Maximin D-optimal designs for binary longitudinal responses
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| Description: |
Tekle, F (Maastricht University)
Monday 11 August 2008, 17:00-17:30 |
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| Created: | 2008-09-09 14:19 | ||
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| Collection: | Design and Analysis of Experiments | ||
| Publisher: | Isaac Newton Institute | ||
| Copyright: | Tekle, F | ||
| Language: | eng (English) | ||
| Distribution: |
World
(downloadable)
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| Explicit content: | No | ||
| Aspect Ratio: | 4:3 | ||
| Screencast: | No | ||
| Bumper: | UCS Default | ||
| Trailer: | UCS Default | ||
| Abstract: | Optimal design problems for logistic mixed effects models for binary longitudinal responses are considered. A function of the approximate information matrix under the framework of the Penalized Quasi Likelihood (PQL) and a generalized linear mixed model with autocorrelation is optimized. Locally D-optimal designs are computed. Maximin D-optimal designs are considered to overcome the problem of parameter value dependency of the D-optimal designs. The results show that the optimal number of repeated measurements depends on the number of regression parameters in the model. The performance of the maximin D-optimal designs in terms of the maximin efficiency (MME) is high for a range of parameter values that is common in practice. The design locations for mixed-effects logistic models generally shift to the left as compared to the design locations for general linear mixed- effects models known in the literature.
http://www.newton.ac.uk/programmes/DOE/seminars/index.html |
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