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Based on data from 2 participants, Inflammatory Pain is generally lowest after a daily total of 75 milligrams of Adderall Xr intake over the previous 7 days.
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People with higher Adderall Xr intake usually have lower Inflammatory Pain
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Adderall Xr on each day of the week.
This chart shows the typical value recorded for Adderall Xr for each month of the year.
Each column represents the number of days this value occurred.
This chart shows the typical value recorded for Inflammatory Pain on each day of the week.
This chart shows the typical value recorded for Inflammatory Pain for each month of the year.

Abstract

Aggregated data from 2 study participants suggests with a high degree of confidence (p=3.6219169062153E-7, 95% CI -0.828 to -0.513) that Adderall Xr has a strongly negative predictive relationship (R=-0.67) with Inflammatory Pain. The highest quartile of Inflammatory Pain measurements were observed following an average 7.54 milligrams Adderall Xr per day. The lowest quartile of Inflammatory Pain measurements were observed following an average 41.5 mg Adderall Xr per day.

Objective

The objective of this study is to determine the nature of the relationship (if any) between Adderall Xr and Inflammatory Pain. Additionally, we attempt to determine the Adderall Xr values most likely to produce optimal Inflammatory Pain values.

Participant Instructions

Record your Adderall Xr daily in the reminder inbox or using the interactive web or mobile notifications.
Record your Inflammatory Pain 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

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

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

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

Data Sources

Adderall Xr 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.

Inflammatory Pain 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 strongly negative relationship between Adderall Xr intake and Inflammatory Pain

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. 70 paired data points were used in this analysis. Assuming that the relationship is merely coincidental, as the participant independently modifies their Adderall Xr 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 Adderall Xr intake and Inflammatory Pain 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 Adderall Xr intake
Effect Variable Name Inflammatory Pain
Sinn Predictive Coefficient 0.061157326176884
Confidence Level high
Confidence Interval 0.15738905830972
Forward Pearson Correlation Coefficient -0.6702
Critical T Value 1.6655
Total Adderall Xr intake Over Previous 7 days Before ABOVE Average Inflammatory Pain 7.54 milligrams
Total Adderall Xr intake Over Previous 7 days Before BELOW Average Inflammatory Pain 41.5 milligrams
Duration of Action 7 days
Effect Size strongly negative
Number of Paired Measurements 70
Optimal Pearson Product 1.0740922789891
P Value 3.6219169062153E-7
Statistical Significance 0.2681500017643
Strength of Relationship 0.15738905830972
Study Type population
Analysis Performed At 2019-04-04
Number of Participants 2

Adderall Xr Statistics

Property Value
Variable Name Adderall Xr
Aggregation Method SUM
Analysis Performed At 2019-03-30
Duration of Action 7 days
Kurtosis 46.43264666906
Mean 15.525748636364 milligrams
Median 12.727272727273 milligrams
Minimum Allowed Value 0 milligrams
Number of Correlations 185
Number of Measurements 2211
Onset Delay 30 minutes
Standard Deviation 35.22293218902
Unit Milligrams
UPC 852659365500
Variable ID 1256
Variance 11058.30293098

Inflammatory Pain Statistics

Property Value
Variable Name Inflammatory Pain
Aggregation Method MEAN
Analysis Performed At 2018-12-22
Duration of Action 7 days
Kurtosis 2.5167595823337
Maximum Allowed Value 5 out of 5
Mean 2.386725 out of 5
Median 2.35 out of 5
Minimum Allowed Value 1 out of 5
Number of Correlations 137
Number of Measurements 195
Onset Delay 0 seconds
Standard Deviation 0.58153138134718
Unit 1 to 5 Rating
UPC 753970618156
Variable ID 1340
Variance 0.34406858138811


Tracking Adderall Xr

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

Tracking Inflammatory Pain

Record your Inflammatory Pain 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