truncateIptw: Truncate IPTW values

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

Truncate IPTW values

Description

Set the inverse probability of treatment weights (IPTW) to the user-specified threshold if it exceeds said threshold.

Usage

truncateIptw(population, truncateIptwArgs = createTruncateIptwArgs())

Arguments

population	A data frame with at least the two columns described in the details.
truncateIptwArgs	An object of type TruncateIptwArgs as created by the createTruncateIptwArgs() function.

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 <- truncateIptw(data)

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