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 (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 |
Documentation:
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