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PDXpower  

Time to Event Outcome in Experimental Designs of Pre-Clinical Studies
View on CRAN: Click here


Download and install PDXpower package within the R console
Install from CRAN:
install.packages("PDXpower")

Install from Github:
library("remotes")
install_github("cran/PDXpower")

Install by package version:
library("remotes")
install_version("PDXpower", "1.0.3")



Attach the package and use:
library("PDXpower")
Maintained by
Shanpeng Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-03-11
Latest Update: 2024-03-11
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) . 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.
How to cite:
Shanpeng Li (2024). PDXpower: Time to Event Outcome in Experimental Designs of Pre-Clinical Studies. R package version 1.0.3, https://cran.r-project.org/web/packages/PDXpower. Accessed 23 Nov. 2024.
Previous versions and publish date:
1.0.0 (2024-03-11 16:20), 1.0.1 (2024-04-02 04:10), 1.0.2 (2024-06-29 09:00)
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Complete documentation for PDXpower
Functions, R codes and Examples using the PDXpower R package
Full PDXpower package functions and examples
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