triggerstrategy: Trigger Strategy in Clinical Trials

The trigger strategy is a general framework for a multistage statistical design with multiple hypotheses, allowing an adaptive selection of interim analyses. The selection of interim stages can be associated with some prespecified endpoints which serve as the trigger. This selection allows us to refine the critical boundaries in hypotheses testing procedures, and potentially increase the statistical power. This package includes several trial designs using the trigger strategy. See Gou, J. (2023), "Trigger strategy in repeated tests on multiple hypotheses", Statistics in Biopharmaceutical Research, 15(1), 133-140, and Gou, J. (2022), "Sample size optimization and initial allocation of the significance levels in group sequential trials with multiple endpoints", Biometrical Journal, 64(2), 301-311.

Getting started

Package details

AuthorJiangtao Gou [aut, cre], Fengqing (Zoe) Zhang [aut]
MaintainerJiangtao Gou <gouRpackage@gmail.com>
LicenseGPL-3
Version1.2.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("triggerstrategy")

Try the triggerstrategy package in your browser

Any scripts or data that you put into this service are public.

triggerstrategy documentation built on July 9, 2023, 5:25 p.m.