posint: Sample Size of AEBSD for Postive and Interaction

In tingwangkevin/AEBSD: Calculate sample size of AEBSD and compare AEBSD with BSD

Description

Calculate minimum sample size needed of AEBSD for testing both treatment effect in biomarker positve and interaction effect, and its comparison with BSD

Usage

posint(rtrue,raux,ppv,lam1e,lam0e,lam1c,lam0c,tau,raccrual,powerdesired,alpha,costs)

Arguments

rtrue	the prevalence rates of patients with positive true biomarker
raux	the prevalence rates of patients with positive auxiliary biomarker
lam1e	hazrd rate for biomarker-positive subpopulation in the experimental treatment group
lam0e	hazrd rate for biomarker-negative subpopulation in the experimental treatment group
lam1c	hazrd rate for biomarker-positive subpopulation in the control treatment group
lam0c	hazrd rate for biomarker-negative subpopulation in the control treatment group
tau	minimum follow-up time
raccrual	accrual rate
powerdesired	desired design power
alpha	type-I error (for each test)
costs	cost vector including costscr (scrrening cost), costtrt (average treatment cost), costfol (follow-up cost) and costtest (biomarker test cost) for each randomized patient

Value

(1) The probability of randomizing patients with positive and negative auxiliary variable; (2) Number of randomized patients for AEBSD (3) Screening number for AEBSD (4) Number of randomized patients for BSD (5) Patient ratio (6) Cost ratio (7) Screening ratio

tingwangkevin/AEBSD documentation built on May 22, 2019, 2:46 p.m.