Journal article
Adaptive group sequential design for phase II clinical trials: a Bayesian decision theoretic approach
Statistics in medicine, Vol.28(27), pp.3347-3362
11/30/2009
DOI: 10.1002/sim.3711
PMID: 19725024
Abstract
Bayesian decision theoretic approaches (BDTAs) have been widely studied in the literature as tools for designing and conducting phase II clinical trials. However, full Bayesian approaches that consider multiple endpoints are lacking. Since the monitoring of toxicity is a major goal of phase II trials, we propose an adaptive group sequential design using a BDTA, which characterizes efficacy and toxicity as correlated bivariate binary endpoints. We allow trade-off between the two endpoints. Interim evaluations are conducted group sequentially, but the number of interim looks and the size of each group are chosen adaptively based on current observations.We utilize a loss function consisting of two components: the loss associated with accruing, treating, and monitoring patients, and the loss associated with making incorrect decisions. The performance of our Bayesian modeling, and the operating characteristics of decision rules under a wide range of loss function parameters are evaluated using seven scenarios in a simulation study.Our method is illustrated in the context of a single-arm phase II trial of bevacizumab, gemcitabine, and oxaliplatin in patients with metastatic pancreatic adenocarcinoma.
Details
- Title: Subtitle
- Adaptive group sequential design for phase II clinical trials: a Bayesian decision theoretic approach
- Creators
- Yiyi Chen - Division of Biostatistics, Department of Public Health and Preventive Medicine, Oregon Health and Science University, Portland, OR 97239, USA. chenyiy@ohsu.eduBrian J Smith
- Resource Type
- Journal article
- Publication Details
- Statistics in medicine, Vol.28(27), pp.3347-3362
- Publisher
- England
- DOI
- 10.1002/sim.3711
- PMID
- 19725024
- ISSN
- 0277-6715
- eISSN
- 1097-0258
- Language
- English
- Date published
- 11/30/2009
- Academic Unit
- Biostatistics; Holden Comprehensive Cancer Center
- Record Identifier
- 9983997356702771
Metrics
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