updated. Use UTC ISO 8601 YYYY-MM-DDThh:mm:ss datetime format. Time zone should be UTC and not local.
Only include user_variable_relationships for which the effect is an outcome of interest for the user
Your client id can be obtained by creating an app at https://builder.quantimo.do
Return only public, anonymized and aggregated population data instead of user-specific variables
Authorizations
Enter your bearer token in the format Bearer access_token_here
Query Parameters
Deprecated: Name of the hypothetical predictor variable. Ex: Sleep Duration
Deprecated: Name of the outcome variable of interest. Ex: Overall Mood
Sort by one of the listed field names. If the field name is prefixed with -, it will sort in descending order.
The LIMIT is used to limit the number of results returned. So if youhave 1000 results, but only want to the first 10, you would set this to 10 and offset to 0. The maximum limit is 200 records.
OFFSET says to skip that many rows before beginning to return rows to the client. OFFSET 0 is the same as omitting the OFFSET clause.If both OFFSET and LIMIT appear, then OFFSET rows are skipped before starting to count the LIMIT rows that are returned.
x > 0Pearson correlation coefficient between cause and effect after lagging by onset delay and grouping by duration of action
When the record was last updated. Use UTC ISO 8601 YYYY-MM-DDThh:mm:ss datetime format. Time zone should be UTC and not local.
Only include user_variable_relationships for which the effect is an outcome of interest for the user
Your client id can be obtained by creating an app at https://builder.quantimo.do
Return only public, anonymized and aggregated population data instead of user-specific variables
Response
Can be used as body of help info popup
Can be used as title in help info popup
Ex: 4.19
Ex: 1.97
Ex: 3.0791054117396
Ex: 3.55
Ex: 2.65
Ex: 0.396
Ex: 0.453667
Ex: 0.9855
Ex: 164
Ex: true
Ex: ba7d0c12432650e23b3ce924ae2d21e2ff59e7e4e28650759633700af7ed0a30
Ex: Foods
Ex: CureDAO
Ex: 0
Ex: https://quantimo.do
Ex: 72
Ex: https://safe.dfda.earth/img/logos/curedao-logo-qm-rainbow-200-200.png
Ex: <a href="https://quantimo.do"><img id="curedao_image" title="CureDAO" src="https://safe.dfda.earth/img/logos/curedao-logo-qm-rainbow-200-200.png" alt="CureDAO"></a>
Ex: <a href="https://quantimo.do">CureDAO</a>
Ex: CureDAO is a Chrome extension, Android app, iOS app, and web app that allows you to easily track mood, symptoms, or any outcome you want to optimize in a fraction of a second. You can also import your data from over 30 other apps and devices like Fitbit, Rescuetime, Jawbone Up, Withings, Facebook, GitHub, Google Calendar, Runkeeper, MoodPanda, Slice, Google Fit, and more. CureDAO then analyzes your data to identify which hidden factors are most likely to be influencing your mood or symptoms and their optimal daily values.
Ex: curedao
Ex: Tracks anything
Background color HEX code that matches the icon
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
Ex: https://local.quantimo.do
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: Connect
Ex: This is a tooltip
Post here on button click
HTML element id
Smaller square image
Smaller circular image
Ex: #f2f2f2
Ex: Content
Ex: Title
HTML for the entire card.
Ex: <div>Content</div>
Larger image of variable dimensions
Ex: ion-refresh
A link to a web page or something. Not much more to say about that.
Key value pairs derived from user input fields, button clicks, or preset defaults
Ex: sharingBody
Ex: sharingTitle
Ex: subTitle
Ex: subTitle
Ex: Title
Your client id can be obtained by creating an app at https://builder.quantimo.do
True if the authenticated user has this connector enabled
Ex: Your token is expired. Please re-connect
URL to open to connect
Create a form with these fields and post the key and user submitted value to the provided connect url
True if should open auth window in popup
Ex: 8
Ex: CONNECTED
Number of measurements from this source or number of users who have measurements from this source
Ex: 2000-01-01 00:00:00 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2017-07-31 10:10:34 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Epoch timestamp of last sync
Ex: Got 412 new measurements on 2017-07-31 10:10:34
Mobile connect method: webview, cordova, google, spreadsheet, or ip
Platforms (chrome, android, ios, web) that you can connect on.
True if connection requires upgrade
Required connector scopes
URL to POST a spreadsheet to (if available for this data source)
Number of measurements obtained during latest update
Ex: 2017-07-31 10:10:34 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2017-07-18 05:16:31 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: UPDATED
Ex: 230
Ex: 1
Ex: 6
Ex: Sleep
Ex: MEAN
Ex: /5
Ex: 1448
Ex: 6
Ex: Sleep Quality
Ex: 0.14344467795996
Ex: high
Ex: 0.538
Ex: false
Ex: 2016-12-28 20:47:30 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Calculated Statistic: Ex: 1.646
Ex: higher
User-Defined Variable Setting: The amount of time over which a predictor/stimulus event can exert an observable influence on an outcome variable value. For instance, aspirin (stimulus/predictor) typically decreases headache severity for approximately four hours (duration of action) following the onset delay. Unit: Seconds
User-Defined Variable Setting: The amount of time over which a predictor/stimulus event can exert an observable influence on an outcome variable value. For instance, aspirin (stimulus/predictor) typically decreases headache severity for approximately four hours (duration of action) following the onset delay. Unit: Hours
Ex: 200
Ex: 145
Ex: optimalPearsonProduct is not defined
Ex: 193
Ex: true
Ex: ba7d0c12432650e23b3ce924ae2d21e2ff59e7e4e28650759633700af7ed0a30
Ex: Foods
Ex: CureDAO
Ex: 0
Ex: https://quantimo.do
Ex: 72
Ex: https://safe.dfda.earth/img/logos/curedao-logo-qm-rainbow-200-200.png
Ex: <a href="https://quantimo.do"><img id="curedao_image" title="CureDAO" src="https://safe.dfda.earth/img/logos/curedao-logo-qm-rainbow-200-200.png" alt="CureDAO"></a>
Ex: <a href="https://quantimo.do">CureDAO</a>
Ex: CureDAO is a Chrome extension, Android app, iOS app, and web app that allows you to easily track mood, symptoms, or any outcome you want to optimize in a fraction of a second. You can also import your data from over 30 other apps and devices like Fitbit, Rescuetime, Jawbone Up, Withings, Facebook, GitHub, Google Calendar, Runkeeper, MoodPanda, Slice, Google Fit, and more. CureDAO then analyzes your data to identify which hidden factors are most likely to be influencing your mood or symptoms and their optimal daily values.
Ex: curedao
Ex: Tracks anything
Background color HEX code that matches the icon
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
Ex: https://local.quantimo.do
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: Connect
Ex: This is a tooltip
Post here on button click
HTML element id
Smaller square image
Smaller circular image
Ex: #f2f2f2
Ex: Content
Ex: Title
HTML for the entire card.
