trimByPsToEquipoise uses the preference score to trim subjects that are not in clinical equipoise

trimByPsToEquipoise(population, bounds = c(0.3, 0.7))



A data frame with at least the three columns described below


The upper and lower bound on the preference score for keeping persons


Returns a date frame with the same three columns as the input.


The data frame should have the following three columns:

rowId(numeric)A unique identifier for each row (e.g. the person ID)
treatment(integer)Column indicating whether the person is in the target (1) or comparator
(0) group
propensityScore(numeric)Propensity score


Walker AM, Patrick AR, Lauer MS, Hornbrook MC, Marin MG, Platt R, Roger VL, Stang P, and Schneeweiss S. (2013) A tool for assessing the feasibility of comparative effectiveness research, Comparative Effective Research, 3, 11-20


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