getDemographicSummary: Get a demographic summary

In OHDSI/PatientLevelPrediction: Develop Clinical Prediction Models Using the Common Data Model

Get a demographic summary

Description

Get a demographic summary

Usage

getDemographicSummary(prediction, predictionType, typeColumn = "evaluation")

Arguments

prediction	A prediction object
predictionType	The type of prediction (binary or survival)
typeColumn	A column that is used to stratify the results

Details

Generates a data.frame with a prediction summary per each 5 year age group and gender group

Value

A dataframe with the demographic summary

Examples

 
# simulate data
data("simulationProfile")
plpData <- simulatePlpData(simulationProfile, n=500)
# create study population, split into train/test and preprocess with default settings
population <- createStudyPopulation(plpData, outcomeId = 3)
data <- splitData(plpData, population, createDefaultSplitSetting())
data$Train$covariateData <- preprocessData(data$Train$covariateData)
saveLoc <- file.path(tempdir(), "demographicSummary")
# fit a lasso logistic regression model using the training data
plpModel <- fitPlp(data$Train, modelSettings=setLassoLogisticRegression(seed=42),
                   analysisId=1, analysisPath=saveLoc)
demographicSummary <- getDemographicSummary(plpModel$prediction, 
                                            "binary", 
                                            typeColumn = "evaluationType")
# show the demographic summary dataframe
str(demographicSummary)
# clean up
unlink(saveLoc, recursive = TRUE)

OHDSI/PatientLevelPrediction documentation built on Feb. 14, 2025, 9:44 a.m.