Designing dose-finding studies with an active control for exponential families

• 成果类型: Article
• 署名作者: Dette, H.; Kettelhake, K.; Bretz, F.
• 署名单位: Ruhr University Bochum; Novartis
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/asv041
• 发表日期: 2015
• 页码: 937950
• 关键词: model

摘要

Optimal design of dose-finding studies with an active control has only been considered in the literature for regression models with normally distributed errors and known variances, where the focus is on estimating the smallest dose that achieves the same treatment effect as the active control. This paper discusses such dose-finding studies from a broader perspective. We consider a general class of optimality criteria and models arising from an exponential family. Optimal designs are constructed for several situations and their efficiency is illustrated with examples.