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Bayesian logistic regression with optional EX/NEX modeling enables flexible borrowing from historical or concurrent data. The safety model supports dose-escalation in adaptive Phase I oncology trials with multiple drugs. See Neuenschwander et al. (2008, 2016) for methodology.

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OncoBayes2

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.

Getting Started

To get a quick overview over the package functionality, please refer to the introductory vignette.

[![Codecov test coverage](https://codecov.io/gh/weberse2/OncoBayes2/graph/badge.svg)](https://app.codecov.io/gh/weberse2/OncoBayes2)

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Bayesian logistic regression with optional EX/NEX modeling enables flexible borrowing from historical or concurrent data. The safety model supports dose-escalation in adaptive Phase I oncology trials with multiple drugs. See Neuenschwander et al. (2008, 2016) for methodology.

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