Work

Extended model‐based designs for more complex dose‐finding studies

Year: 2011

Type: article

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.

Source: Statistics in Medicine

DOI: 10.1002/sim.4024

Authors: John O'Quigley, Mark Conaway

Institutions: Inserm, Université Pierre-et-Marie-Curie, University of Virginia

Language: English

Topic: Statistical Methods in Clinical Trials

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism, National Cancer Institute

Awards: G1451043069, G476989946, G606765083