Literature DB >> 30250356

Locally Optimal Designs for Some Dose-Response Models With Continuous Endpoints.

Yi Zhai1, Zhide Fang1.   

Abstract

We consider the problem of constructing static (or non-sequential), approximate optimal designs for a class of dose response models with continuous outcomes. We obtain conditions for a design being D-optimal or c-optimal. The designs are locally optimal in that they depend on the model parameters. The efficiency studies show that these designs have high efficiency when the mis-specification of the initial values of model parameters is not severe. A case study indicates that using an optimal design may result in a significant saving of resources.

Entities:  

Keywords:  D-optimality; Dose-Response; Efficiency; Toxicology; c-optimality

Year:  2017        PMID: 30250356      PMCID: PMC6150483          DOI: 10.1080/03610926.2017.1361996

Source DB:  PubMed          Journal:  Commun Stat Theory Methods        ISSN: 0361-0926            Impact factor:   0.893


  3 in total

1.  Dose-response modeling of continuous endpoints.

Authors:  Wout Slob
Journal:  Toxicol Sci       Date:  2002-04       Impact factor: 4.849

2.  Design and analysis of dose-finding studies combining multiple comparisons and modeling procedures.

Authors:  José Pinheiro; Björn Bornkamp; Frank Bretz
Journal:  J Biopharm Stat       Date:  2006       Impact factor: 1.051

3.  The developmental toxicity of ethylene glycol in rats and mice.

Authors:  C J Price; C A Kimmel; R W Tyl; M C Marr
Journal:  Toxicol Appl Pharmacol       Date:  1985-10       Impact factor: 4.219

  3 in total

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