Calculate propensity scores for a specific outcome — fitPsModelOverall • 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

fitPsModelOverall(
  outcomeId,
  initialPopulation,
  getDataSettings,
  populationSettings,
  analysisSettings,
  runCmSettings,
  isNegativeControl = FALSE
)

Arguments

outcomeId: The outcome of interest for which the risk stratification is performed.
initialPopulation: The reference population object, usually defined by joining the cohorts fo the plpData and cohortMethodData objects.
getDataSettings: An R object of type getDataSettings created using the function createGetDataSettings.
populationSettings: An R object of type covariateSettings created using the function createPopulationSettings
analysisSettings: An R object of type analysisSettings created using the function createAnalysisSettings.
runCmSettings: A parameter object of type runCmSettingsArgs defined using the function createRunCmSettingsArgs
isNegativeControl: Is the analysis performed for a negative control?

Value

NULL. The results are all saved.