hce: Design and Analysis of Hierarchical Composite Endpoints

Simulate and analyze hierarchical composite endpoints. Win odds is the main analysis method, but other win statistics (win ratio, net benefit) are also implemented, provided there is no censoring. See Gasparyan SB et al (2023) "Hierarchical Composite Endpoints in COVID-19: The DARE-19 Trial." Case Studies in Innovative Clinical Trials, 95-148. Chapman; Hall/CRC. <doi:10.1201/9781003288640-7>.

Package details

AuthorSamvel B. Gasparyan [aut, cre] (<https://orcid.org/0000-0002-4797-2208>)
MaintainerSamvel B. Gasparyan <gasparyan.co@gmail.com>
LicenseMIT + file LICENSE
Version0.6.5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("hce")

Try the hce package in your browser

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

hce documentation built on Oct. 16, 2024, 9:06 a.m.