| Title: | Model-Based Dose-Escalation Trials |
| Version: | 0.3-1 |
| Date: | 2017-11-03 |
| Description: | User-friendly Shiny apps for designing and evaluating phase I cancer clinical trials, with the aim to estimate the maximum tolerated dose (MTD) of a novel drug, using a Bayesian decision procedure based on logistic regression. |
| License: | GPL-2 |
| Imports: | knitr, rhandsontable, shiny, shinyBS |
| VignetteBuilder: | knitr |
| BugReports: | https://github.com/PhilipPallmann/modest/issues/ |
| NeedsCompilation: | no |
| Packaged: | 2017-11-16 17:55:51 UTC; mcbpp |
| Author: | Philip Pallmann [aut, cre], Fang Wan [aut] |
| Maintainer: | Philip Pallmann <pallmannp@cardiff.ac.uk> |
| Repository: | CRAN |
| Date/Publication: | 2017-11-16 22:24:10 UTC |
Shiny GUIs for model-based dose-escalation studies
Description
A user-friendly tool to design and evaluate phase I cancer clinical trials, with the aim to estimate the maximum tolerated dose (MTD) of a novel drug. This is a point-and-click implementation of the dose-escalation study design proposed by Zhou & Whitehead (2003) that uses a Bayesian logistic regression method. The graphical user interfaces (GUIs) are based on R's Shiny system.
Usage
design()
conduct()
Details
This package contains two separate modules:
1) The design module allows to investigate different design options and parameters, and to simulate their operating characteristics under various scenarios. Type design() and the GUI will open in a browser window.
2) The conduct module provides guidance for dose selection throughout the study, and a recommendation for the MTD at the end. Type conduct() and the GUI will open in a browser window.
Both modules generate a variety of graphs to visualise data and design properties, and create downloadable PDF reports of simulation results and study data analyses.
Author(s)
Philip Pallmann (pallmannp@cardiff.ac.uk)
References
Zhou Y, Whitehead J (2003) Practical implementation of Bayesian dose-escalation procedures. Drug Information Journal, 37(1), 45–59.
Examples
design()
conduct()