design_surv: Design the clinical trial for survival outcome

In gsMAMS: Group Sequential Designs of Multi-Arm Multi-Stage Trials

Design the clinical trial for survival outcome

Description

This function generates the design parameters of a clinical trial for survival outcome.

Usage

design_surv(m0, alpha, beta, k, hr0, hr1, ta, tf, kappa, eta, frac)

Arguments

m0	numeric Median survival time of control group.
alpha	numeric Type I error.
beta	numeric Type II error.
k	numeric Number of treatment arms.
hr0	numeric Hazard ratio of ineffective treatment group vs control.
hr1	numeric Hazard ratio of effective treatment group vs control.
ta	numeric Accrual time.
tf	numeric Follow-up time.
kappa	numeric Shape parameter (kappa=1 for exponential distribution).
eta	numeric Rate of loss to follow-up.
frac	numeric Vector of fractions for information time at each look.

Value

List of cumulative number of events for each stage of combined treatment and control groups along with total number of subjects and maximum total number of events for the trial. It also provides efficacy and futility boundaries of the trial.

Examples

design_surv(m0 = 20,
            hr0 = 1,
            hr1 = 0.65,
            ta = 20,
            tf = 40,
            alpha = 0.05,
            beta = 0.1,
            k = 3,
            kappa = 1,
            eta = 0,
            frac = c(1 / 2, 1))

gsMAMS documentation built on May 29, 2024, 3:25 a.m.