Ex: <div>Content</div>
Larger image of variable dimensions
Ex: ion-refresh
A link to a web page or something. Not much more to say about that.
Key value pairs derived from user input fields, button clicks, or preset defaults
Ex: sharingBody
Ex: sharingTitle
Ex: subTitle
Ex: subTitle
Ex: Title
Your client id can be obtained by creating an app at https://builder.quantimo.do
True if the authenticated user has this connector enabled
Ex: Your token is expired. Please re-connect
URL to open to connect
Create a form with these fields and post the key and user submitted value to the provided connect url
True if should open auth window in popup
Ex: 8
Ex: CONNECTED
Number of measurements from this source or number of users who have measurements from this source
Ex: 2000-01-01 00:00:00 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2017-07-31 10:10:34 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Epoch timestamp of last sync
Ex: Got 412 new measurements on 2017-07-31 10:10:34
Mobile connect method: webview, cordova, google, spreadsheet, or ip
Platforms (chrome, android, ios, web) that you can connect on.
True if connection requires upgrade
Required connector scopes
URL to POST a spreadsheet to (if available for this data source)
Number of measurements obtained during latest update
Ex: 2017-07-31 10:10:34 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2017-07-18 05:16:31 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: UPDATED
Ex: 230
Ex: moderately positive
Ex: /5
Ex: 1
Ex: 1
Ex: Emotions
Ex: MEAN
Ex: Mood_(psychology)
Ex: /5
Ex: 10
Ex: 1 to 5 Rating
Ex: 1398
Ex: 10
Ex: Overall Mood
Ex: 2014-07-30 12:50:00 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2012-05-06 21:15:00 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 0.528359
Ex: 298
Ex: 0
Ex: 0
Ex: -86400
Ex: -24
Ex: 0.68582816186982
User-Defined Variable Setting: Ex: -1. Unit: User-specified or common.
User-Defined Variable Setting: Ex: 23. Unit: User-specified or common.
User-Defined Variable Setting: Ex: 0.1. Unit: User-specified or common.
Ex: 0.477
Ex: 0.538
Ex: 0.538
Ex: RescueTime
Ex: -1. Unit: User-specified or common.
Ex: 200. Unit: User-specified or common.
Ex: 30. Unit: User-specified or common.
Ex: 17. Unit: User-specified or common.
Ex: -11. Unit: User-specified or common.
Ex: 0.39628900511586
Ex: 0.528
Ex: 0.01377184270977
Would you like to make this study publicly visible?
Ex: N1 Study: Sleep Quality Predicts Higher Overall Mood
Ex: N1 Study: Sleep Quality Predicts Higher Overall Mood
Ex: 1
Ex: 0.9813
Ex: moderate
Ex: 0.613
Embeddable chart html
Embeddable study text html including charts. Modifiable css classes are study-title, study-section-header, study-section-body
Play Store, App Store, Chrome Web Store
Embeddable study including HTML head section charts. Modifiable css classes are study-title, study-section-header, study-section-body
Embeddable study html including charts and css styling
Instructions for study participation
Embeddable table with statistics
Text summary
Title, study image, abstract with CSS styling
PNG image
Facebook, Twitter, Google+
Formatted study text sections
Ex: https://s3.amazonaws.com/curedao-docs/images/gauge-moderately-positive-relationship.png
Ex: https://s3.amazonaws.com/curedao-docs/images/gauge-moderately-positive-relationship-200-200.png
Ex: https://s3-us-west-1.amazonaws.com/qmimages/variable_categories_gauges_logo_background/gauge-moderately-positive-relationship_sleep_emotions_logo_background.png
Ex: https://static.quantimo.do/img/variable_categories/sleeping_in_bed-96.png
Ex: ion-ios-cloudy-night-outline
Ex: https://static.quantimo.do/img/variable_categories/theatre_mask-96.png
Ex: ion-happy-outline
Image with gauge and category images
Image with robot and category images
Avatar of the principal investigator
Ex: mailto:?subject=N1%20Study%3A%20Sleep%20Quality%20Predicts%20Higher%20Overall%20Mood&body=Check%20out%20my%20study%20at%20https%3A%2F%2Flocal.quantimo.do%2Fapi%2Fv2%2Fstudy%3FcauseVariableName%3DSleep%2520Quality%26effectVariableName%3DOverall%2520Mood%26userId%3D230%0A%0AHave%20a%20great%20day!
Ex: https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Flocal.quantimo.do%2Fapi%2Fv2%2Fstudy%3FcauseVariableName%3DSleep%2520Quality%26effectVariableName%3DOverall%2520Mood%26userId%3D230
Ex: https://plus.google.com/share?url=https%3A%2F%2Flocal.quantimo.do%2Fapi%2Fv2%2Fstudy%3FcauseVariableName%3DSleep%2520Quality%26effectVariableName%3DOverall%2520Mood%26userId%3D230
Ex: https://local.quantimo.do/api/v2/study?causeVariableName=Sleep%20Quality&effectVariableName=Overall%20Mood&userId=230
Ex: https://local.quantimo.do/ionic/Modo/www/index.html#/app/study?causeVariableName=Sleep%20Quality&effectVariableName=Overall%20Mood&userId=230
Ex: https://twitter.com/home?status=Sleep%20Quality%20Predicts%20Higher%20Overall%20Mood%20https%3A%2F%2Flocal.quantimo.do%2Fapi%2Fv2%2Fstudy%3FcauseVariableName%3DSleep%2520Quality%26effectVariableName%3DOverall%2520Mood%26userId%3D230%20%40curedao
Share this link with potential study participants
Ex: Aggregated data from 21 suggests with a low degree of confidence (p=0.097) that Very Distracting Time has a moderately positive predictive relationship (R=0.354) with Video Activities (Activity). The highest quartile of Video Activities measurements were observed following an average 2.03h Very Distracting Timeper day. The lowest quartile of Video Activities measurements were observed following an average 1.04h Very Distracting Timeper day.
Ex: This study is based on data donated by 21 CureDAO users. Thus, the study design is equivalent to the aggregation of 21 separate n=1 observational natural experiments.
