bayes_binom_one_postprob_nstage: Single arm, any stage, cut-point calculator using posterior...

In EurosarcBayes: Bayesian Single Arm Sample Size Calculation Software

Description

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

Usage

bayes_binom_one_postprob_nstage(reviews, eta, zeta, p0, p1, 
  prior.a=0, prior.b=0, h0=p0, h1=p1, round=TRUE, warn=TRUE)

Arguments

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
h0,h1	Optional values to be used if the properties of the design should be based on hypotheses which do not use the last values of p0 and p1.
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

Value

Returns an object of class trialDesign_binom_one

See Also

bayes_binom_one_postprob_onestage

Examples

reviews=c(7,18)
eta=c(0.9,0.9)
zeta=c(0.9,0.9)
p0=0.1
p1=0.3
prior.a=0
prior.b=0
bayes_binom_one_postprob_nstage(reviews,eta,zeta,p0,p1,prior.a,
prior.b)

EurosarcBayes documentation built on May 2, 2019, 9:20 a.m.