logRankTest: Log-Rank Test for a Single Trial

In simIDM: Simulating Oncology Trials using an Illness-Death Model

Log-Rank Test for a Single Trial

Description

This function evaluates the significance of either PFS or OS endpoints in a trial, based on a pre-specified critical value.

Usage

logRankTest(data, typeEvent = c("PFS", "OS"), critical)

Arguments

data	(data.frame) data frame containing entry and exit times of an illness-death model. See getSimulatedData() for details.
typeEvent	(string) endpoint to be evaluated, possible values are PFS and OS.
critical	(positive number) critical value of the log-rank test.

Value

Logical value indicating log-rank test significance.

Examples

transition1 <- exponential_transition(h01 = 0.06, h02 = 0.3, h12 = 0.3)
transition2 <- exponential_transition(h01 = 0.1, h02 = 0.4, h12 = 0.3)
simTrial <- getClinicalTrials(
  nRep = 1, nPat = c(800, 800), seed = 1234, datType = "1rowPatient",
  transitionByArm = list(transition1, transition2), dropout = list(rate = 0.5, time = 12),
  accrual = list(param = "intensity", value = 7)
)[[1]]
logRankTest(data = simTrial, typeEvent = "OS", critical = 3.4)

simIDM documentation built on May 29, 2024, 6:38 a.m.