Ex: As with any human experiment, it was impossible to control for all potentially confounding variables. Correlation does not necessarily imply correlation. We can never know for sure if one factor is definitely the cause of an outcome. However, lack of correlation definitely implies the lack of a causal relationship. Hence, we can with great confidence rule out non-existent relationships. For instance, if we discover no relationship between mood and an antidepressant this information is just as or even more valuable than the discovery that there is a relationship. <br> <br> We can also take advantage of several characteristics of time series data from many subjects to infer the likelihood of a causal relationship if we do find a correlational relationship. The criteria for causation are a group of minimal conditions necessary to provide adequate evidence of a causal relationship between an incidence and a possible consequence. The list of the criteria is as follows: <br> 1. Strength (effect size): A small association does not mean that there is not a causal effect, though the larger the association, the more likely that it is causal. <br> 2. Consistency (reproducibility): Consistent findings observed by different persons in different places with different samples strengthens the likelihood of an effect. <br> 3. Specificity: Causation is likely if a very specific population at a specific site and disease with no other likely explanation. The more specific an association between a factor and an effect is, the bigger the probability of a causal relationship. <br> 4. Temporality: The effect has to occur after the cause (and if there is an expected delay between the cause and expected effect, then the effect must occur after that delay). <br> 5. Biological gradient: Greater exposure should generally lead to greater incidence of the effect. However, in some cases, the mere presence of the factor can trigger the effect. In other cases, an inverse proportion is observed: greater exposure leads to lower incidence. <br> 6. Plausibility: A plausible mechanism between cause and effect is helpful. <br> 7. Coherence: Coherence between epidemiological and laboratory findings increases the likelihood of an effect. <br> 8. Experiment: "Occasionally it is possible to appeal to experimental evidence". <br> 9. Analogy: The effect of similar factors may be considered. <br> <br> The confidence in a causal relationship is bolstered by the fact that time-precedence was taken into account in all calculations. Furthermore, in accordance with the law of large numbers (LLN), the predictive power and accuracy of these results will continually grow over time. 146 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Very Distracting Time values, the observed strength of the relationship will decline until it is below the threshold of significance. To it another way, in the case that we do find a spurious correlation, suggesting that banana intake improves mood for instance, one will likely increase their banana intake. Due to the fact that this correlation is spurious, it is unlikely that you will see a continued and persistent corresponding increase in mood. So over time, the spurious correlation will naturally dissipate.Furthermore, it will be very enlightening to aggregate this data with the data from other participants with similar genetic, diseasomic, environmentomic, and demographic profiles.
Ex: The objective of this study is to determine the nature of the relationship (if any) between the Very Distracting Time and the Video Activities. Additionally, we attempt to determine the Very Distracting Time values most likely to produce optimal Video Activities values.
Ex: This analysis suggests that higher Very Distracting Time generally predicts negative Video Activities (p = 0.097). Video Activities is, on average, 36% higher after around 2.03 Very Distracting Time. After an onset delay of 168 hours, Video Activities is, on average, 16% lower than its average over the 168 hours following around 1.04 Very Distracting Time. 146 data points were used in this analysis. The value for Very Distracting Time changed 2984 times, effectively running 1492 separate natural experiments. The top quartile outcome values are preceded by an average 2.03 h of Very Distracting Time. The bottom quartile outcome values are preceded by an average 1.04 h of Very Distracting Time. Forward Pearson User Variable Relationship Coefficient was 0.354 (p=0.097, 95% CI -0.437 to 1.144 onset delay = 0 hours, duration of action = 168 hours) . The Reverse Pearson User Variable Relationship Coefficient was 0.208 (P=0.097, 95% CI -0.583 to 0.998, onset delay = -0 hours, duration of action = -168 hours). When the Very Distracting Time value is closer to 2.03 h than 1.04 h, the Video Activities value which follows is, on average, 36% percent higher than its typical value. When the Very Distracting Time value is closer to 1.04 h than 2.03 h, the Video Activities value which follows is 0% lower than its typical value. Video Activities is 5 h (67% higher) on average after days with around 5 h Very Distracting Time
Ex: N1 Study: Very Distracting Time Predicts Negative Video Activities
Ex: Overall Mood is 3.55/5 (15% higher) on average after days with around 4.19/5 Sleep Quality
Ex: Overall Mood is 2.65/5 (14% lower) on average after days with around 1.97/5 Sleep Quality
Ex: Overall Mood, on average, 17% higher after around 4.14/5 Sleep Quality
Ex: Overall Mood, on average, 11% lower after around 3.03/5 Sleep Quality
Ex: It was assumed that 0 hours would pass before a change in Very Distracting Time would produce an observable change in Video Activities. It was assumed that Very Distracting Time could produce an observable change in Video Activities for as much as 7 days after the stimulus event.
Ex: Very Distracting Time data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.<br>Video Activities data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.
Ex: Very Distracting Time data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.<br>Video Activities data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.
Ex: Very Distracting Time data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.<br>Video Activities data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.
Ex: Sleep Quality Predicts Higher Overall Mood
Ex: Sleep Quality Predicts Higher Overall Mood
Ex: Sleep Quality Predicts Higher Overall Mood
Ex: Sleep Quality Predicts Higher Overall Mood
Instructions for study participation
Ex: Sleep Quality Predicts Higher Overall Mood
Ex: Using a two-tailed t-test with alpha = 0.05, it was determined that the change in Video Activities is statistically significant at 95% confidence interval.
Help us determine if Remeron affects Overall Mood!
Does Remeron affect Overall Mood?
In order to reduce suffering through the advancement of human knowledge...
Ex: 9.6986079652717
Ex: 2017-05-06 15:40:38 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 230
Ex: 1
Ex: 4.14
Ex: 3.03
Sources used to collect data for the outcome variable
Mike Sinn
User Variable Relationship when cause and effect are reversed. For any causal relationship, the forward correlation should exceed the reverse correlation.
Ex:
Ex: 14764
VariableRelationships calculated with various duration of action hyper-parameters
Ex: 4.19
Ex: 1.97
Ex: 3.0791054117396
Ex: 3.55
Ex: 2.65
Ex: 0.396
Ex: 0.453667
Ex: 0.9855
Ex: 164
Ex: true
Ex: ba7d0c12432650e23b3ce924ae2d21e2ff59e7e4e28650759633700af7ed0a30
Ex: Foods
Ex: CureDAO
Ex: 0
Ex: https://quantimo.do
Ex: 72
Ex: https://safe.dfda.earth/img/logos/curedao-logo-qm-rainbow-200-200.png
Ex: <a href="https://quantimo.do"><img id="curedao_image" title="CureDAO" src="https://safe.dfda.earth/img/logos/curedao-logo-qm-rainbow-200-200.png" alt="CureDAO"></a>
Ex: <a href="https://quantimo.do">CureDAO</a>
Ex: CureDAO is a Chrome extension, Android app, iOS app, and web app that allows you to easily track mood, symptoms, or any outcome you want to optimize in a fraction of a second. You can also import your data from over 30 other apps and devices like Fitbit, Rescuetime, Jawbone Up, Withings, Facebook, GitHub, Google Calendar, Runkeeper, MoodPanda, Slice, Google Fit, and more. CureDAO then analyzes your data to identify which hidden factors are most likely to be influencing your mood or symptoms and their optimal daily values.
Ex: curedao
Ex: Tracks anything
Background color HEX code that matches the icon
Your client id can be obtained by creating an app at https://builder.quantimo.do
True if the authenticated user has this connector enabled
Ex: Your token is expired. Please re-connect
Ex: 8
Ex: CONNECTED
Number of measurements from this source or number of users who have measurements from this source
Ex: 2000-01-01 00:00:00 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2017-07-31 10:10:34 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Epoch timestamp of last sync
Ex: Got 412 new measurements on 2017-07-31 10:10:34
Mobile connect method: webview, cordova, google, spreadsheet, or ip
Platforms (chrome, android, ios, web) that you can connect on.
