Package: PDXpower 1.0.3

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 (2024) <doi: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:Shanpeng Li [aut, cre], Gang Li [ctb]

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PDXpower/json (API)

Peer review:

Bug tracker:https://github.com/shanpengli/pdxpower/issues

On CRAN:

7 exports 1.47 score 93 dependencies 2 scripts 329 downloads

Last updated 2 months agofrom:a6e5919d8c. Checks:OK: 7. Indexed: yes.

Exports:plotpowerPowANOVAPowANOVADatPowerTablePowFrailtyPowFrailtyDatSimPDXdata

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicolorspacecommonmarkcorrplotcowplotcpp11crayonDerivdigestdoBydplyrfansifarverfastmapfontawesomefrailtypackfsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrootSolverstatixsassscalesshinysourcetoolsSparseMstatmodstringistringrsurvC1survivaltibbletidyrtidyselectutf8vctrsviridisLitewithrxtable