stratifyByPsAndCovariates: Stratify persons by propensity score and other covariates

In OHDSI/CohortMethod: New-User Cohort Method with Large Scale Propensity and Outcome Models

Stratify persons by propensity score and other covariates

Description

Use the provided propensity scores and covariates to stratify persons.

Usage

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

Arguments

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.

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

OHDSI/CohortMethod documentation built on Oct. 9, 2024, 12:50 p.m.