PDXpower: Time to Event Outcome in Experimental Designs of Pre-Clinical Studies

Conduct simulation-based customized power calculation for clustered time to event data in a mixed crossed/nested design, where a number of cell lines and a number of mice within each cell line are considered to achieve a desired statistical power, motivated by Eckel-Passow and colleagues (2021) <doi:10.1093/neuonc/noab137> and Li and colleagues (2024) <doi:10.48550/arXiv.2404.08927>. This package provides two commonly used models for powering a design, linear mixed effects and Cox frailty model. Both models account for within-subject (cell line) correlation while holding different distributional assumptions about the outcome. Alternatively, the counterparts of fixed effects model are also available, which produces similar estimates of statistical power.

Version:	1.0.3
Depends:	R (≥ 3.5.0), survival, stats, parallel
Imports:	nlme, ggplot2, ggpubr, frailtypack
Suggests:	testthat (≥ 3.0.0), spelling
Published:	2024-07-31
DOI:	10.32614/CRAN.package.PDXpower
Author:	Shanpeng Li [aut, cre], Gang Li [ctb]
Maintainer:	Shanpeng Li <lishanpeng0913 at ucla.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Language:	en-US
Materials:	README
CRAN checks:	PDXpower results

Documentation:

Reference manual:

PDXpower.pdf

Downloads:

Package source:	PDXpower_1.0.3.tar.gz
Windows binaries:	r-devel: PDXpower_1.0.3.zip, r-release: PDXpower_1.0.3.zip, r-oldrel: PDXpower_1.0.3.zip
macOS binaries:	r-release (arm64): PDXpower_1.0.3.tgz, r-oldrel (arm64): PDXpower_1.0.3.tgz, r-release (x86_64): PDXpower_1.0.3.tgz, r-oldrel (x86_64): PDXpower_1.0.3.tgz
Old sources:	PDXpower archive

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