This individual's Body Weight is generally highest after a daily total of 2 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 Body Weight. (R = 0.576)
Typical values for Body Weight 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 Body Weight 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 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 Body Weight changes over time.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Body Weight on each day of the week.
This chart shows the typical value recorded for Body Weight for each month of the year.

Abstract

This individual's Body Weight is generally 3% 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 high degree of confidence (p=0.001, 95% CI -0.868 to 2.02) that Vegetable And Cheese Omelet has a moderately positive predictive relationship (R=0.58) with Body Weight. The highest quartile of Body Weight measurements were observed following an average 0.82 serving Vegetable And Cheese Omelet per day. The lowest quartile of Body Weight measurements were observed following an average 0.1505376344086 serving Vegetable And Cheese Omelet per day. Body Weight is generally 1% lower than normal after a total of 0.1505376344086 serving of Vegetable And Cheese Omelet consumption over the previous 7 days. Body Weight is generally 3% higher after a total of 0.82 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 Body Weight. Additionally, we attempt to determine the Vegetable And Cheese Omelet values most likely to produce optimal Body Weight 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 Withings here and use it to record your Body Weight. Once you have a Withings 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 40 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

Body Weight Pre-Processing
Body Weight measurement values below 0 pounds were assumed erroneous and removed. Body Weight measurement values above 1000 pounds were assumed erroneous and removed. No missing data filling value was defined for Body Weight so any gaps in data were just not analyzed instead of assuming zero values for those times.
Body Weight 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 Body Weight. It was assumed that Vegetable And Cheese Omelet could produce an observable change in Body Weight 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. 4417 raw Body Weight measurements with 1699 changes spanning 2662 days from 2012-04-18 to 2019-08-02 were used in this analysis.

Statistical Significance

Using a two-tailed t-test with alpha = 0.05, it was determined that the change in Body Weight is statistically significant at 95% confidence interval. After treatment, a 4% increase (6.3414916899026 pounds) from the mean baseline 158.01778866001 pounds was observed. The relative standard deviation at baseline was 3%. The observed change was 1.3332566044153 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

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.

Body Weight data was primarily collected using Withings. Withings creates smart products and apps to take care of yourself and your loved ones in a new and easy way. Discover the Withings Pulse, Wi-Fi Body Scale, and Blood Pressure Monitor.

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 moderately positive relationship between Vegetable And Cheese Omelet consumption and Body Weight

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. 195 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 Body Weight 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 Body Weight
Sinn Predictive Coefficient 0.071
Confidence Level high
Confidence Interval 1.4444965344693
Forward Pearson Predictive Coefficient 0.576
Critical T Value 1.646
Total Vegetable And Cheese Omelet consumption Over Previous 7 days Before ABOVE Average Body Weight 0.824 serving
Total Vegetable And Cheese Omelet consumption Over Previous 7 days Before BELOW Average Body Weight 0.151 serving
Duration of Action 7 days
Effect Size moderately positive
Number of Paired Measurements 195
Optimal Pearson Product 0.48340936637323
P Value 0.001
Statistical Significance 0.18089764031639
Strength of Relationship 1.4444965344693
Study Type individual
Analysis Performed At 2019-08-20
Number of Pairs 195
Number of Raw Predictor Measurements ( Including Tags, Joins, and Children) 14
Baseline Relative Standard Deviation of Outcome Measurements 3
Experiment Duration (days) 194
Number of Raw Outcome Measurements 4417
Z Score 1.3332566044153
Last Analysis 2019-08-20
Experiment Began 2012-12-13 18:00:00
Experiment Ended 2013-06-26 17:30:00
P Value 0.001
Predictor Category Foods
Duration of Action (h) 168
Onset Delay (h) 0.5
Significance 0.18089764031639
Outcome Relative Standard Deviation at Baseline 3
Outcome Standard Deviation at Baseline 4.7563924820636lb
Outcome Mean at Baseline 158.01778866001lb
Average Followup Change From Baseline 4&
Average Absolute Followup Change From Baseline 164.35928034992lb
Z- Score 1.3332566044153
Average Predictor Treatment Value 1.63serving over 7 days

Vegetable And Cheese Omelet Statistics

Property Value
Variable Name Vegetable And Cheese Omelet
Aggregation Method SUM
Analysis Performed At 2019-08-08
Duration of Action 14 days
Kurtosis 10.951561754155
Maximum Allowed Value 40 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

Body Weight Statistics

Property Value
Variable Name Body Weight
Aggregation Method MEAN
Analysis Performed At 2019-08-18
Duration of Action 7 days
Kurtosis 2.5214093424243
Maximum Allowed Value 1000 pounds
Mean 161.96 pounds
Median 161.64211395295 pounds
Minimum Allowed Value 0 pounds
Number of Changes 1699
Number of Correlations 1212
Number of Measurements 4417
Onset Delay 0 seconds
Standard Deviation 5.5853948995709
Unit Pounds
UPC 875011003902
Variable ID 1486
Variance 31.196636184152

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 Body Weight

Get Withings here and use it to record your Body Weight. Once you have a Withings 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