True if connection requires upgrade
Required connector scopes
URL to POST a spreadsheet to (if available for this data source)
Number of measurements obtained during latest update
Ex: 2017-07-31 10:10:34 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2017-07-18 05:16:31 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: UPDATED
Ex: 230
Ex: 1
Ex: 6
Ex: Sleep
Ex: MEAN
Ex: /5
Ex: 1448
Ex: 6
Ex: Sleep Quality
Ex: 0.14344467795996
Ex: high
Ex: 0.538
Ex: false
Ex: 2016-12-28 20:47:30 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Calculated Statistic: Ex: 1.646
Ex: higher
User-Defined Variable Setting: The amount of time over which a predictor/stimulus event can exert an observable influence on an outcome variable value. For instance, aspirin (stimulus/predictor) typically decreases headache severity for approximately four hours (duration of action) following the onset delay. Unit: Seconds
User-Defined Variable Setting: The amount of time over which a predictor/stimulus event can exert an observable influence on an outcome variable value. For instance, aspirin (stimulus/predictor) typically decreases headache severity for approximately four hours (duration of action) following the onset delay. Unit: Hours
Ex: 200
Ex: 145
Ex: optimalPearsonProduct is not defined
Ex: 193
Ex: true
Ex: ba7d0c12432650e23b3ce924ae2d21e2ff59e7e4e28650759633700af7ed0a30
Ex: Foods
Ex: CureDAO
Ex: 0
Ex: https://quantimo.do
Ex: 72
Ex: https://safe.dfda.earth/img/logos/curedao-logo-qm-rainbow-200-200.png
Ex: <a href="https://quantimo.do"><img id="curedao_image" title="CureDAO" src="https://safe.dfda.earth/img/logos/curedao-logo-qm-rainbow-200-200.png" alt="CureDAO"></a>
Ex: <a href="https://quantimo.do">CureDAO</a>
Ex: CureDAO is a Chrome extension, Android app, iOS app, and web app that allows you to easily track mood, symptoms, or any outcome you want to optimize in a fraction of a second. You can also import your data from over 30 other apps and devices like Fitbit, Rescuetime, Jawbone Up, Withings, Facebook, GitHub, Google Calendar, Runkeeper, MoodPanda, Slice, Google Fit, and more. CureDAO then analyzes your data to identify which hidden factors are most likely to be influencing your mood or symptoms and their optimal daily values.
Ex: curedao
Ex: Tracks anything
Background color HEX code that matches the icon
Your client id can be obtained by creating an app at https://builder.quantimo.do
True if the authenticated user has this connector enabled
Ex: Your token is expired. Please re-connect
Ex: 8
Ex: CONNECTED
Number of measurements from this source or number of users who have measurements from this source
Ex: 2000-01-01 00:00:00 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2017-07-31 10:10:34 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Epoch timestamp of last sync
Ex: Got 412 new measurements on 2017-07-31 10:10:34
Mobile connect method: webview, cordova, google, spreadsheet, or ip
Platforms (chrome, android, ios, web) that you can connect on.
True if connection requires upgrade
Required connector scopes
URL to POST a spreadsheet to (if available for this data source)
Number of measurements obtained during latest update
Ex: 2017-07-31 10:10:34 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2017-07-18 05:16:31 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: UPDATED
Ex: 230
Ex: moderately positive
Ex: /5
Ex: 1
Ex: 1
Ex: Emotions
Ex: MEAN
Ex: Mood_(psychology)
Ex: /5
Ex: 10
Ex: 1 to 5 Rating
Ex: 1398
Ex: 10
Ex: Overall Mood
Ex: 2014-07-30 12:50:00 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2012-05-06 21:15:00 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 0.528359
Ex: 298
Ex: 0
Ex: 0
Ex: -86400
Ex: -24
Ex: 0.68582816186982
User-Defined Variable Setting: Ex: -1. Unit: User-specified or common.
User-Defined Variable Setting: Ex: 23. Unit: User-specified or common.
User-Defined Variable Setting: Ex: 0.1. Unit: User-specified or common.
Ex: 0.477
Ex: 0.538
Ex: 0.538
Ex: RescueTime
Ex: -1. Unit: User-specified or common.
Ex: 200. Unit: User-specified or common.
Ex: 30. Unit: User-specified or common.
Ex: 17. Unit: User-specified or common.
Ex: -11. Unit: User-specified or common.
Ex: 0.39628900511586
Ex: 0.528
Ex: 0.01377184270977
Would you like to make this study publicly visible?
Ex: N1 Study: Sleep Quality Predicts Higher Overall Mood
Ex: N1 Study: Sleep Quality Predicts Higher Overall Mood
Ex: 1
Ex: 0.9813
Ex: moderate
Ex: 0.613
Embeddable chart html
Embeddable study text html including charts. Modifiable css classes are study-title, study-section-header, study-section-body
Play Store, App Store, Chrome Web Store
Embeddable study including HTML head section charts. Modifiable css classes are study-title, study-section-header, study-section-body
Embeddable study html including charts and css styling
Instructions for study participation
Embeddable table with statistics
Text summary
Title, study image, abstract with CSS styling
PNG image
Facebook, Twitter, Google+
Formatted study text sections
Ex: https://s3.amazonaws.com/curedao-docs/images/gauge-moderately-positive-relationship.png
Ex: https://s3.amazonaws.com/curedao-docs/images/gauge-moderately-positive-relationship-200-200.png
Ex: https://s3-us-west-1.amazonaws.com/qmimages/variable_categories_gauges_logo_background/gauge-moderately-positive-relationship_sleep_emotions_logo_background.png
Ex: https://static.quantimo.do/img/variable_categories/sleeping_in_bed-96.png
Ex: ion-ios-cloudy-night-outline
Ex: https://static.quantimo.do/img/variable_categories/theatre_mask-96.png
Ex: ion-happy-outline
Image with gauge and category images
Image with robot and category images
Avatar of the principal investigator
Ex: mailto:?subject=N1%20Study%3A%20Sleep%20Quality%20Predicts%20Higher%20Overall%20Mood&body=Check%20out%20my%20study%20at%20https%3A%2F%2Flocal.quantimo.do%2Fapi%2Fv2%2Fstudy%3FcauseVariableName%3DSleep%2520Quality%26effectVariableName%3DOverall%2520Mood%26userId%3D230%0A%0AHave%20a%20great%20day!
