This individual's Overall Mood is generally 7.8% higher after 0.143 applications UVB over the previous 7 days.
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Blue represents the sum of UVB over the previous 7 days
An increase in 7 days cumulative UVB is usually followed by an increase in Overall Mood. (R = 0.083)
Typical values for Overall Mood following a given amount of UVB over the previous 7 days.
Typical UVB seen over the previous 7 days preceding the given Overall Mood value.
Correlation between outcome and aggregated predictor measurements over given number of days
Peak correlation suggests the delay between predictor and observable outcome
This chart shows how UVB changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for UVB on each day of the week.
This chart shows the typical value recorded for UVB for each month of the year.
This chart shows how Overall Mood changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Overall Mood on each day of the week.
This chart shows the typical value recorded for Overall Mood for each month of the year.

Abstract

This individual's Overall Mood is generally 8% higher than normal after an average of 1 applications UVB over the previous 7 days. This individual's data suggests with a medium degree of confidence (p=0.020733357050756, 95% CI -0.065 to 0.231) that UVB has a very weakly positive predictive relationship (R=0.08) with Overall Mood. The highest quartile of Overall Mood measurements were observed following an average 0 applications UVB. The lowest quartile of Overall Mood measurements were observed following an average 0.0010427528675704 applications UVB. Overall Mood is generally 0% lower than normal after an average of 0.0010427528675704 applications of UVB over the previous 7 days. Overall Mood is generally 8% higher after an average of 0 applications of UVB over the previous 7 days.

Objective

The objective of this study is to determine the nature of the relationship (if any) between UVB and Overall Mood. Additionally, we attempt to determine the UVB values most likely to produce optimal Overall Mood values.

Participant Instructions

Record your UVB daily in the reminder inbox or using the interactive web or mobile notifications.
Record your Overall Mood daily in the reminder inbox or using the interactive web or mobile notifications.

Design

This study is based on data donated by one participant. Thus, the study design is consistent with an n=1 observational natural experiment.

Data Analysis

UVB Pre-Processing
UVB measurement values below 0 applications were assumed erroneous and removed. UVB measurement values above 20 applications were assumed erroneous and removed. It was assumed that any gaps in UVB data were unrecorded 0 applications measurement values.
UVB Analysis Settings

Overall Mood Pre-Processing
Overall Mood measurement values below 1 out of 5 were assumed erroneous and removed. Overall Mood measurement values above 5 out of 5 were assumed erroneous and removed. No missing data filling value was defined for Overall Mood so any gaps in data were just not analyzed instead of assuming zero values for those times.
Overall Mood Analysis Settings

Predictive Analytics
It was assumed that 0.5 hours would pass before a change in UVB would produce an observable change in Overall Mood. It was assumed that UVB could produce an observable change in Overall Mood for as much as 7 days after the stimulus event.
Predictive Analysis Settings

Data Quantity
2 raw UVB measurements with 2 changes spanning 433 days from 2014-03-24 to 2015-05-31 were used in this analysis. 14171 raw Overall Mood measurements with 1271 changes spanning 2662 days from 2012-05-06 to 2019-08-19 were used in this analysis.

Statistical Significance

Using a two-tailed t-test with alpha = 0.05, it was determined that the change in Overall Mood is statistically significant at 95% confidence interval. After treatment, a 7.8% increase (0.21919441997595 out of 5) from the mean baseline 2.811417824922 out of 5 was observed. The relative standard deviation at baseline was 13%. The observed change was 0.59866880056374 times the standard deviation. A common rule of thumb considers a change greater than twice the baseline standard deviation on two separate pre-post experiments may be considered significant. This occurrence would may have only a 5% likelihood of resulting from random fluctuation (a p-value

Data Sources

UVB data was primarily collected using QuantiModo. QuantiModo 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. QuantiModo then analyzes your data to identify which hidden factors are most likely to be influencing your mood or symptoms.

Overall Mood data was primarily collected using QuantiModo. QuantiModo 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. QuantiModo then analyzes your data to identify which hidden factors are most likely to be influencing your mood or symptoms.

Limitations

As with any human experiment, it was impossible to control for all potentially confounding variables. Correlation does not necessarily imply causation. 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.
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:
Strength (A.K.A. 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. There is a very weakly positive relationship between UVB and Overall Mood

Consistency (A.K.A. Reproducibility)
Consistent findings observed by different persons in different places with different samples strengthens the likelihood of an effect. Furthermore, in accordance with the law of large numbers (LLN), the predictive power and accuracy of these results will continually grow over time. 368 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their UVB 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.

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.

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). The confidence in a causal relationship is bolstered by the fact that time-precedence was taken into account in all calculations.

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.

Plausibility
A plausible bio-chemical mechanism between cause and effect is critical. This is where human brains excel. Based on our responses so far, 1 humans feel that there is a plausible mechanism of action and 0 feel that any relationship observed between UVB and Overall Mood is coincidental.

Coherence
Coherence between epidemiological and laboratory findings increases the likelihood of an effect. It will be very enlightening to aggregate this data with the data from other participants with similar genetic, diseasomic, environmentomic, and demographic profiles.

Experiment
All of human life can be considered a natural experiment. Occasionally, it is possible to appeal to experimental evidence.

Analogy
The effect of similar factors may be considered.

Relationship Statistics

Property Value
Cause Variable Name UVB
Effect Variable Name Overall Mood
Sinn Predictive Coefficient 0.0003
Confidence Level medium
Confidence Interval 0.14835880012608
Forward Pearson Predictive Coefficient 0.083
Critical T Value 1.646
Average UVB Over Previous 7 days Before ABOVE Average Overall Mood 0 applications
Average UVB Over Previous 7 days Before BELOW Average Overall Mood 0.001 applications
Duration of Action 7 days
Effect Size very weakly positive
Number of Paired Measurements 368
Optimal Pearson Product 0.011997980853404
P Value 0.020733357050756
Statistical Significance 0.0042
Strength of Relationship 0.14835880012608
Study Type individual
Analysis Performed At 2019-07-16
Number of Pairs 368
Number of Raw Predictor Measurements ( Including Tags, Joins, and Children) 2
Baseline Relative Standard Deviation of Outcome Measurements 13
Experiment Duration (days) 514
Number of Raw Outcome Measurements 14051
Z Score 0.59866880056374
Last Analysis 2019-07-16
Experiment Began 2014-02-22 06:00:00
Experiment Ended 2015-07-21 16:57:50
P Value 0.020733357050756
Predictor Category Treatments
Duration of Action (h) 168
Onset Delay (h) 0.5
Significance 0.0042
Outcome Relative Standard Deviation at Baseline 13
Outcome Standard Deviation at Baseline 0.36613636750327/5
Outcome Mean at Baseline 2.811417824922/5
Average Followup Change From Baseline 7.8&
Average Absolute Followup Change From Baseline 3.030612244898/5
Z- Score 0.59866880056374
Average Predictor Treatment Value 0.143applications over 7 days

UVB Statistics

Property Value
Variable Name UVB
Aggregation Method SUM
Analysis Performed At 2019-08-08
Duration of Action 21 days
Kurtosis 2834.0010574553
Maximum Allowed Value 20 applications
Mean 0.00035249 applications
Median 0 applications
Minimum Allowed Value 0 applications
Number of Changes 2
Number of Measurements 2
Onset Delay 30 minutes
Standard Deviation 0.018774584399838
Unit Applications
UPC 795042673106
Variable ID 53528
Variance 0.00035248501938666

Overall Mood Statistics

Property Value
Variable Name Overall Mood
Aggregation Method MEAN
Analysis Performed At 2019-08-19
Duration of Action 24 hours
Kurtosis 6.8691023963331
Maximum Allowed Value 5 out of 5
Mean 2.9073 out of 5
Median 3 out of 5
Minimum Allowed Value 1 out of 5
Number of Changes 1271
Number of Correlations 4600
Number of Measurements 14171
Onset Delay 0 seconds
Standard Deviation 0.52064074107278
Unit 1 to 5 Rating
UPC 767674073845
Variable ID 1398
Variance 0.27106678126481

Tracking UVB

Record your UVB daily in the reminder inbox or using the interactive web or mobile notifications.

Tracking Overall Mood

Record your Overall Mood daily in the reminder inbox or using the interactive web or mobile notifications.
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https://lh6.googleusercontent.com/-BHr4hyUWqZU/AAAAAAAAAAI/AAAAAAAIG28/2Lv0en738II/photo.jpg Principal Investigator - Mike Sinn