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This individual's Email Activities is generally highest after a daily total of 200 milligrams of CoQ10 By Doctors Best intake over the previous 7 days.
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Blue represents the sum of CoQ10 By Doctors Best intake over the previous 7 days
An increase in 7 days cumulative CoQ10 By Doctors Best intake is usually followed by an decrease in Email Activities. (R = -0.293)
Typical values for Email Activities following a given amount of CoQ10 By Doctors Best intake over the previous 7 days.
Typical CoQ10 By Doctors Best intake seen over the previous 7 days preceding the given Email Activities value.
This chart shows how your CoQ10 By Doctors Best changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for CoQ10 By Doctors Best on each day of the week.
This chart shows the typical value recorded for CoQ10 By Doctors Best for each month of the year.
This chart shows how your Email Activities changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Email Activities on each day of the week.
This chart shows the typical value recorded for Email Activities for each month of the year.

Abstract

This individual's Email Activities is generally 25% higher than normal after a total of 200 milligrams CoQ10 By Doctors Best intake over the previous 7 days. This individual's data suggests with a high degree of confidence (p=1.860629621749E-22, 95% CI -0.339 to -0.247) that CoQ10 By Doctors Best has a weakly negative predictive relationship (R=-0.29) with Email Activities. The highest quartile of Email Activities measurements were observed following an average 204.94 milligrams CoQ10 By Doctors Best per day. The lowest quartile of Email Activities measurements were observed following an average 387.09677419355 mg CoQ10 By Doctors Best per day.Email Activities is generally 28% lower than normal after a total of 387.09677419355 milligrams of CoQ10 By Doctors Best intake over the previous 7 days. Email Activities is generally 25% higher after a total of 204.94 milligrams of CoQ10 By Doctors Best intake over the previous 7 days.

Objective

The objective of this study is to determine the nature of the relationship (if any) between CoQ10 By Doctors Best and Email Activities. Additionally, we attempt to determine the CoQ10 By Doctors Best values most likely to produce optimal Email Activities values.

Participant Instructions

Record your CoQ10 By Doctors Best daily in the reminder inbox or using the interactive web or mobile notifications.
Get RescueTime here and use it to record your Email Activities. Once you have a RescueTime account, you can import your data from the Import Data page. This individual's data will automatically be imported and analyzed.

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

CoQ10 By Doctors Best Pre-Processing
CoQ10 By Doctors Best measurement values below 0 milligrams were assumed erroneous and removed. No maximum allowed measurement value was defined for CoQ10 By Doctors Best. It was assumed that any gaps in CoQ10 By Doctors Best data were unrecorded 0 milligrams measurement values.
CoQ10 By Doctors Best Analysis Settings

Email Activities Pre-Processing
Email Activities measurement values below 0 seconds were assumed erroneous and removed. Email Activities measurement values above 7 days were assumed erroneous and removed. It was assumed that any gaps in Email Activities data were unrecorded 0 seconds measurement values.
Email Activities Analysis Settings

Predictive Analytics
It was assumed that 0.5 hours would pass before a change in CoQ10 By Doctors Best would produce an observable change in Email Activities. It was assumed that CoQ10 By Doctors Best could produce an observable change in Email Activities for as much as 7 days after the stimulus event.
Predictive Analysis Settings

Data Quantity
670 raw CoQ10 By Doctors Best measurements with 136 changes spanning 1223 days from 2015-07-18 to 2018-11-22 were used in this analysis. 1675 raw Email Activities measurements with 1693 changes spanning 1711 days from 2013-08-10 to 2018-04-17 were used in this analysis.

Data Sources

CoQ10 By Doctors Best 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.

Email Activities data was primarily collected using RescueTime. 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.

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 negative relationship between CoQ10 By Doctors Best intake and Email Activities

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. 1034 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their CoQ10 By Doctors Best intake 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 CoQ10 By Doctors Best intake and Email Activities 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 CoQ10 By Doctors Best intake
Effect Variable Name Email Activities
Sinn Predictive Coefficient 0.292
Confidence Level high
Confidence Interval 0.046462000768168
Forward Pearson Correlation Coefficient -0.293
Critical T Value 1.646
Total Co Q10 By Doctors Best intake Over Previous 7 days Before ABOVE Average Email Activities 204.94 milligrams
Total Co Q10 By Doctors Best intake Over Previous 7 days Before BELOW Average Email Activities 387.097 milligrams
Duration of Action 7 days
Effect Size weakly negative
Number of Paired Measurements 1034
Optimal Pearson Product 0.16393938668178
P Value 1.860629621749E-22
Statistical Significance 0.9965
Strength of Relationship 0.046462000768168
Study Type individual
Analysis Performed At 2019-04-05

CoQ10 By Doctors Best Statistics

Property Value
Variable Name CoQ10 By Doctors Best
Aggregation Method SUM
Analysis Performed At 2019-01-25
Duration of Action 7 days
Kurtosis 4.4216106272873
Mean 22.593 milligrams
Median 0 milligrams
Minimum Allowed Value 0 milligrams
Number of Changes 136
Number of Correlations 251
Number of Measurements 670
Onset Delay 30 minutes
Standard Deviation 43.457396760059
Unit Milligrams
UPC 753950003323
Variable ID 5627141
Variance 1888.5453331612

Email Activities Statistics

Property Value
Variable Name Email Activities
Aggregation Method SUM
Analysis Performed At 2019-03-30
Duration of Action 7 days
Kurtosis 8.3546126732425
Maximum Allowed Value 7 days
Mean 46 minutes
Median 38 minutes
Minimum Allowed Value 0 seconds
Number of Changes 1693
Number of Correlations 2340
Number of Measurements 1675
Onset Delay 0 seconds
Standard Deviation 0.67544902565196
Unit Hours
Variable ID 5956884
Variance 0.45623138625418

Tracking CoQ10 By Doctors Best

Record your CoQ10 By Doctors Best daily in the reminder inbox or using the interactive web or mobile notifications.

Tracking Email Activities

Get RescueTime here and use it to record your Email Activities. Once you have a RescueTime account, you can import your data from the Import Data page. This individual's data will automatically be imported and analyzed.
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https://lh6.googleusercontent.com/-BHr4hyUWqZU/AAAAAAAAAAI/AAAAAAAIG28/2Lv0en738II/photo.jpg Principal Investigator - Mike Sinn