Other packages > Find by keyword >

BioPETsurv  

Biomarker Prognostic Enrichment Tool for Time-to-Event Trial
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]
All associated links for this package
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 25 Jun. 2026.
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA