Quantitative Variable Distributions: Multi Site, Anomaly Detection, Cross-Sectional Analysis

dc.contributorPatient-Centered Outcomes Research Institute
dc.contributor.authorPEDSnet
dc.contributor.authorWieand, Kaleigh
dc.contributor.authorDickinson, Kimberley
dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2025-08-05T18:11:36Z
dc.date.created2025-07-30
dc.description.abstractThis 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).
dc.description.abstract#### How to Access This Check 1. You may access the module's R package in [GitHub](https://github.com/ssdqa/https://github.com/ssdqa/quantvariabledistribution).<br> Or, run in R ```{r} install_github('ssdqa/https://github.com/ssdqa/quantvariabledistribution') ``` 2. Using the provided vignettes on GitHub or help in R, follow parameter input instructions for "Multi Site", "Anomaly Detection", "Cross-Sectional" requirements.
dc.identifier.urihttps://hdl.handle.net/20.500.14642/1171
dc.publisherPEDSnet
dc.relation.urihttps://github.com/ssdqa/quantvariabledistribution
dc.rightsa CC-BY Attribution 4.0 License.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0
dc.subjectPlausibility
dc.subjectRadial Bar Graph
dc.subjectEvent-Level Analysis
dc.subjectClinical Data Distributions
dc.subjectClinical Consistency
dc.subjectSelection Error or Bias Detection
dc.subjectInformation Density
dc.titleQuantitative Variable Distributions: Multi Site, Anomaly Detection, Cross-Sectional Analysis
dspace.entity.typeDQCheck
local.description.rawThis check produces a raw data output containing 4 columns: <br> |Column |Data Type|Definition | |----------------|---------|--------------------------------------------------------------------------------------------| |`site` |character|the name of the site being targeted OR "combined" if multiple sites were provided | |`value_type`|character|the type of value being measured| |`kl`|numeric|the Kullback-Leibler divergence value between the site's value distrbution and the overall, all-site distribution| |`output_function`|character|a string indicating the type of visualization that should be generated by qvd_output| {.dqcheck-table}
local.description.vizThis check outputs a radial lolipop chart displaying the Kullback-Liebler divergence value at each site for each value type included in the analysis. This represents how different the distribution of values at the site is from the overall distribution across all sites.
local.dqcheck.requirementcohort
local.dqcheck.requirementqvd_value_file
local.dqcheck.requirementomop_or_pcornet
local.dqcheck.requirementmulti_or_single_site
local.dqcheck.requirementanomaly_or_exploratory
local.dqcheck.requirementage_groups
local.dqcheck.requirementkl_log_base
local.subject.flatPlausibility
local.subject.flatRadial Bar Graph
local.subject.flatEvent-Level Analysis
local.subject.flatClinical Data Distributions
local.subject.flatClinical Consistency
local.subject.flatSelection Error or Bias Detection
local.subject.flatInformation Density

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