Package: debest 0.1.0

debest: Duration Estimation for Biomarker Enrichment Studies and Trials

A general framework using mixture Weibull distributions to accurately predict biomarker-guided trial duration accounting for heterogeneous population. Extensive simulations are performed to evaluate the impact of heterogeneous population and the dynamics of biomarker characteristics and disease on the study duration. Several influential parameters including median survival time, enrollment rate, biomarker prevalence and effect size are identified. Efficiency gains of biomarker-guided trials can be quantitatively compared to the traditional all-comers design. For reference, see Zhang et al. (2024) <arxiv:2401.00540>.

Authors:Hong Zhang [aut, cre]

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# Install 'debest' in R:
install.packages('debest', repos = c('https://wpihongzhang.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • dat_udca - A derived biomarker dataset from a trial of usrodeoxycholic acid

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 140 downloads 3 exports 54 dependencies

Last updated 11 months agofrom:9177fd75c7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winOKOct 25 2024
R-4.5-linuxOKOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:calcDurationgetBetagetWeilbull

Dependencies:assertthatbbmlebdsmatrixBHclicolorspacecpp11data.tabledeSolvedplyrfansifarverfastGHQuadflexsurvgenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmstatemuhazmunsellmvtnormnlmenumDerivpillarpkgconfigpurrrquadprogR6RColorBrewerRcppRcppArmadillorlangrstpm2scalesstatmodstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr