Truncate IPTW values

Source: R/PsFunctions.R

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

truncateIptw(population, maxWeight = 10)

Arguments

population

A data frame with at least the two columns described in the details

maxWeight

The maximum allowed IPTW.

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 211 (10.6%) IPTW values