Bayesian decision procedures for binary and continuous bivariate dose-escalation studies
Zhou, 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
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To link to this item DOI: 10.1002/pst.222
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. Copyright (C) 2006 John Wiley & Sons, Ltd.