PDXpower (version 1.0.5)

PowFrailty: A function to obtain a power table with the combination of various number of PDX lines and number of individuals per PDX lines per treatment based on a prior knowledge of median survival

Description

A function to obtain a power table with the combination of various number of PDX lines and number of individuals per PDX lines per treatment based on a prior knowledge of median survival

Usage

PowFrailty(
  ctl.med.surv = 2.4,
  tx.med.surv = 4.8,
  nu = 1,
  tau2 = 0.1,
  n = NULL,
  m = NULL,
  sim = 1000,
  censor = FALSE,
  Ct = 5,
  two.sided = TRUE,
  alpha = 0.05,
  ncores = NULL
)

Value

Object of PowFrailty with elements

PowTab

the estimates of statistical power across n and m.

Arguments

ctl.med.surv

a numeric value of the hypothesized medial survival in the control arm. Default is 2.4.

tx.med.surv

a numeric value of the hypothesized medial survival in the treatment arm. Default is 4.8.

nu

shape parameter of Weibull distribution for the baseline hazard. Default is 1, i.e., constant failure rate.

tau2

variance of PDX line specific random effect. Default is 0.1.

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.

sim

Number of Monte Carlo samples to be generated. Default is 1000.

censor

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

Ct

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

two.sided

A logical value to indicate if a two-sided hypothesis testing is conducted. Default is TRUE.

alpha

significance level. Default is 0.05.

ncores

number of cores for parallel computation.

Examples

# \donttest{
require(PDXpower)
PowTab <- PowFrailty(ctl.med.surv = 2.4,
tx.med.surv = 7.2, nu = 1, tau2 = 0.1, sim = 20,
censor = TRUE, Ct = 12, n = 3, m = 4, ncores = 1)
plotpower(PowTab, ylim = c(0, 1))
# }