Use the provided propensity scores and covariates to stratify persons.
stratifyByPsAndCovariates( population, numberOfStrata = 5, baseSelection = "all", cohortMethodData, covariateIds )
A data frame with the three columns described below
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.
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".
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.