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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "PDXpower" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'PDXpower: Time to Event Outcome in Experimental Designs of Pre-Clinical Studies'
version: 1.0.3
doi: 10.32614/CRAN.package.PDXpower
abstract: 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) <https://doi.org/10.1093/neuonc/noab137>
  and Li and colleagues (2024) <https://doi.org/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.
authors:
- family-names: Li
  given-names: Shanpeng
  email: lishanpeng0913@ucla.edu
repository: https://CRAN.R-project.org/package=PDXpower
date-released: '2024-07-30'
contact:
- family-names: Li
  given-names: Shanpeng
  email: lishanpeng0913@ucla.edu