Ex: https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Flocal.quantimo.do%2Fapi%2Fv2%2Fstudy%3FcauseVariableName%3DSleep%2520Quality%26effectVariableName%3DOverall%2520Mood%26userId%3D230
Ex: https://plus.google.com/share?url=https%3A%2F%2Flocal.quantimo.do%2Fapi%2Fv2%2Fstudy%3FcauseVariableName%3DSleep%2520Quality%26effectVariableName%3DOverall%2520Mood%26userId%3D230
Ex: https://local.quantimo.do/api/v2/study?causeVariableName=Sleep%20Quality&effectVariableName=Overall%20Mood&userId=230
Ex: https://local.quantimo.do/ionic/Modo/www/index.html#/app/study?causeVariableName=Sleep%20Quality&effectVariableName=Overall%20Mood&userId=230
Ex: https://twitter.com/home?status=Sleep%20Quality%20Predicts%20Higher%20Overall%20Mood%20https%3A%2F%2Flocal.quantimo.do%2Fapi%2Fv2%2Fstudy%3FcauseVariableName%3DSleep%2520Quality%26effectVariableName%3DOverall%2520Mood%26userId%3D230%20%40curedao
Share this link with potential study participants
Ex: Aggregated data from 21 suggests with a low degree of confidence (p=0.097) that Very Distracting Time has a moderately positive predictive relationship (R=0.354) with Video Activities (Activity). The highest quartile of Video Activities measurements were observed following an average 2.03h Very Distracting Timeper day. The lowest quartile of Video Activities measurements were observed following an average 1.04h Very Distracting Timeper day.
Ex: This study is based on data donated by 21 CureDAO users. Thus, the study design is equivalent to the aggregation of 21 separate n=1 observational natural experiments.
Ex: As with any human experiment, it was impossible to control for all potentially confounding variables. Correlation does not necessarily imply correlation. We can never know for sure if one factor is definitely the cause of an outcome. However, lack of correlation definitely implies the lack of a causal relationship. Hence, we can with great confidence rule out non-existent relationships. For instance, if we discover no relationship between mood and an antidepressant this information is just as or even more valuable than the discovery that there is a relationship. <br> <br> We can also take advantage of several characteristics of time series data from many subjects to infer the likelihood of a causal relationship if we do find a correlational relationship. The criteria for causation are a group of minimal conditions necessary to provide adequate evidence of a causal relationship between an incidence and a possible consequence. The list of the criteria is as follows: <br> 1. Strength (effect size): A small association does not mean that there is not a causal effect, though the larger the association, the more likely that it is causal. <br> 2. Consistency (reproducibility): Consistent findings observed by different persons in different places with different samples strengthens the likelihood of an effect. <br> 3. Specificity: Causation is likely if a very specific population at a specific site and disease with no other likely explanation. The more specific an association between a factor and an effect is, the bigger the probability of a causal relationship. <br> 4. Temporality: The effect has to occur after the cause (and if there is an expected delay between the cause and expected effect, then the effect must occur after that delay). <br> 5. Biological gradient: Greater exposure should generally lead to greater incidence of the effect. However, in some cases, the mere presence of the factor can trigger the effect. In other cases, an inverse proportion is observed: greater exposure leads to lower incidence. <br> 6. Plausibility: A plausible mechanism between cause and effect is helpful. <br> 7. Coherence: Coherence between epidemiological and laboratory findings increases the likelihood of an effect. <br> 8. Experiment: "Occasionally it is possible to appeal to experimental evidence". <br> 9. Analogy: The effect of similar factors may be considered. <br> <br> The confidence in a causal relationship is bolstered by the fact that time-precedence was taken into account in all calculations. Furthermore, in accordance with the law of large numbers (LLN), the predictive power and accuracy of these results will continually grow over time. 146 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Very Distracting Time values, the observed strength of the relationship will decline until it is below the threshold of significance. To it another way, in the case that we do find a spurious correlation, suggesting that banana intake improves mood for instance, one will likely increase their banana intake. Due to the fact that this correlation is spurious, it is unlikely that you will see a continued and persistent corresponding increase in mood. So over time, the spurious correlation will naturally dissipate.Furthermore, it will be very enlightening to aggregate this data with the data from other participants with similar genetic, diseasomic, environmentomic, and demographic profiles.
Ex: The objective of this study is to determine the nature of the relationship (if any) between the Very Distracting Time and the Video Activities. Additionally, we attempt to determine the Very Distracting Time values most likely to produce optimal Video Activities values.
Ex: This analysis suggests that higher Very Distracting Time generally predicts negative Video Activities (p = 0.097). Video Activities is, on average, 36% higher after around 2.03 Very Distracting Time. After an onset delay of 168 hours, Video Activities is, on average, 16% lower than its average over the 168 hours following around 1.04 Very Distracting Time. 146 data points were used in this analysis. The value for Very Distracting Time changed 2984 times, effectively running 1492 separate natural experiments. The top quartile outcome values are preceded by an average 2.03 h of Very Distracting Time. The bottom quartile outcome values are preceded by an average 1.04 h of Very Distracting Time. Forward Pearson User Variable Relationship Coefficient was 0.354 (p=0.097, 95% CI -0.437 to 1.144 onset delay = 0 hours, duration of action = 168 hours) . The Reverse Pearson User Variable Relationship Coefficient was 0.208 (P=0.097, 95% CI -0.583 to 0.998, onset delay = -0 hours, duration of action = -168 hours). When the Very Distracting Time value is closer to 2.03 h than 1.04 h, the Video Activities value which follows is, on average, 36% percent higher than its typical value. When the Very Distracting Time value is closer to 1.04 h than 2.03 h, the Video Activities value which follows is 0% lower than its typical value. Video Activities is 5 h (67% higher) on average after days with around 5 h Very Distracting Time
Ex: N1 Study: Very Distracting Time Predicts Negative Video Activities
Ex: Overall Mood is 3.55/5 (15% higher) on average after days with around 4.19/5 Sleep Quality
Ex: Overall Mood is 2.65/5 (14% lower) on average after days with around 1.97/5 Sleep Quality
Ex: Overall Mood, on average, 17% higher after around 4.14/5 Sleep Quality
Ex: Overall Mood, on average, 11% lower after around 3.03/5 Sleep Quality
Ex: It was assumed that 0 hours would pass before a change in Very Distracting Time would produce an observable change in Video Activities. It was assumed that Very Distracting Time could produce an observable change in Video Activities for as much as 7 days after the stimulus event.
Ex: Very Distracting Time data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.<br>Video Activities data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.
Ex: Very Distracting Time data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.<br>Video Activities data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.
Ex: Very Distracting Time data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.<br>Video Activities data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.
Ex: Sleep Quality Predicts Higher Overall Mood
Ex: Sleep Quality Predicts Higher Overall Mood
Ex: Sleep Quality Predicts Higher Overall Mood
Ex: Sleep Quality Predicts Higher Overall Mood
Instructions for study participation
Ex: Sleep Quality Predicts Higher Overall Mood
Ex: Using a two-tailed t-test with alpha = 0.05, it was determined that the change in Video Activities is statistically significant at 95% confidence interval.
Help us determine if Remeron affects Overall Mood!
Does Remeron affect Overall Mood?
In order to reduce suffering through the advancement of human knowledge...
Ex: 9.6986079652717
Ex: 2017-05-06 15:40:38 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 230
Ex: 1
Ex: 4.14
Ex: 3.03
Sources used to collect data for the outcome variable
Mike Sinn
User Variable Relationship when cause and effect are reversed. For any causal relationship, the forward correlation should exceed the reverse correlation.
