PDXpower (version 1.0.5)

SimPDXdata: A function to calculate the power under pre-specified effect size, variance, and correlation using Monte Carlo sampling scheme by fitting ANOVA fixed effects model, ANOVA random effects model, Cox model, and frailty model.

Description

A function to calculate the power under pre-specified effect size, variance, and correlation using Monte Carlo sampling scheme

Usage

SimPDXdata(
  seed = 1000,
  n,
  m,
  beta,
  tau2,
  lambda = 0.03,
  nu = 2,
  sigma2 = 1,
  distr = c("Weibull", "normal"),
  two.sided = TRUE,
  Ct = 5,
  censor = TRUE
)

Value

Object of SimPDXdata with elements

Data

a simulated data.

Arguments

seed

an integer random seed number.

n

an integer number to specify the number of PDX lines.

m

an integer number to specify the number of individuals per PDX line per treatment.

beta

Treatment effect for the treated group.

tau2

Error variance of random effect.

lambda

Scale parameter of Weibull distribution for the baseline hazard.

nu

Shape parameter of Weibull distribution for the baseline hazard.

sigma2

Error variance of log survival time for both treatment groups.

distr

distributional assumption of survival time.

two.sided

a logical value to indicate if a two-sided test is performed. Default is TRUE.

Ct

a fixed time point when a study is designed to end for generating type 1 censoring data.

censor

logical value of whether a censoring distribution is considered in a data generation setting. Default is TRUE.

Examples

require(PDXpower)
data <- SimPDXdata(n = 5, m = 3, beta = 0.8, sigma2 = 1, tau2 = 0.1,
                   distr = "normal", censor = FALSE)