fitPsModelOverall: Calculate propensity scores for a specific outcome

In OHDSI/RiskStratifiedEstimation: Risk Stratified Effect Estimation

Calculate propensity scores for a specific outcome

Description

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.

OHDSI/RiskStratifiedEstimation documentation built on March 13, 2023, 8:16 a.m.