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debest  

Duration Estimation for Biomarker Enrichment Studies and Trials
View on CRAN: Click here


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]
All associated links for this package
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
Previous versions and publish date:
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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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Maintainer: Li Yan (view profile)

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