trimByIptw: Remove subjects with a high IPTW

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

Remove subjects with a high IPTW

Description

Remove subjects having a weight higher than the user-specified threshold.

Usage

trimByIptw(population, maxWeight = 10)

Arguments

population	A data frame with at least the two columns described in the details
maxWeight	The maximum allowed IPTW.

Details

The data frame should have the following two columns:

• treatment (integer): Column indicating whether the person is in the target (1) or comparator (0) group.

• iptw (numeric): Propensity score.

Value

Returns a tibble with the same columns as the input.

Examples

rowId <- 1:2000
treatment <- rep(0:1, each = 1000)
iptw <- 1 / c(runif(1000, min = 0, max = 1), runif(1000, min = 0, max = 1))
data <- data.frame(rowId = rowId, treatment = treatment, iptw = iptw)
result <- trimByIptw(data)

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