Quantitative Variable Distributions: Multi Site, Exploratory, Longitudinal Analysis
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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).
Data Requirements
Probe
Clinical Assessment
Access Package
# install.packages("devtools")
devtools::install_github('ssdqa/https://github.com/ssdqa/quantvariabledistribution')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 |
Affiliation(s)
Funder(s)
This research was made possible through the generous support of Patient-Centered Outcomes Research Institute. The statements presented in this work are solely the responsibility of the author(s) and do not necessarily represent the views of PCORI, its Board of Governors, or its Methodology Committee.
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Except where otherwised noted, this item's license is described as a CC-BY Attribution 4.0 license.
Cite this Data Quality Check
PEDSnet Data Coordinating Center., Wieand, K., & Dickinson, K. (2025, July). Quantitative Variable Distributions: Multi Site, Exploratory, Longitudinal Analysis. [D Q Check]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-470