Other packages > Find by keyword >

monitOS  

Monitoring Overall Survival in Pivotal Trials in Indolent Cancers
View on CRAN: Click here


Download and install monitOS package within the R console
Install from CRAN:
install.packages("monitOS")

Install from Github:
library("remotes")
install_github("cran/monitOS")

Install by package version:
library("remotes")
install_version("monitOS", "0.1.6")



Attach the package and use:
library("monitOS")
Maintained by
Thibaud Coroller
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-31
Latest Update: 2025-07-17
Description:
These guidelines are meant to provide a pragmatic, yet rigorous, help to drug developers and decision makers, since they are shaped by three fundamental ingredients: the clinically determined margin of detriment on OS that is unacceptably high (delta null); the benefit on OS that is plausible given the mechanism of action of the novel intervention (delta alt); and the quantity of information (i.e. survival events) it is feasible to accrue given the clinical and drug development setting. The proposed guidelines facilitate transparent discussions between stakeholders focusing on the risks of erroneous decisions and what might be an acceptable trade-off between power and the false positive error rate.
How to cite:
Thibaud Coroller (2023). monitOS: Monitoring Overall Survival in Pivotal Trials in Indolent Cancers. R package version 0.1.6, https://cran.r-project.org/web/packages/monitOS. Accessed 23 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:32), 0.1.3 (2023-10-31 17:40), 0.1.4 (2024-03-05 17:10), 0.1.5 (2024-03-21 20:20)
Other packages that cited monitOS R package
View monitOS citation profile
Other R packages that monitOS depends, imports, suggests or enhances
Complete documentation for monitOS
Functions, R codes and Examples using the monitOS R package
Some associated functions: app_server . app_ui . bounds . calc_posterior . calc_predictive . meeting_probs . run_app . 
Some associated R codes: bounds.R . posteriors.R . probs.R . runApp.R . server.R . ui.R .  Full monitOS package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

fitscape  
Classes for Fitness Landscapes and Seascapes
Convenient classes to model fitness landscapes and fitness seascapes. A low-level package with whic ...
Download / Learn more Package Citations See dependency  
ODS  
Statistical Methods for Outcome-Dependent Sampling Designs
Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In OD ...
Download / Learn more Package Citations See dependency  
gfcanalysis  
Tools for Working with Hansen et al. Global Forest Change Dataset
Supports analyses using the Global Forest Change dataset released by Hansen et al. gfcanalysis was ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
MixSIAR  
Bayesian Mixing Models in R
Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fa ...
Download / Learn more Package Citations See dependency  

27,889

R Packages

239,283

Dependencies

74,019

Author Associations

27,890

Publication Badges

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