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Based on data from 2 participants, Overall Mood is generally highest after an average of 0 tablets of Opti-men Multivitamin over the previous 7 days.
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People with higher Opti-men Multivitamin usually have higher Overall Mood
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Opti-men Multivitamin on each day of the week.
This chart shows the typical value recorded for Opti-men Multivitamin for each month of the year.
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

Aggregated data from 2 study participants suggests with a medium degree of confidence (p=0.047699264953184, 95% CI -0.08 to 0.282) that Opti-men Multivitamin has a weakly positive predictive relationship (R=0.1) with Overall Mood. The highest quartile of Overall Mood measurements were observed following an average 0.22 tablets Opti-men Multivitamin. The lowest quartile of Overall Mood measurements were observed following an average 0.22285200675031 tablets Opti-men Multivitamin.

Objective

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

Participant Instructions

Record your Opti-men Multivitamin 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 2 participants. Thus, the study design is equivalent to the aggregation of 2 separate n=1 observational natural experiments.

Data Analysis

Opti-men Multivitamin Pre-Processing
Opti-men Multivitamin measurement values below 0 tablets were assumed erroneous and removed. Opti-men Multivitamin measurement values above 20 tablets were assumed erroneous and removed. It was assumed that any gaps in Opti-men Multivitamin data were unrecorded 0 tablets measurement values.
Opti-men Multivitamin 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 0.25 hours would pass before a change in Opti-men Multivitamin would produce an observable change in Overall Mood. It was assumed that Opti-men Multivitamin could produce an observable change in Overall Mood for as much as 7 days after the stimulus event.
Predictive Analysis Settings

Data Sources

Opti-men Multivitamin 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 weakly positive relationship between Opti-men Multivitamin 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. 198 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Opti-men Multivitamin 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, 2 humans feel that there is a plausible mechanism of action and 2 feel that any relationship observed between Opti-men Multivitamin 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 Opti-men Multivitamin
Effect Variable Name Overall Mood
Sinn Predictive Coefficient 0.015777619085155
Confidence Level medium
Confidence Interval 0.18078577013615
Forward Pearson Correlation Coefficient 0.1011
Critical T Value 1.655
Average Opti-men Multivitamin Over Previous 7 days Before ABOVE Average Overall Mood 0.22 tablets
Average Opti-men Multivitamin Over Previous 7 days Before BELOW Average Overall Mood 0.22285200675031 tablets
Duration of Action 7 days
Effect Size weakly positive
Number of Paired Measurements 198
Optimal Pearson Product 0.12335761414538
P Value 0.047699264953184
Statistical Significance 0.18394999951124
Strength of Relationship 0.18078577013615
Study Type population
Analysis Performed At 2019-04-04
Number of Participants 2

Opti-men Multivitamin Statistics

Property Value
Variable Name Opti-men Multivitamin
Aggregation Method MEAN
Analysis Performed At 2019-04-04
Duration of Action 7 days
Kurtosis 6.4476064481366
Maximum Allowed Value 20 tablets
Mean 0.47739133333333 tablets
Median 0.33333333333333 tablets
Minimum Allowed Value 0 tablets
Number of Correlations 32
Number of Measurements 53
Onset Delay 30 minutes
Standard Deviation 0.24839794085543
Unit Tablets
UPC 785923187747
Variable ID 1395
Variance 0.10069185250174

Overall Mood Statistics

Property Value
Variable Name Overall Mood
Aggregation Method MEAN
Analysis Performed At 2019-04-03
Duration of Action 24 hours
Kurtosis 3.7383708126619
Maximum Allowed Value 5 out of 5
Mean 3.1156748504321 out of 5
Median 3.1369047348216 out of 5
Minimum Allowed Value 1 out of 5
Number of Correlations 1149
Number of Measurements 605816
Onset Delay 0 seconds
Standard Deviation 0.56833853113207
Unit 1 to 5 Rating
UPC 767674073845
Variable ID 1398
Variance 0.43884384603152


Tracking Opti-men Multivitamin

Record your Opti-men Multivitamin 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