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Published on: September 4, 2017
Bayesian decision procedures for binary and continuous bivariate dose-escalation studies
Yinghui Zhou1, John Whitehead, Elisa Bonvini
1Medical and Pharmaceutical Statistics Research Unit, The University of Reading, UK. y.zhou@reading.ac.uk
Abstract:
In this paper, Bayesian decision procedures are developed for dose-escalation studies based on binary measures of undesirable events and continuous measures of therapeutic benefit. The methods generalize earlier approaches where undesirable events and therapeutic benefit are both binary. A logistic regression model is used to model the binary responses, while a linear regression model is used to model the continuous responses. Prior distributions for the unknown model parameters are suggested. A gain function is discussed and an optional safety constraint is included.
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