trimByPsToEquipoise: Keep only persons in clinical equipoise

In escott12/CohortMethod: New-User Cohort Method with Large Scale Propensity and Outcome Models

Description

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

Usage

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

Arguments

population	A data frame with at least the three columns described below.
bounds	The upper and lower bound on the preference score for keeping persons.

Details

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.

Value

Returns a tibble with the same three columns as the input.

References

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

Examples

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)

escott12/CohortMethod documentation built on Dec. 20, 2021, 6:37 a.m.