title: Extended model-based designs for more complex dose-finding studies.
abstract: We discuss extensions of model-based designs, such as the continual reassessment method, for use in dose-finding studies. Rather than work with a single model to carry out the design and analysis of a dose-finding study we indicate how the use of several models can greatly increase flexibility. We can appeal to established results on Bayesian model choice and this device makes the inferential problem essentially straightforward. The greater flexibility enables us to take on board many different kinds of added complexity. Examples include extended models to deal with subject heterogeneity, extended models to take account of different treatment schedules and extended models to tackle the problem of partial ordering.
authors.affiliation: Inserm, Université Paris VI, Place Jussieu, 75005 Paris, France. jmoquigley@gmail.com
authors.forename: John
authors.initials: J
authors.lastname: O'Quigley
authors.forename: Mark
authors.initials: M
authors.lastname: Conaway
mesh_terms: D000970:Antineoplastic Agents / Q000627:therapeutic use; D001499:Bayes Theorem; D017321:Clinical Trials, Phase I as Topic / Q000379:methods*; D004305:Dose-Response Relationship, Drug; D006801:Humans; D020714:Maximum Tolerated Dose; D015233:Models, Statistical; D009369:Neoplasms / Q000188:drug therapy; D012107:Research Design
chemical_list: D000970:Antineoplastic Agents