boot_cea: Bootstrap resampling of CEA estimates

In uo-cmor/cea: Functions for Trial-Based Cost-Effectiveness Analysis

Description

Generate R bootstrap replicates of mean incremental QALYs and Costs from a fitted CEA regression model, using the boot package.

Usage

boot_cea(
  x,
  R,
  estimand = "ATE",
  sim = "parametric",
  weights = NULL,
  simple = FALSE,
  parallel = c("no", "multicore", "snow"),
  ncpus = getOption("cea.boot.ncpus", 1L),
  cl = NULL
)

Arguments

x	cea_estimate object. The fitted CEA regression model.
R	The number of bootstrap replicates.
estimand	String scalar. Whether to calculate the average treatment effect (ATE), average treatment effect on the treated (ATT), or average treatment effect on the controls (ATC). Only used for non-linear models.
sim	A character vector indicating the type of simulation required. Possible values are "ordinary" (the default), "parametric", "balanced", or "permutation".
weights, simple, parallel, ncpus, cl	Passed to \link[boot]{boot}. For parallel and ncpus, default values are taken from getOption(cea.boot.parallel) and getOption(cea.boot.ncpus) instead of their boot-package equivalents.

uo-cmor/cea documentation built on Dec. 23, 2021, 2:01 p.m.