stratifyByPs: Stratify persons by propensity score

In CohortMethod: Comparative Cohort Method with Large Scale Propensity and Outcome Models

Stratify persons by propensity score

Description

Use the provided propensity scores to stratify persons. Additional stratification variables for stratifications can also be used.

Usage

stratifyByPs(
  population,
  stratifyByPsArgs = createStratifyByPsArgs(),
  cohortMethodData = NULL
)

Arguments

population	A data frame with the three columns described below
stratifyByPsArgs	An object of type StratifyByPsArgs as created by the createStratifyByPsArgs() function.
cohortMethodData	An object of type CohortMethodData as generated using getDbCohortMethodData(). Needed when additionally matching on covariate IDs.

Details

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.

Value

Returns a tibble with the same columns as the input data plus one extra column: stratumId.

Examples

rowId <- 1:200
treatment <- rep(0:1, each = 100)
propensityScore <- c(runif(100, min = 0, max = 1), runif(100, min = 0, max = 1))
data <- data.frame(rowId = rowId, treatment = treatment, propensityScore = propensityScore)
result <- stratifyByPs(data, createStratifyByPsArgs(numberOfStrata = 5))

CohortMethod documentation built on March 21, 2026, 5:06 p.m.