We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Dose finding with longitudinal data: simpler models, richer outcomes.
- Authors
Paoletti, Xavier; Doussau, Adélaïde; Ezzalfani, Monia; Rizzo, Elisa; Thiébaut, Rodolphe
- Abstract
Phase I oncology clinical trials are designed to identify the optimal dose that will be recommended for phase II trials. This dose is typically defined as the dose associated with a certain probability of severe toxicity at cycle 1, although toxicity is repeatedly measured over cycles on an ordinal scale. Recently, a proportional odds mixed-effect model for ordinal outcomes has been proposed to (i) identify the optimal dose accounting for repeated events and (ii) to provide some framework to explore time trend. We compare this approach to a method based on repeated binary variables and to a method based on an under-parameterized model of the dose-time toxicity relationship. We show that repeated binary and ordinal outcomes both improve the accuracy of dose-finding trials in the same proportion; ordinal outcomes are, however, superior to detect time trend even in the presence of nonproportional odds models. Moreover, less parameterized models led to the best operating characteristics. These approaches are illustrated on two dose-finding phase I trials. Integration of repeated measurements is appealing in phase I dose-finding trials. Copyright © 2015 John Wiley & Sons, Ltd.
- Publication
Statistics in Medicine, 2015, Vol 34, Issue 22, p2983
- ISSN
0277-6715
- Publication type
Article
- DOI
10.1002/sim.6552