Stratify persons by propensity score and other covariates — stratifyByPsAndCovariates • CohortMethod

Use the provided propensity scores and covariates to stratify persons.

Usage

stratifyByPsAndCovariates(
  population,
  numberOfStrata = 5,
  baseSelection = "all",
  cohortMethodData,
  covariateIds
)

population: A data frame with the three columns described below
numberOfStrata: Into how many strata should the propensity score be divided? The boundaries of the strata are automatically defined to contain equal numbers of target persons.
baseSelection: What is the base selection of subjects where the strata bounds are to be determined? Strata are defined as equally-sized strata inside this selection. Possible values are "all", "target", and "comparator".
cohortMethodData: An object of type CohortMethodData as generated using getDbCohortMethodData().
covariateIds: One or more covariate IDs in the cohortMethodData object on which subjects should also be stratified.

Returns a date frame with the same columns as the input population plus one extra column: stratumId.

The data frame should have the following three columns:

rowId (numeric): A unique identifier for each row (e.g. the person ID).
treatment (integer): Column indicating whether the person is in the target (1) or comparator (0) group.
propensityScore (numeric): Propensity score.