loglik2.repar0: Computes the constrained survival log-likelihood
In sp23design: Design and Simulation of Seamless Phase II-III Clinical Trials

loglik2.repar0

R Documentation

Computes the constrained survival log-likelihood

Description

Computes the constrained survival log-likelihood

Usage

loglik2.repar0(xi, interimData, pi0, pi1, eta.hyp = 0)

Arguments

`xi`	the three-element vector of (a=e^α, b=e^β, c=e^γ)
`interimData`	the interim data
`pi0`	the value π_0
`pi1`	the value π_1
`eta.hyp`	The hypothesised difference d in the alternative hypothesis

Details

This uses the reparametrization above in terms of (a,b,c) rather than (α, β, γ )

Value

The constrained survival log-likelihood

Author(s)

Mei-Chiung Shih, Balasubramanian Narasimhan, Pei He

References

Lai, Tze Leung and Lavori, Philip W. and Shih, Mei-Chiung. Sequential Design of Phase II-III Cancer Trials, Statistics in Medicine, Volume 31, issue 18, p.1944-1960, 2012.

sp23design documentation built on April 19, 2022, 5:08 p.m.