Ex:
Ex: 14764
Ex: 1
Ex: 1
Ex: 1
Ex: 1
Ex: 1
Ex: 0.011598441286655
Ex: 0.0333
Ex: 6
Ex: 1 or 0
VariableRelationships calculated with various onset delay hyper-parameters
Ex: 4.19
Ex: 1.97
Ex: 3.0791054117396
Ex: 3.55
Ex: 2.65
Ex: 0.396
Ex: 0.453667
Ex: 0.9855
Ex: 164
Ex: true
Ex: ba7d0c12432650e23b3ce924ae2d21e2ff59e7e4e28650759633700af7ed0a30
Ex: Foods
Ex: CureDAO
Ex: 0
Ex: https://quantimo.do
Ex: 72
Ex: https://safe.dfda.earth/img/logos/curedao-logo-qm-rainbow-200-200.png
Ex: <a href="https://quantimo.do"><img id="curedao_image" title="CureDAO" src="https://safe.dfda.earth/img/logos/curedao-logo-qm-rainbow-200-200.png" alt="CureDAO"></a>
Ex: <a href="https://quantimo.do">CureDAO</a>
Ex: CureDAO is a Chrome extension, Android app, iOS app, and web app that allows you to easily track mood, symptoms, or any outcome you want to optimize in a fraction of a second. You can also import your data from over 30 other apps and devices like Fitbit, Rescuetime, Jawbone Up, Withings, Facebook, GitHub, Google Calendar, Runkeeper, MoodPanda, Slice, Google Fit, and more. CureDAO then analyzes your data to identify which hidden factors are most likely to be influencing your mood or symptoms and their optimal daily values.
Ex: curedao
Ex: Tracks anything
Background color HEX code that matches the icon
Your client id can be obtained by creating an app at https://builder.quantimo.do
True if the authenticated user has this connector enabled
Ex: Your token is expired. Please re-connect
Ex: 8
Ex: CONNECTED
Number of measurements from this source or number of users who have measurements from this source
Ex: 2000-01-01 00:00:00 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2017-07-31 10:10:34 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Epoch timestamp of last sync
Ex: Got 412 new measurements on 2017-07-31 10:10:34
Mobile connect method: webview, cordova, google, spreadsheet, or ip
Platforms (chrome, android, ios, web) that you can connect on.
True if connection requires upgrade
Required connector scopes
URL to POST a spreadsheet to (if available for this data source)
Number of measurements obtained during latest update
Ex: 2017-07-31 10:10:34 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2017-07-18 05:16:31 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: UPDATED
Ex: 230
Ex: 1
Ex: 6
Ex: Sleep
Ex: MEAN
Ex: /5
Ex: 1448
Ex: 6
Ex: Sleep Quality
Ex: 0.14344467795996
Ex: high
Ex: 0.538
Ex: false
Ex: 2016-12-28 20:47:30 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Calculated Statistic: Ex: 1.646
Ex: higher
User-Defined Variable Setting: The amount of time over which a predictor/stimulus event can exert an observable influence on an outcome variable value. For instance, aspirin (stimulus/predictor) typically decreases headache severity for approximately four hours (duration of action) following the onset delay. Unit: Seconds
User-Defined Variable Setting: The amount of time over which a predictor/stimulus event can exert an observable influence on an outcome variable value. For instance, aspirin (stimulus/predictor) typically decreases headache severity for approximately four hours (duration of action) following the onset delay. Unit: Hours
Ex: 200
Ex: 145
Ex: optimalPearsonProduct is not defined
Ex: 193
Ex: true
Ex: ba7d0c12432650e23b3ce924ae2d21e2ff59e7e4e28650759633700af7ed0a30
Ex: Foods
Ex: CureDAO
Ex: 0
Ex: https://quantimo.do
Ex: 72
Ex: https://safe.dfda.earth/img/logos/curedao-logo-qm-rainbow-200-200.png
Ex: <a href="https://quantimo.do"><img id="curedao_image" title="CureDAO" src="https://safe.dfda.earth/img/logos/curedao-logo-qm-rainbow-200-200.png" alt="CureDAO"></a>
Ex: <a href="https://quantimo.do">CureDAO</a>
Ex: CureDAO is a Chrome extension, Android app, iOS app, and web app that allows you to easily track mood, symptoms, or any outcome you want to optimize in a fraction of a second. You can also import your data from over 30 other apps and devices like Fitbit, Rescuetime, Jawbone Up, Withings, Facebook, GitHub, Google Calendar, Runkeeper, MoodPanda, Slice, Google Fit, and more. CureDAO then analyzes your data to identify which hidden factors are most likely to be influencing your mood or symptoms and their optimal daily values.
Ex: curedao
Ex: Tracks anything
Background color HEX code that matches the icon
Your client id can be obtained by creating an app at https://builder.quantimo.do
True if the authenticated user has this connector enabled
Ex: Your token is expired. Please re-connect
Ex: 8
Ex: CONNECTED
Number of measurements from this source or number of users who have measurements from this source
Ex: 2000-01-01 00:00:00 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2017-07-31 10:10:34 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Epoch timestamp of last sync
Ex: Got 412 new measurements on 2017-07-31 10:10:34
Mobile connect method: webview, cordova, google, spreadsheet, or ip
Platforms (chrome, android, ios, web) that you can connect on.
True if connection requires upgrade
Required connector scopes
URL to POST a spreadsheet to (if available for this data source)
Number of measurements obtained during latest update
Ex: 2017-07-31 10:10:34 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2017-07-18 05:16:31 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: UPDATED
Ex: 230
Ex: moderately positive
Ex: /5
Ex: 1
Ex: 1
Ex: Emotions
Ex: MEAN
Ex: Mood_(psychology)
Ex: /5
Ex: 10
Ex: 1 to 5 Rating
Ex: 1398
Ex: 10
Ex: Overall Mood
Ex: 2014-07-30 12:50:00 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 2012-05-06 21:15:00 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 0.528359
Ex: 298
Ex: 0
Ex: 0
Ex: -86400
Ex: -24
Ex: 0.68582816186982
User-Defined Variable Setting: Ex: -1. Unit: User-specified or common.
User-Defined Variable Setting: Ex: 23. Unit: User-specified or common.
User-Defined Variable Setting: Ex: 0.1. Unit: User-specified or common.
Ex: 0.477
Ex: 0.538
Ex: 0.538
Ex: RescueTime
Ex: -1. Unit: User-specified or common.
Ex: 200. Unit: User-specified or common.
Ex: 30. Unit: User-specified or common.
Ex: 17. Unit: User-specified or common.
Ex: -11. Unit: User-specified or common.
Ex: 0.39628900511586
Ex: 0.528
Ex: 0.01377184270977
Would you like to make this study publicly visible?
