Calculate propensity scores for a specific outcome — fitPsModel • RiskStratifiedEstimation

Fits a large-scale regularized regression model to estimate propensity scores within predicted risk strata. Designed to be applied in a parallelized analysis.

Usage

fitPsModel(
  outcomeId,
  initialPopulation,
  runSettings,
  getDataSettings,
  populationSettings,
  analysisSettings
)

Arguments

outcomeId: The outcome of interest for which the esitmation is performed. That is the outcome for which risk stratification is performed.
initialPopulation: The initial population on the subset of which the propensity scores will be estimated.
runSettings: An R object of type runSettings created using the function createRunSettings.
getDataSettings: An R object of type getDataSettings created using the function createGetDataSettings.
populationSettings: An R object of type populationSettings created using the function createPopulationSettings.
analysisSettings: An R object of type analysisSettings created using the function createAnalysisSettings.

Value

NULL. The results are all saved.