getOneClinicalTrial: Simulation of a Single Oncology Clinical Trial

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

Simulation of a Single Oncology Clinical Trial

Description

This function creates a data set with a single simulated oncology clinical trial with one row per transition based on an illness-death model. Studies with an arbitrary number of treatment arms are possible.

Usage

getOneClinicalTrial(
  nPat,
  transitionByArm,
  dropout = list(rate = 0, time = 12),
  accrual = list(param = "time", value = 0)
)

Arguments

nPat	(integer) numbers of patients per treatment arm.
transitionByArm	(list) transition parameters for each treatment group. See exponential_transition(), piecewise_exponential() and weibull_transition() for details.
dropout	dropout (list) specifies drop-out probability. See getSimulatedData() for details. Can be specified either as one list that should be applied to all treatment groups or a separate list for each treatment group.
accrual	accrual (list) specifies accrual intensity. See addStaggeredEntry() for details. Can be specified either as one list that should be applied to all treatment groups or a separate list for each treatment group.

Value

This returns a data frame with one simulated clinical trial and multiple treatment arms. See getSimulatedData() for the explanation of the columns. The column trt contains the treatment indicator. This is a helper function of getClinicalTrials().

Examples

transition1 <- exponential_transition(h01 = 1.2, h02 = 1.5, h12 = 1.6)
transition2 <- exponential_transition(h01 = 1, h02 = 1.3, h12 = 1.7)
transition3 <- exponential_transition(h01 = 1.1, h02 = 1, h12 = 1.5)
getOneClinicalTrial(
  nPat = c(30, 20, 30), transitionByArm = list(transition1, transition2, transition3),
  dropout = list(rate = 0, time = 12),
  accrual = list(param = "time", value = 0)
)

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