Nothing
OncoBayes2: Bayesian Logistic Regression for Oncology Dose-Escalation Trials
Bayesian logistic regression model with optional EXchangeability-NonEXchangeability parameter modelling for flexible borrowing from historical or concurrent data-sources. The safety model can guide dose-escalation decisions for adaptive oncology Phase I dose-escalation trials which involve an arbitrary number of drugs. Please refer to Neuenschwander et al. (2008) <doi:10.1002/sim.3230> and Neuenschwander et al. (2016) <doi:10.1080/19466315.2016.1174149> for details on the methodology.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Lukas A. Widmer [aut], Andrew Bean [aut], Trustees of Columbia University [cph] (R/stanmodels.R, configure, configure.win) |
| Maintainer | Sebastian Weber <sebastian.weber@novartis.com> |
| License | GPL (>= 3) |
| Version | 0.8-9 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the OncoBayes2 package in your browser
Any scripts or data that you put into this service are public.
