Literature DB >> 2841743

'Optimal' designs for drug, neurotransmitter and hormone receptor assays.

G Dunn1.   

Abstract

The present paper reports the use of computer simulations of ligand-receptor interactions to evaluate the robustness of D-optimal designs for receptor assays when these designs are based on unrealistic models for ligand binding. Particular attention is paid to the assumed distribution of the measurement errors together with complications caused by 'non-specific' binding of a radioligand to a tissue or cell preparation. It is the latter factor which suggests that an optimal design for estimation of the parameters of a simple hyperbolic dose-response curve is nowhere near to being optimal in practice.

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Year:  1988        PMID: 2841743     DOI: 10.1002/sim.4780070710

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  3 in total

1.  Two-Stage Experimental Design for Dose-Response Modeling in Toxicology Studies.

Authors:  Kai Wang; Feng Yang; Dale W Porter; Nianqiang Wu
Journal:  ACS Sustain Chem Eng       Date:  2013-06-27       Impact factor: 8.198

2.  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

3.  A New Stochastic Kriging Method for Modeling Multi-Source Exposure-Response Data in Toxicology Studies.

Authors:  Kai Wang; Xi Chen; Feng Yang; Dale W Porter; Nianqiang Wu
Journal:  ACS Sustain Chem Eng       Date:  2014-05-20       Impact factor: 8.198

  3 in total

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