کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
417215 | 681468 | 2008 | 10 صفحه PDF | دانلود رایگان |

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 DD-optimal designs are computed. Maximin DD-optimal designs are considered to overcome the problem of parameter value dependency of the DD-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 DD-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.
Journal: Computational Statistics & Data Analysis - Volume 52, Issue 12, 15 August 2008, Pages 5253–5262