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debest
View on CRAN: Click
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Download and install debest package within the R console
Install from CRAN:
install.packages("debest")
Install from Github:
library("remotes")
install_github("cran/debest") Install by package version:
library("remotes")
install_version("debest", "0.1.0") Attach the package and use:
library("debest")
Maintained by
Hong Zhang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
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First Published: 2024-01-10
Latest Update: 2024-01-10
Description:
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) .
How to cite:
Hong Zhang (2024). debest: Duration Estimation for Biomarker Enrichment Studies and Trials. R package version 0.1.0, https://cran.r-project.org/web/packages/debest. Accessed 28 Oct. 2026.
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Complete documentation for debest
Functions, R codes and Examples using
the debest R package
Some associated functions: calcDuration . dat_udca . getBeta . getWeilbull .
Some associated R codes: calcDuration.R . dat_udca.R . getBeta.R . getWeibull.R . helpers.R . Full debest package functions and examples
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