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Bayesian Logistic Regression for Oncology Dose-Escalation Trials
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | OncoBayes2 |
Bayesian Logistic Regression for Oncology Dose-Escalation Trials |
Statements
20 July 2023
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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.
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