PDXpower: Time to Event Outcome in Experimental Designs of Pre-ClinicalStudies
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 (2025) <doi:10.51387/25-NEJSDS76>. 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: | 1.0.5 |
| Depends: | R (≥ 3.5.0) |
| Imports: | nlme,ggplot2,ggpubr,frailtypack, stats,survival, parallel,ggplot2 |
| Suggests: | testthat (≥ 3.0.0),spelling |
| Published: | 2025-12-15 |
| 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 |
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