bayes_binom_one_postlike_nstage: Single arm, any stage, cut-point calculator us posterior...
In finite2/Eurosarc_bayes: Bayesian Single Arm Sample Size Calculation Software

Description Usage Arguments Value See Also Examples

Generate cut-points given interim analyses at set numbers of patients for Bayesian posterior likelihood approach to stopping early for futility or efficacy

1 2	bayes_binom_one_postlike_nstage(reviews, prob.success, prob.failure, eta, zeta, p0, p1, prior.a=1e-6, prior.b=1e-6, round=TRUE, warn=TRUE)

`reviews`	Vector of sample sizes to perform analysis at
`p0`	Probability of success under the null hypothesis
`p1`	Probability of success under the alternative hypothesis
`eta`	The smallest probability that p is less than p1 which is allowed to stop for futility
`zeta`	The smallest probability that p is greater than p0 which is allowed to stop for efficacy
`prob.success,prob.failure`	The probability of success and failure required to stop early at interim analysis
`prior.a, prior.b`	The prior parameters for the beta prior distribution
`round`	Optionally round the probability outputs to 3 significant figures
`warn`	Turn off warnings for designs which are not optimal

Returns an object of class trialDesign_binom_one

bayes_binom_one_postprob_onestage

reviews=c(7,18)
prob.success=c(0.9)
prob.failure=c(0.9)
eta=0.9
zeta=0.9
p0=0.1
p1=0.3
prior.a=1e-6
prior.b=1e-6
bayes_binom_one_postlike_nstage(reviews,prob.success,prob.failure,
eta,zeta,p0,p1,prior.a,prior.b)