nphPower: Sample Size Calculation under Non-Proportional Hazards

Performs combination tests and sample size calculation for fixed design with survival endpoints using combination tests under either proportional hazards or non-proportional hazards. The combination tests include maximum weighted log-rank test and projection test. The sample size calculation procedure is very flexible, allowing for user-defined hazard ratio function and considering various trial conditions like staggered entry, drop-out etc. Trial simulation function is also provided to facilitate the empirical power calculation. The references for projection test and maximum weighted logrank test include Brendel et al. (2014) <doi:10.1111/sjos.12059> and Cheng and He (2021) <arXiv:2110.03833>. The references for sample size calculation under proportional hazard include Schoenfeld (1981) <doi:10.1093/biomet/68.1.316> and Freedman (1982) <doi:10.1002/sim.4780010204>. The references for calculation under non-proportional hazards include Lakatos (1988) <doi:10.2307/2531910> and Cheng and He (2021) (under review).

Getting started

Package details

AuthorHuan Cheng [aut, cre] (<https://orcid.org/0000-0002-2552-7656>)
MaintainerHuan Cheng <hcheng1118@hotmail.com>
LicenseGPL (>= 2)
Version1.0.0
URL https://github.com/hcheng99/nphPower
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("nphPower")

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nphPower documentation built on Dec. 1, 2021, 5:06 p.m.