Truncate IPTW values — truncateIptw • CohortMethod

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.

Value

Returns a tibble with the same columns as the input.

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.

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)
#> Truncating 192 (9.6%) IPTW values