D-optimal designs for multiarm trials with dropouts

Lee, K.M. and Biedermann, S. and Mitra, R. (2019) D-optimal designs for multiarm trials with dropouts. Statistics in Medicine, 38 (15). pp. 2749-2766. ISSN 0277-6715

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Abstract

Multiarm trials with follow-up on participants are commonly implemented to assess treatment effects on a population over the course of the studies. Dropout is an unavoidable issue especially when the duration of the multiarm study is long. Its impact is often ignored at the design stage, which may lead to less accurate statistical conclusions. We develop an optimal design framework for trials with repeated measurements, which takes potential dropouts into account, and we provide designs for linear mixed models where the presence of dropouts is noninformative and dependent on design variables. Our framework is illustrated through redesigning a clinical trial on Alzheimer's disease, whereby the benefits of our designs compared with standard designs are demonstrated through simulations. © 2019 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.

Item Type:
Journal Article
Journal or Publication Title:
Statistics in Medicine
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2613
Subjects:
ID Code:
132550
Deposited By:
Deposited On:
10 Apr 2019 14:25
Refereed?:
Yes
Published?:
Published
Last Modified:
28 Mar 2020 06:03