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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - D-optimal designs for multiarm trials with dropouts
AU - Lee, K.M.
AU - Biedermann, S.
AU - Mitra, R.
PY - 2019/7/1
Y1 - 2019/7/1
N2 - 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.
AB - 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.
KW - available case analysis
KW - design of experiments
KW - linear mixed models
KW - noninformative dropouts
U2 - 10.1002/sim.8148
DO - 10.1002/sim.8148
M3 - Journal article
VL - 38
SP - 2749
EP - 2766
JO - Statistics in Medicine
JF - Statistics in Medicine
SN - 0277-6715
IS - 15
ER -