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BioPETsurv
View on CRAN: Click
here
Download and install BioPETsurv package within the R console
Install from CRAN:
install.packages("BioPETsurv")
Install from Github:
library("remotes")
install_github("cran/BioPETsurv")
Install by package version:
library("remotes")
install_version("BioPETsurv", "0.1.0")
Attach the package and use:
library("BioPETsurv")
Maintained by
Si Cheng
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.BioPETsurv . BioPETsurv results . BioPETsurv.pdf . BioPETsurv_0.1.0.tar.gz . BioPETsurv_0.1.0.zip . BioPETsurv_0.1.0.zip . BioPETsurv_0.1.0.zip . BioPETsurv_0.1.0.tgz . BioPETsurv_0.1.0.tgz . BioPETsurv_0.1.0.tgz . BioPETsurv_0.1.0.tgz . BioPETsurv_0.1.0.tgz . BioPETsurv_0.1.0.tgz . https://CRAN.R-project.org/package=BioPETsurv .
First Published: 2020-01-12
Latest Update: 2020-01-12
Description:
Prognostic Enrichment is a strategy of enriching a clinical trial for testing an intervention intended to prevent or delay an unwanted clinical event. A prognostically enriched trial enrolls only patients who are more likely to experience the unwanted clinical event than the broader patient population (R. Temple (2010) ). By testing the intervention in an enriched study population, the trial may be adequately powered with a smaller sample size, which can have both practical and ethical advantages.
This package provides tools to evaluate biomarkers for prognostic enrichment of clinical trials with survival/time-to-event outcomes.
How to cite:
Si Cheng (2020). BioPETsurv: Biomarker Prognostic Enrichment Tool for Time-to-Event Trial. R package version 0.1.0, https://cran.r-project.org/web/packages/BioPETsurv. Accessed 02 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited BioPETsurv R package
View BioPETsurv citation profile
Other R packages that BioPETsurv depends,
imports, suggests or enhances
Complete documentation for BioPETsurv
Functions, R codes and Examples using
the BioPETsurv R package
Some associated functions: SurvMarkers . sim_data . surv_enrichment . surv_plot_enrichment .
Some associated R codes: SurvMarkers.R . sim_data.R . surv_enrichment.R . surv_plot_enrichment.R . Full BioPETsurv package functions and examples
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