Literature DB >> 11129489

Minimax D-optimal designs for the logistic model.

J King1, W K Wong.   

Abstract

We propose an algorithm for constructing minimax D-optimal designs for the logistic model when only the ranges of the values for both parameters are assumed known. Properties of these designs are studied and compared with optimal Bayesian designs and Sitter's (1992, Biometrics, 48, 1145-1155) minimax D-optimal kk-designs. Examples of minimax D-optimal designs are presented for the logistic and power logistic models, including a dose-response design for rheumatoid arthritis patients.

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Year:  2000        PMID: 11129489     DOI: 10.1111/j.0006-341x.2000.01263.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  8 in total

1.  Web-based tools for finding optimal designs in biomedical studies.

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Journal:  Comput Methods Programs Biomed       Date:  2013-06-24       Impact factor: 5.428

2.  Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming-Based Approach.

Authors:  Belmiro P M Duarte; Weng Kee Wong
Journal:  Int Stat Rev       Date:  2014-10-14       Impact factor: 2.217

3.  Standardized maximim D-optimal designs for enzyme kinetic inhibition models.

Authors:  Ping-Yang Chen; Ray-Bing Chen; Heng-Chin Tung; Weng Kee Wong
Journal:  Chemometr Intell Lab Syst       Date:  2017-09-06       Impact factor: 3.491

4.  New Efficient and Practicable Adaptive Designs for Calibrating Items Online.

Authors:  Yinhong He; Ping Chen; Yong Li
Journal:  Appl Psychol Meas       Date:  2019-01-30

5.  Design issues for population growth models.

Authors:  J López Fidalgo; I M Ortiz Rodríguez; Weng Kee Wong
Journal:  J Appl Stat       Date:  2011-03-01       Impact factor: 1.404

6.  Optimal two-stage sampling for mean estimation in multilevel populations when cluster size is informative.

Authors:  Francesco Innocenti; Math Jjm Candel; Frans Es Tan; Gerard Jp van Breukelen
Journal:  Stat Methods Med Res       Date:  2020-09-17       Impact factor: 3.021

7.  Maximin optimal designs for cluster randomized trials.

Authors:  Sheng Wu; Weng Kee Wong; Catherine M Crespi
Journal:  Biometrics       Date:  2017-02-09       Impact factor: 1.701

8.  Pharmacometrics meets statistics-A synergy for modern drug development.

Authors:  Yevgen Ryeznik; Oleksandr Sverdlov; Elin M Svensson; Grace Montepiedra; Andrew C Hooker; Weng Kee Wong
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-08-19
  8 in total

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