bayes_binom_one_postlike_nstage: Single arm, any stage, cut-point calculator us 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 likelihood approach to stopping early for futility or efficacy

Usage

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)

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
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

Value

Returns an object of class trialDesign_binom_one

See Also

bayes_binom_one_postprob_onestage

Examples

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)

Example output

Loading required package: shiny
Loading required package: VGAM
Loading required package: stats4
Loading required package: splines
Loading required package: data.table
Loading required package: plyr
Loading required package: clinfun
Trial design and properties for single arm, single endpoint trial designs

 reviews success failure
       7       3       0
      18       4       3

p0     : 0.1
p1     : 0.3
Alpha  : 0.097
Power  : 0.804
Exp(p0): 12.46
Exp(p1): 13.21
Eta    : 1 0.923
Zeta   : 0.984 0.917 

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