genpwedata: Generating function for Piece-wise Exponential Data.

In BayesCTDesign: Two Arm Bayesian Clinical Trial Design with and Without Historical Control Data

Description

genpwedata() function used mainly internally by pwetrialsimulator() function to generate data for a two-arm clinical trial, experimental and control groups. Can be used to generate random trial data.

Usage

genpwedata(sample_size, lambda_vec, hazard_ratio, time_vec, censor_value)

Arguments

sample_size	Number of subjects per arm.
lambda_vec	Set of lambdas passed to eha::rpch() through the levels parameter. Used only in control arm.
hazard_ratio	Desired Hazard Ratio between experimental and control groups.
time_vec	Set of cutpoints passed to eha::rpch() through the cuts parameter.
censor_value	Value at which time-to-event data are right censored.

Value

genpwedata() returns a data frame with columns: 'id', 'treatment', 'event_time', 'status', and 'indicator'.

Examples

nvalHC <- 60
time.vec <- c(0.3,0.9,1.5,2.1,2.4)
lambdaHC.vec <- c(0.19,0.35,0.56,0.47,0.38,0.34)
censor.value <- 3

SampleHistData <- genpwedata(nvalHC, lambdaHC.vec, 1.0, time.vec, censor.value)
SampleHistData

BayesCTDesign documentation built on Dec. 11, 2021, 9:37 a.m.