Other packages > Find by keyword >

futility  

Interim Analysis of Operational Futility in Randomized Trials with Time-to-Event Endpoints and Fixed Follow-Up
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("futility", "0.4")



Attach the package and use:
library("futility")
Maintained by
Michal Juraska
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-29
Latest Update: 2019-04-11
Description:
Randomized clinical trials commonly follow participants for a time-to-event efficacy endpoint for a fixed period of time. Consequently, at the time when the last enrolled participant completes their follow-up, the number of observed endpoints is a random variable. Assuming data collected through an interim timepoint, simulation-based estimation and inferential procedures in the standard right-censored failure time analysis framework are conducted for the distribution of the number of endpoints--in total as well as by treatment arm--at the end of the follow-up period. The future (i.e., yet unobserved) enrollment, endpoint, and dropout times are generated according to mechanisms specified in the simTrial() function in the 'seqDesign' package. A Bayesian model for the endpoint rate, offering the option to specify a robust mixture prior distribution, is used for generating future data (see the vignette for details). Inference can be restricted to participants who received treatment according to the protocol and are observed to be at risk for the endpoint at a specified timepoint. Plotting functions are provided for graphical display of results.
How to cite:
Michal Juraska (2017). futility: Interim Analysis of Operational Futility in Randomized Trials with Time-to-Event Endpoints and Fixed Follow-Up. R package version 0.4, https://cran.r-project.org/web/packages/futility. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:40), 0.1 (2017-07-29 00:29), 0.2 (2017-11-22 20:40), 0.3 (2019-02-07 00:33), 0.4 (2019-04-11 06:45)
Other packages that cited futility R package
View futility citation profile
Other R packages that futility depends, imports, suggests or enhances
Complete documentation for futility
Functions, R codes and Examples using the futility R package
Some associated functions: completeTrial.byArm . completeTrial.pooledArms . plotRCDF.byArm . plotRCDF.pooledArms . 
Some associated R codes: futility.R .  Full futility package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
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  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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