freq_binom_one_onestage: Bayesian single-arm single-endpoint minimum sample size

In finite2/Eurosarc_bayes: Bayesian Single Arm Sample Size Calculation Software

Description

Generate minimum sample size for the frequentist single-endpoint single-arm trial. Also provided a shiny app to evaluate the same thing with both frequentist and Bayesian methods side by side.

Usage

freq_binom_one_onestage(p0, p1, alpha, power, prior.a=0, prior.b=0, 
 round=TRUE)

shiny_binom_single_onestage()

Arguments

p0	Probability of success under H0
p1	Probability of success under H1
alpha	The largest allowed value for the frequentist type one error
power	The smallest allowed frequentist power
prior.a,prior.b	The prior parameters for the beta prior distribution
round	Optionally round the probability outputs to 3 significant figures

Value

Returns an object of class trialDesign_binom_one

Examples

p0=0.1
p1=0.3
alpha=0.1
power=0.8
prior.a=0
prior.b=0
freq_binom_one_onestage(p0,p1,alpha,power,prior.a,prior.b)

finite2/Eurosarc_bayes documentation built on May 16, 2019, 12:53 p.m.