alloc.def4: by maximizing conditional assurance probability by Definition...

In carolinewei/apsurvival: Total sample size and its allocation for the MRCT

Description

by maximizing conditional assurance probability by Definition 4 using simulation when regional treatment effects are sightly different.

Usage

alloc.def4(r0, alpha = 0.05, beta = 0.2, lamda, lamda_cen, L, s, u,
  eps = 0.1, grid = 0.1, n = 1e+05)

Arguments

r0	True overall log hazard ratio
alpha	The risk of rejecting the null hypothesis H0:r0>=0 when it is really true
beta	The risk of failing to reject the null hypothesis H0:r0>=0 when it is really false
lamda	The event hazard rate for placebo
lamda_cen	The discontinuation hazard rate
L	The whole study duration of fixed study duration design
s	Number of regions participating in the MRCT
u	A vector presents ratios of true regional log hazard ratios to true overall log hazard ratio r=u*r0
eps	Significance level of not rejecting H0 in Definition 4
grid	Grid interval of the grid research
n	Simulation times

Value

A list

Examples

set.seed(123)
Alloc4 <- alloc.def4(r0=log(0.7), alpha=0.05, beta=0.2, lamda=1, lamda_cen=1, L=2,
s=3, u=c(1.1,1,0.9), eps=0.1, grid=0.1, n=1000)

carolinewei/apsurvival documentation built on Nov. 4, 2019, 8:44 a.m.