Other packages > Find by keyword >

seqDesign  

Simulation and Group Sequential Monitoring of Randomized Two-Stage Treatment Efficacy Trials with Time-to-Event Endpoints
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("seqDesign", "1.2")



Attach the package and use:
library("seqDesign")
Maintained by
Michal Juraska
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-02-25
Latest Update: 2019-05-22
Description:
A modification of the preventive vaccine efficacy trial design of Gilbert, Grove et al. (2011, Statistical Communications in Infectious Diseases) is implemented, with application generally to individual-randomized clinical trials with multiple active treatment groups and a shared control group, and a study endpoint that is a time-to-event endpoint subject to right-censoring. The design accounts for the issues that the efficacy of the treatment/vaccine groups may take time to accrue while the multiple treatment administrations/vaccinations are given; there is interest in assessing the durability of treatment efficacy over time; and group sequential monitoring of each treatment group for potential harm, non-efficacy/efficacy futility, and high efficacy is warranted. The design divides the trial into two stages of time periods, where each treatment is first evaluated for efficacy in the first stage of follow-up, and, if and only if it shows significant treatment efficacy in stage one, it is evaluated for longer-term durability of efficacy in stage two. The package produces plots and tables describing operating characteristics of a specified design including an unconditional power for intention-to-treat and per-protocol/as-treated analyses; trial duration; probabilities of the different possible trial monitoring outcomes (e.g., stopping early for non-efficacy); unconditional power for comparing treatment efficacies; and distributions of numbers of endpoint events occurring after the treatments/vaccinations are given, useful as input parameters for the design of studies of the association of biomarkers with a clinical outcome (surrogate endpoint problem). The code can be used for a single active treatment versus control design and for a single-stage design.
How to cite:
Michal Juraska (2014). seqDesign: Simulation and Group Sequential Monitoring of Randomized Two-Stage Treatment Efficacy Trials with Time-to-Event Endpoints. R package version 1.2, https://cran.r-project.org/web/packages/seqDesign
Previous versions and publish date:
1.0.0 (2014-02-25 07:44), 1.0.1 (2014-04-17 17:29), 1.0.2 (2014-10-08 19:27), 1.1 (2015-04-27 18:57)
Other packages that cited seqDesign R package
View seqDesign citation profile
Other R packages that seqDesign depends, imports, suggests or enhances
Functions, R codes and Examples using the seqDesign R package
Some associated functions: VEpowerPP . censTrial . getBlockSize . monitorTrial . rankTrial . simTrial . 
Some associated R codes: seqDesign.R .  Full seqDesign package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

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  
ismev  
An Introduction to Statistical Modeling of Extreme Values
Functions to support the computations carried out in `An Introduction to Statistical Modeling of Ex ...
Download / Learn more Package Citations See dependency  
CompoundEvents  
Statistical Modeling of Compound Events
Tools for extracting occurrences, assessing potential driving factors, predicting occurrences, and q ...
Download / Learn more Package Citations See dependency  
stagePop  
Modelling the Population Dynamics of a Stage-Structured Species in Continuous Time
Provides facilities to implement and run population models of stage-structured species... ...
Download / Learn more Package Citations See dependency  
gclus  
Clustering Graphics
Orders panels in scatterplot matrices and parallel coordinate displays by some merit index. Package ...
Download / Learn more Package Citations See dependency  
multiocc  
Fits Multivariate Spatio-Temporal Occupancy Model
Spatio-temporal multivariate occupancy models can handle multiple species in occupancy models. This ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns