Computes the constrained survival log-likelihood
loglik2.repar0(xi, interimData, pi0, pi1, eta.hyp = 0)the three-element vector of \((a=e^\alpha, b=e^\beta, c=e^\gamma)\)
the interim data
the value \(\pi_0\)
the value \(\pi_1\)
The hypothesised difference \(d\) in the alternative hypothesis
The constrained survival log-likelihood
This uses the reparametrization above in terms of \((a,b,c)\) rather than \((\alpha, \beta, \gamma )\)
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.