Bayesian decision procedures for binary and continuous bivariate dose-escalation studiesZhou, Y., Whitehead, J., Bonvini, E. and Stevens, J.S. (2006) Bayesian decision procedures for binary and continuous bivariate dose-escalation studies. Pharmaceutical Statistics, 5 (2). pp. 125-133. ISSN 1539-1612 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1002/pst.222 Abstract/SummaryIn 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. Copyright (C) 2006 John Wiley & Sons, Ltd.
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