Robustness of Bayesian D-optimal design for the logistic mixed model against misspecification of autocorrelation-Reference-Cited by-同舟云学术

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Robustness of Bayesian D-optimal design for the logistic mixed model against misspecification of autocorrelation

Published:2014-06-12 Issue:6 Volume:29 Page:1667-1690
ISSN:0943-4062
Container-title:Computational Statistics
language:en
Short-container-title:Comput Stat

Author:

Abebe H. T.,Tan F. E. S.,Van Breukelen G. J. P.,Berger M. P. F.

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s00180-014-0512-3.pdf

Reference36 articles.

1. Abebe HT, Tan FES, van Breukelen GJP, Berger MPF (2013) Bayesian design for dichotomous repeated measurements with autocorrelation. Stat Methods Med Res. doi: 10.1177/0962280213508850

2. Abebe HT, Tan FES, van Breukelen GJP, Berger MPF (2014a) Bayesian D-optimal designs for the two parameter logistic mixed effects model. Comput Stat Data Anal 71:1166–1176

3. Abebe HT, Tan FES, van Breukelen GJP, Serroyen J, Berger MPF (2014b) On the choice of a prior for Bayesian D-optimal designs for the logistic regression model with a single predictor. Commun Stat Simul Comput 43(7):1811–1824

4. Atkinson AC, Haines LM (1996) Designs for nonlinear and generalized linear models. Handb Stat 13:437–475

5. Atkinson AC, Donev AN, Tobias RD (2007) Optimum Experimental Designs, with SAS. Clarendon, Oxford

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