Ex: N1 Study: Sleep Quality Predicts Higher Overall Mood
Ex: N1 Study: Sleep Quality Predicts Higher Overall Mood
Ex: 1
Ex: 0.9813
Ex: moderate
Ex: 0.613
Embeddable chart html
Embeddable study text html including charts. Modifiable css classes are study-title, study-section-header, study-section-body
Play Store, App Store, Chrome Web Store
Embeddable study including HTML head section charts. Modifiable css classes are study-title, study-section-header, study-section-body
Embeddable study html including charts and css styling
Instructions for study participation
Embeddable table with statistics
Text summary
Title, study image, abstract with CSS styling
PNG image
Facebook, Twitter, Google+
Formatted study text sections
Ex: https://s3.amazonaws.com/curedao-docs/images/gauge-moderately-positive-relationship.png
Ex: https://s3.amazonaws.com/curedao-docs/images/gauge-moderately-positive-relationship-200-200.png
Ex: https://s3-us-west-1.amazonaws.com/qmimages/variable_categories_gauges_logo_background/gauge-moderately-positive-relationship_sleep_emotions_logo_background.png
Ex: https://static.quantimo.do/img/variable_categories/sleeping_in_bed-96.png
Ex: ion-ios-cloudy-night-outline
Ex: https://static.quantimo.do/img/variable_categories/theatre_mask-96.png
Ex: ion-happy-outline
Image with gauge and category images
Image with robot and category images
Avatar of the principal investigator
Ex: mailto:?subject=N1%20Study%3A%20Sleep%20Quality%20Predicts%20Higher%20Overall%20Mood&body=Check%20out%20my%20study%20at%20https%3A%2F%2Flocal.quantimo.do%2Fapi%2Fv2%2Fstudy%3FcauseVariableName%3DSleep%2520Quality%26effectVariableName%3DOverall%2520Mood%26userId%3D230%0A%0AHave%20a%20great%20day!
Ex: https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Flocal.quantimo.do%2Fapi%2Fv2%2Fstudy%3FcauseVariableName%3DSleep%2520Quality%26effectVariableName%3DOverall%2520Mood%26userId%3D230
Ex: https://plus.google.com/share?url=https%3A%2F%2Flocal.quantimo.do%2Fapi%2Fv2%2Fstudy%3FcauseVariableName%3DSleep%2520Quality%26effectVariableName%3DOverall%2520Mood%26userId%3D230
Ex: https://local.quantimo.do/api/v2/study?causeVariableName=Sleep%20Quality&effectVariableName=Overall%20Mood&userId=230
Ex: https://local.quantimo.do/ionic/Modo/www/index.html#/app/study?causeVariableName=Sleep%20Quality&effectVariableName=Overall%20Mood&userId=230
Ex: https://twitter.com/home?status=Sleep%20Quality%20Predicts%20Higher%20Overall%20Mood%20https%3A%2F%2Flocal.quantimo.do%2Fapi%2Fv2%2Fstudy%3FcauseVariableName%3DSleep%2520Quality%26effectVariableName%3DOverall%2520Mood%26userId%3D230%20%40curedao
Share this link with potential study participants
Ex: Aggregated data from 21 suggests with a low degree of confidence (p=0.097) that Very Distracting Time has a moderately positive predictive relationship (R=0.354) with Video Activities (Activity). The highest quartile of Video Activities measurements were observed following an average 2.03h Very Distracting Timeper day. The lowest quartile of Video Activities measurements were observed following an average 1.04h Very Distracting Timeper day.
Ex: This study is based on data donated by 21 CureDAO users. Thus, the study design is equivalent to the aggregation of 21 separate n=1 observational natural experiments.
Ex: As with any human experiment, it was impossible to control for all potentially confounding variables. Correlation does not necessarily imply correlation. We can never know for sure if one factor is definitely the cause of an outcome. However, lack of correlation definitely implies the lack of a causal relationship. Hence, we can with great confidence rule out non-existent relationships. For instance, if we discover no relationship between mood and an antidepressant this information is just as or even more valuable than the discovery that there is a relationship. <br> <br> We can also take advantage of several characteristics of time series data from many subjects to infer the likelihood of a causal relationship if we do find a correlational relationship. The criteria for causation are a group of minimal conditions necessary to provide adequate evidence of a causal relationship between an incidence and a possible consequence. The list of the criteria is as follows: <br> 1. Strength (effect size): A small association does not mean that there is not a causal effect, though the larger the association, the more likely that it is causal. <br> 2. Consistency (reproducibility): Consistent findings observed by different persons in different places with different samples strengthens the likelihood of an effect. <br> 3. Specificity: Causation is likely if a very specific population at a specific site and disease with no other likely explanation. The more specific an association between a factor and an effect is, the bigger the probability of a causal relationship. <br> 4. Temporality: The effect has to occur after the cause (and if there is an expected delay between the cause and expected effect, then the effect must occur after that delay). <br> 5. Biological gradient: Greater exposure should generally lead to greater incidence of the effect. However, in some cases, the mere presence of the factor can trigger the effect. In other cases, an inverse proportion is observed: greater exposure leads to lower incidence. <br> 6. Plausibility: A plausible mechanism between cause and effect is helpful. <br> 7. Coherence: Coherence between epidemiological and laboratory findings increases the likelihood of an effect. <br> 8. Experiment: "Occasionally it is possible to appeal to experimental evidence". <br> 9. Analogy: The effect of similar factors may be considered. <br> <br> The confidence in a causal relationship is bolstered by the fact that time-precedence was taken into account in all calculations. Furthermore, in accordance with the law of large numbers (LLN), the predictive power and accuracy of these results will continually grow over time. 146 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Very Distracting Time values, the observed strength of the relationship will decline until it is below the threshold of significance. To it another way, in the case that we do find a spurious correlation, suggesting that banana intake improves mood for instance, one will likely increase their banana intake. Due to the fact that this correlation is spurious, it is unlikely that you will see a continued and persistent corresponding increase in mood. So over time, the spurious correlation will naturally dissipate.Furthermore, it will be very enlightening to aggregate this data with the data from other participants with similar genetic, diseasomic, environmentomic, and demographic profiles.
Ex: The objective of this study is to determine the nature of the relationship (if any) between the Very Distracting Time and the Video Activities. Additionally, we attempt to determine the Very Distracting Time values most likely to produce optimal Video Activities values.
