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PDXpower

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

v1.0.5 · Dec 14, 2025 · GPL (>= 2)

Description

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.

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Check History

NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

DESCRIPTION meta-information

Package listed in more than one of Depends, Imports, Suggests, Enhances:
  ‘ggplot2’
A package should be listed in only one of these fields.
NOTE r-oldrel-macos-x86_64

DESCRIPTION meta-information

Package listed in more than one of Depends, Imports, Suggests, Enhances:
  ‘ggplot2’
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NOTE r-oldrel-windows-x86_64

DESCRIPTION meta-information

Package listed in more than one of Depends, Imports, Suggests, Enhances:
  'ggplot2'
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Dependency Network

Dependencies Reverse dependencies nlme ggplot2 ggpubr frailtypack survival PDXpower

Version History

new 1.0.5 Mar 10, 2026
updated 1.0.5 ← 1.0.4 diff Dec 14, 2025
updated 1.0.4 ← 1.0.3 diff Jan 23, 2025
updated 1.0.3 ← 1.0.2 diff Jul 30, 2024
updated 1.0.2 ← 1.0.1 diff Jun 28, 2024
updated 1.0.1 ← 1.0.0 diff Apr 1, 2024
new 1.0.0 Mar 10, 2024