tot_time: Sum up transformed observation time for each patient

In BayesDesign: Bayesian Single-Arm Design with Survival Endpoints

Description

Sum up transformed observation time for each patient to get U in order to determine the trial: (1) goes to second stage (2) stops for futility (3) declares the treatment is promising and warrants for further study in a large scale phase III trial (4) declares the treatment is unpromising and is not worth for further study.

Usage

tot_time(obs_time, S0, x)

Arguments

obs_time	a vector. Each element represents an observation time of the patient
S0	the survival probability at timepoint x
x	the survival probability S0 at timepoint x

Value

the function returns the total transformed observation time for all patients

Author(s)

Chia-Wei Hsu, Haitao Pan, Jianrong Wu

References

Jianrong Wu, Haitao Pan, Chia-Wei Hsu (2021). "Bayesian Single-Arm Phase II Trial Designs with Time-to-Event Endpoints." Pharmaceutical Statistics. Accepted

Examples

obs_time <- c(3.003, 11.987, 4.306, 2.561, 1.575, 0.329, 1.940,
              0.869, 7.481, 1.861, 7.279, 0.007, 6.485, 1.981,
              4.257, 0.967, 2.619, 0.040, 0.426, 4.628)
S0 <- 0.17
x <- 4
tot_time(obs_time = obs_time, S0 = S0, x = x)

BayesDesign documentation built on May 4, 2021, 9:07 a.m.