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.
- Version0.8-9
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Neuenschwander et al. (2008)
- Neuenschwander et al. (2016)
- Last release07/20/2023
Documentation
Team
Sebastian Weber
Trustees of Columbia University
Show author detailsRolesCopyright holderNovartis Pharma AG
Show author detailsRolesCopyright holderLukas A. Widmer
Show author detailsRolesAuthorAndrew Bean
Show author detailsRolesAuthor
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- Imports18 packages
- Suggests5 packages
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