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- Title
OPTIMAL DESIGN FOR EXPERIMENTS WITH POSSIBLY INCOMPLETE OBSERVATIONS.
- Authors
Kim May Lee; Biedermann, Stefanie; Mitra, Robin
- Abstract
Missing responses occur in many industrial and medical experiments, for example in clinical trials where slow acting treatments are assessed. Finding efficient designs for such experiments is problematic since it is not known at the design stage which observations will be missing. The design literature mainly focuses on assessing robustness of designs for missing data scenarios, rather than finding designs which are optimal in this situation. Imhof, Song and Wong (2002) propose a framework for design search, based on the expected information matrix. We develop an approach that includes Imhof, Song and Wong (2002)'s method as special case and justifies its use retrospectively. Our method is illustrated through a simulation study based on data from an Alzheimer's disease trial.
- Subjects
EXPERIMENTAL design; ALZHEIMER'S disease
- Publication
Statistica Sinica, 2018, Vol 28, Issue 3, p1611
- ISSN
1017-0405
- Publication type
Article
- DOI
10.5705/ss.202015.0225