Bayesian Logistic Regression for Oncology Dose-Escalation Trials
Description
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)
and Neuenschwander et al. (2016)
for details on the methodology.