Bayesian decision procedures for binary and continuous bivariate dose-escalation studies |
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Authors: | Zhou Yinghui Whitehead John Bonvini Elisa Stevens John W |
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Institution: | Medical and Pharmaceutical Statistics Research Unit, The University of Reading, UK. y.zhou@reading.ac.uk |
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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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