Group Sequential Clinical Trial Designs for Composite Endpoints

Simulating composite endpoints with recurrent and terminal events under staggered entry, and for constructing one- and two-sample group sequential test statistics and monitoring boundaries based on the mean frequency function. Details will be available in an upcoming publication.


gsMeanFreq

Group sequential methods for composite endpoints based on mean frequency functions with recurrent and terminal events.

Description

The package implements simulation, estimation, and power calibration procedures for group sequential designs with composite endpoints, including recurrent events and terminal events. Both one-sample and two-sample settings are supported, with calendar-time monitoring.

Installation

install.packages("gsMeanFreq")

Example

This is a basic example which shows you how to solve a common problem:

library(gsMeanFreq)
# Simulate one-sample composite endpoint data
df <- Onesample.generate.sequential(
  size = 200,
  recruitment = 3,
  calendar = 5,
  random.censor.rate = 0.05,
  seed = 123
)
OneSample.Estimator.sequential(data= df, t = c(1.5, 2.9, 4.6))

Reference manual

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install.packages("gsMeanFreq")

0.1.0 by Qinghua Lian, 8 months ago


Browse source code at https://github.com/cran/gsMeanFreq


Authors: Qinghua Lian [aut, cre] , Kwang Woo Ahn [ctb] , Soyoung Kim [ctb] , Michael J Martens [aut] , Brent R. Logan [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, tibble, pracma, mvtnorm, gsDesign, stats, bdsmatrix, rlang, foreach, survival


See at CRAN