design_surv {gsMAMS}

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))