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This individual's Time Asleep is generally highest after a daily total of 1 serving of Vegetable And Cheese Omelet consumption over the previous 7 days.
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Blue represents the sum of Vegetable And Cheese Omelet consumption over the previous 7 days
An increase in 7 days cumulative Vegetable And Cheese Omelet consumption is usually followed by an increase in Time Asleep. (R = 0.135)
Typical values for Time Asleep following a given amount of Vegetable And Cheese Omelet consumption over the previous 7 days.
Typical Vegetable And Cheese Omelet consumption seen over the previous 7 days preceding the given Time Asleep value.
This chart shows how your Vegetable And Cheese Omelet changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Vegetable And Cheese Omelet on each day of the week.
This chart shows the typical value recorded for Vegetable And Cheese Omelet for each month of the year.
This chart shows how your Time Asleep changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Time Asleep on each day of the week.
This chart shows the typical value recorded for Time Asleep for each month of the year.

Abstract

This individual's Time Asleep is generally 8% higher than normal after a total of 1 serving Vegetable And Cheese Omelet consumption over the previous 7 days. This individual's data suggests with a medium degree of confidence (p=0.16295065212766, 95% CI -59.174 to 59.444) that Vegetable And Cheese Omelet has a weakly positive predictive relationship (R=0.14) with Time Asleep. The highest quartile of Time Asleep measurements were observed following an average 0.48 serving Vegetable And Cheese Omelet per day. The lowest quartile of Time Asleep measurements were observed following an average 0.36 serving Vegetable And Cheese Omelet per day.Time Asleep is generally 3% lower than normal after a total of 0.36 serving of Vegetable And Cheese Omelet consumption over the previous 7 days. Time Asleep is generally 8% higher after a total of 0.48 serving of Vegetable And Cheese Omelet consumption over the previous 7 days.

Objective

The objective of this study is to determine the nature of the relationship (if any) between Vegetable And Cheese Omelet and Time Asleep. Additionally, we attempt to determine the Vegetable And Cheese Omelet values most likely to produce optimal Time Asleep values.

Participant Instructions

Get MyFitnessPal here and use it to record your Vegetable And Cheese Omelet. Once you have a MyFitnessPal account, you can import your data from the Import Data page. This individual's data will automatically be imported and analyzed.
Get Fitbit here and use it to record your Time Asleep. Once you have a Fitbit 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

Vegetable And Cheese Omelet Pre-Processing
Vegetable And Cheese Omelet measurement values below 0 serving were assumed erroneous and removed. Vegetable And Cheese Omelet measurement values above 30 serving were assumed erroneous and removed. It was assumed that any gaps in Vegetable And Cheese Omelet data were unrecorded 0 serving measurement values.
Vegetable And Cheese Omelet Analysis Settings

Time Asleep Pre-Processing
Time Asleep measurement values below 120 minutes were assumed erroneous and removed. Time Asleep measurement values above 7 days were assumed erroneous and removed. No missing data filling value was defined for Time Asleep so any gaps in data were just not analyzed instead of assuming zero values for those times.
Time Asleep Analysis Settings

Predictive Analytics
It was assumed that 0.5 hours would pass before a change in Vegetable And Cheese Omelet would produce an observable change in Time Asleep. It was assumed that Vegetable And Cheese Omelet could produce an observable change in Time Asleep for as much as 7 days after the stimulus event.
Predictive Analysis Settings

Data Quantity
14 raw Vegetable And Cheese Omelet measurements with 16 changes spanning 121 days from 2013-01-12 to 2013-05-13 were used in this analysis. 476 raw Time Asleep measurements with 2063 changes spanning 2521 days from 2012-04-28 to 2019-03-24 were used in this analysis.

Data Sources

Vegetable And Cheese Omelet data was primarily collected using MyFitnessPal. Lose weight with MyFitnessPal, the fastest and easiest-to-use calorie counter for iPhone and iPad. With the largest food database of any iOS calorie counter (over 3,000,000 foods), and amazingly fast food and exercise entry.

Time Asleep data was primarily collected using Fitbit. Fitbit makes activity tracking easy and automatic.

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 Vegetable And Cheese Omelet consumption and Time Asleep

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. 108 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Vegetable And Cheese Omelet consumption 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 Vegetable And Cheese Omelet consumption and Time Asleep 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 Vegetable And Cheese Omelet consumption
Effect Variable Name Time Asleep
Sinn Predictive Coefficient 0.0345
Confidence Level medium
Confidence Interval 59.309253082335
Forward Pearson Correlation Coefficient 0.135
Critical T Value 1.646
Total Vegetable And Cheese Omelet consumption Over Previous 7 days Before ABOVE Average Time Asleep 0.48 serving
Total Vegetable And Cheese Omelet consumption Over Previous 7 days Before BELOW Average Time Asleep 0.36 serving
Duration of Action 7 days
Effect Size weakly positive
Number of Paired Measurements 108
Optimal Pearson Product 0.024205301691842
P Value 0.16295065212766
Statistical Significance 0.1101
Strength of Relationship 59.309253082335
Study Type individual
Analysis Performed At 2019-04-04

Vegetable And Cheese Omelet Statistics

Property Value
Variable Name Vegetable And Cheese Omelet
Aggregation Method SUM
Analysis Performed At 2019-03-27
Duration of Action 7 days
Kurtosis 10.951561754155
Maximum Allowed Value 30 serving
Mean 0.077348 serving
Median 0 serving
Minimum Allowed Value 0 serving
Number of Changes 16
Number of Correlations 56
Number of Measurements 14
Onset Delay 30 minutes
Standard Deviation 0.26788396194189
Unit Serving
UPC 818609010814
Variable ID 1621
Variance 0.071761817065685

Time Asleep Statistics

Property Value
Variable Name Time Asleep
Aggregation Method MEAN
Analysis Performed At 2019-03-25
Duration of Action 7 days
Kurtosis 5.1665253150103
Maximum Allowed Value 7 days
Mean 7 hours
Median 7 hours
Minimum Allowed Value 120 minutes
Number of Changes 2063
Number of Correlations 681
Number of Measurements 476
Onset Delay 0 seconds
Standard Deviation 102.5794571755
Unit Minutes
Variable ID 1447
Variance 10522.54503442

Tracking Vegetable And Cheese Omelet

Get MyFitnessPal here and use it to record your Vegetable And Cheese Omelet. Once you have a MyFitnessPal account, you can import your data from the Import Data page. This individual's data will automatically be imported and analyzed.

Tracking Time Asleep

Get Fitbit here and use it to record your Time Asleep. Once you have a Fitbit 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