Quantitative Variable Distributions: Multi Site, Exploratory, Longitudinal Analysis

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Publisher

PEDSnet

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

  1. You may access the module’s R package in GitHub.
    Or, run in R
install_github('ssdqa/https://github.com/ssdqa/quantvariabledistribution')
  1. Using the provided vignettes on GitHub or help in R, follow parameter input instructions for “Multi 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. Each line represents the distribution of the statistic at each site included in the analysis 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

Funder(s)

This research was made possible through the generous support of the Patient-Centered Outcomes Research Institute .

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Except where otherwised noted, this item's license is described as a CC-BY Attribution 4.0 license.