Remove subjects having a weight higher than the user-specified threshold.
trimByIptw(population, maxWeight = 10)
Returns a tibble with the same columns as the input.
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.
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)
#> Population size after trimming is 1771