Ex: This analysis suggests that higher Very Distracting Time generally predicts negative Video Activities (p = 0.097). Video Activities is, on average, 36% higher after around 2.03 Very Distracting Time. After an onset delay of 168 hours, Video Activities is, on average, 16% lower than its average over the 168 hours following around 1.04 Very Distracting Time. 146 data points were used in this analysis. The value for Very Distracting Time changed 2984 times, effectively running 1492 separate natural experiments. The top quartile outcome values are preceded by an average 2.03 h of Very Distracting Time. The bottom quartile outcome values are preceded by an average 1.04 h of Very Distracting Time. Forward Pearson User Variable Relationship Coefficient was 0.354 (p=0.097, 95% CI -0.437 to 1.144 onset delay = 0 hours, duration of action = 168 hours) . The Reverse Pearson User Variable Relationship Coefficient was 0.208 (P=0.097, 95% CI -0.583 to 0.998, onset delay = -0 hours, duration of action = -168 hours). When the Very Distracting Time value is closer to 2.03 h than 1.04 h, the Video Activities value which follows is, on average, 36% percent higher than its typical value. When the Very Distracting Time value is closer to 1.04 h than 2.03 h, the Video Activities value which follows is 0% lower than its typical value. Video Activities is 5 h (67% higher) on average after days with around 5 h Very Distracting Time
Ex: N1 Study: Very Distracting Time Predicts Negative Video Activities
Ex: Overall Mood is 3.55/5 (15% higher) on average after days with around 4.19/5 Sleep Quality
Ex: Overall Mood is 2.65/5 (14% lower) on average after days with around 1.97/5 Sleep Quality
Ex: Overall Mood, on average, 17% higher after around 4.14/5 Sleep Quality
Ex: Overall Mood, on average, 11% lower after around 3.03/5 Sleep Quality
Ex: It was assumed that 0 hours would pass before a change in Very Distracting Time would produce an observable change in Video Activities. It was assumed that Very Distracting Time could produce an observable change in Video Activities for as much as 7 days after the stimulus event.
Ex: Very Distracting Time data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.<br>Video Activities data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.
Ex: Very Distracting Time data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.<br>Video Activities data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.
Ex: Very Distracting Time data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.<br>Video Activities data was primarily collected using <a href="https://www.rescuetime.com/rp/curedao/plans">RescueTime</a>. Detailed reports show which applications and websites you spent time on. Activities are automatically grouped into pre-defined categories with built-in productivity scores covering thousands of websites and applications. You can customize categories and productivity scores to meet your needs.
Ex: Sleep Quality Predicts Higher Overall Mood
Ex: Sleep Quality Predicts Higher Overall Mood
Ex: Sleep Quality Predicts Higher Overall Mood
Ex: Sleep Quality Predicts Higher Overall Mood
Instructions for study participation
Ex: Sleep Quality Predicts Higher Overall Mood
Ex: Using a two-tailed t-test with alpha = 0.05, it was determined that the change in Video Activities is statistically significant at 95% confidence interval.
Help us determine if Remeron affects Overall Mood!
Does Remeron affect Overall Mood?
In order to reduce suffering through the advancement of human knowledge...
Ex: 9.6986079652717
Ex: 2017-05-06 15:40:38 UTC ISO 8601 YYYY-MM-DDThh:mm:ss
Ex: 230
Ex: 1
Ex: 4.14
Ex: 3.03
Sources used to collect data for the outcome variable
Mike Sinn
User Variable Relationship when cause and effect are reversed. For any causal relationship, the forward correlation should exceed the reverse correlation.
Ex:
Ex: 14764
Ex: 1
Ex: 1
Ex: 1
Ex: 1
Ex: 1
Ex: 0.011598441286655
Ex: 0.0333
Ex: 6
Ex: 1 or 0
Highchart config illustrating user_variable_relationships calculated with various duration of action hyper-parameters
Highchart config illustrating user_variable_relationships calculated with various onset delay hyper-parameters
Ex: 1
Ex: 1
Ex: 1
Ex: 1
Ex: 1
Ex: 0.011598441286655
Ex: 0.0333
Ex: 6
Ex: 1 or 0
Ex: These factors are most predictive of Overall Mood based on your own data.
Ex: ion-ios-person
Ex: https://local.quantimo.do
Ex: Connect
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: This is a tooltip
Post here on button click
Ex: The more data I have the more accurate your results will be so track regularly!
Ex: Improve Accuracy
Ex: Top Predictors of Overall Mood
Embeddable list of study summaries with explanation at the top
Can be used as body of help info popup
Can be used as title in help info popup
Array of error objects with message property
Error message
ex. OK or ERROR
true or false
Response code such as 200
A super neat url you might want to share with your users!
HTML element id
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
Ex: https://local.quantimo.do
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: Connect
Ex: This is a tooltip
Post here on button click
Smaller square image
Smaller circular image
Ex: #f2f2f2
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
Ex: https://local.quantimo.do
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: Connect
Ex: This is a tooltip
Post here on button click
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
Ex: https://local.quantimo.do
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: Connect
Ex: This is a tooltip
Post here on button click
Ex: Content
Ex: Title
HTML for the entire card.
Ex: <div>Content</div>
Larger image of variable dimensions
HTML element id
Selector list options
Ex: Title
Ex: Title
Ex: https://local.quantimo.do
Ex: Connect
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: This is a tooltip
Post here on button click
Ex: Title
check_box, date, email, number, postal_code, select_option, string, switch, text_area, unit, variable_category See https://html5pattern.com/ for examples
Ex: ion-refresh
A link to a web page or something. Not much more to say about that.
Key value pairs derived from user input fields, button clicks, or preset defaults
Ex: https://local.quantimo.do
Ex: Connect
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: This is a tooltip
Post here on button click
Ex: sharingBody
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
Ex: https://local.quantimo.do
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: Connect
Ex: This is a tooltip
Post here on button click
Ex: sharingTitle
Ex: subTitle
Ex: subTitle
Ex: Title
Square icon png url
Array of error objects with message property
Error message
ex. OK or ERROR
true or false
Response code such as 200
A super neat url you might want to share with your users!
HTML element id
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
Ex: https://local.quantimo.do
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: Connect
Ex: This is a tooltip
Post here on button click
Smaller square image
Smaller circular image
Ex: #f2f2f2
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
Ex: https://local.quantimo.do
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: Connect
Ex: This is a tooltip
Post here on button click
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
Ex: https://local.quantimo.do
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: Connect
Ex: This is a tooltip
Post here on button click
Ex: Content
Ex: Title
HTML for the entire card.
Ex: <div>Content</div>
Larger image of variable dimensions
HTML element id
Selector list options
Ex: Title
Ex: Title
Ex: https://local.quantimo.do
Ex: Connect
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: This is a tooltip
Post here on button click
Ex: Title
check_box, date, email, number, postal_code, select_option, string, switch, text_area, unit, variable_category See https://html5pattern.com/ for examples
Ex: ion-refresh
A link to a web page or something. Not much more to say about that.
Key value pairs derived from user input fields, button clicks, or preset defaults
Ex: https://local.quantimo.do
Ex: Connect
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: This is a tooltip
Post here on button click
Ex: sharingBody
Ex: connect
Action data
Ex: connect
Ex: #f2f2f2
Text to show user before executing functionName
Name of function to call
Data to provide to functionName or be copied to the card parameters when button is clicked and card is posted to the API
Ex: connect
HTML element id
Ex: https://image.jpg
Ex: ion-refresh
Ex: https://local.quantimo.do
State to go to
Data to provide to the state
Text to show user after executing functionName
Text to show user after executing functionName
Text to show user after executing functionName
Ex: Connect
Ex: This is a tooltip
Post here on button click
Ex: sharingTitle
Ex: subTitle
Ex: subTitle
Ex: Title