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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.

Functions (38)

OncoBayes2

Bayesian Logistic Regression for Oncology Dose-Escalation Trials

v0.7-0
GPL (>= 3)
Authors
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)
Initial release
2021-05-07

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