Quantitative Variable Distributions: Single Site, Exploratory, Longitudinal Analysis
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Abstract
This check provides raw data and visualizations to aid a user in evaluating whether the distribution of quantitative variables aligns with clinical expectations. It can summarize the distribution of a quantitative variable (like lab result values) or patient counts (like number of patients with an outpatient visit).
How to Access This Check
- You may access the module’s R package in GitHub.
Or, run in R
install_github('ssdqa/https://github.com/ssdqa/quantvariabledistribution')
- Using the provided vignettes on GitHub or help in R, follow parameter input instructions for “Single Site”, “Exploratory”, “Longitudinal” requirements.
Check Output
Visualization Output
This check outputs a line graph displaying the user-specified summary statistic of each value type across the time span.
Raw Output
This check produces a raw data output containing 12 columns:
| Column | Data Type | Definition |
|---|---|---|
site |
character | the name of the site being targeted OR “combined” if multiple sites were provided |
time_start |
date | the start of the time period being examined |
time_increment |
character | the length of each time period |
value_col |
numeric | the quantitative value of the variable of interest |
value_freq |
numeric | the frequency with which the quantitative value occurs |
value_type |
character | the type of value being measured |
mean_val |
numeric | the mean of value_col |
median_val |
numeric | the median of value_col |
sd_val |
numeric | the standard deviation of value_col |
q1_val |
numeric | the first quantile of value_col |
q3_val |
numeric | the third quantile of value_col |
output_function |
character | a string indicating the type of visualization that should be generated by qvd_output |
Affiliation(s)
Funder(s)
This research was made possible through the generous support of the Patient-Centered Outcomes Research Institute .
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