Function reference

All functions

absoluteRiskReduction()

Absolute risk reduction

computeCovariateBalance()

Compute covariate balance

computeIncidence()

Compute incidence

computeIncidenceOverall()

Compute risk stratified incidence

computeRseeCovariateBalance()

Compute risk stratified covariate balance

computeRseeIncidence()

Compute risk stratified incidence for all analyses

createAnalysisSettings()

Create a parameter defining the performed risk stratified analysis

createCreateIPWArgs()

Create a parameter object for the function createIPW Create an object defining the parameter values.

createCreatePsArgs()

Create a parameter object for the function createPs

createDatabaseSettings()

Create parameter object for database to be reached

createGetCmDataArgs()

Create a parameter object for the function getDbCohortMethodData

createGetCovariateSettings()

Create the parameter object for extracting the covariates Contains the arguments for the extraction of both the covariates related to the prediction step and the estimation step.

createGetDataSettings()

Create parameter object for extracting the data

createGetPlpDataArgs()

Create a parameter object for the function getPlpData

createIPW()

Creates Inverse Probability Weights

createMatchOnPsArgs()

Create a parameter object for the function matchOnPs

createOverallResults()

Combines the overall results

createPopulationSettings()

Create parameter object for defining the analysis populations Contains the settings for defining both the populationPlp and the populationCm objects.

createRunCmAnalysesArgs()

Create a parameter object for defining the estimation analyses.

createRunCmSettingsArgs()

Create a parameter object for running the estimation step

createRunExistingPlpSettingsArgs()

Create prediction settings for an existing model

createRunPlpAnalysesArgs()

Create a parameter object for the function runPlp

createRunPlpSettingsArgs()

Create run settings for prediction

createRunSettings()

Create a settings object for running the analyses Create the settings for running the analyses. The input consists of two parts: 1) the settings for running the prediction algorithms and 2) the settings for estimating treatment effects within strata of predicted risk.

createStratifyByPsArgs()

Create a parameter object for the function stratifyByPs

estimateTreatmentEffect()

Estimate treatment effects within risk strata

fitOutcomeModels()

Fit outcome models

fitOutcomeModelsOverall()

Fit overall outcome model

fitPsModel()

Calculate propensity scores for a specific outcome

fitPsModelOverall()

Calculate propensity scores for a specific outcome

fitPsModelSwitch()

Fits switched propensity score models

outcomeModelWeighted()

Fits a weighted cox regression model

prepareForPlpData()

Prepares for the running the PatientLevelPrediction package

prepareMultipleRseeViewer()

Prepare shiny viewer

relativeRiskReduction()

Relative risk reduction

rseeViewer()

Risk stratified effect estimation viewer

runRiskStratifiedEstimation()

Runs a risk stratified analysis

stratifiedKaplanMeier()

Calculate stratified Kaplan-Meier estimates