Literature DB >> 8668866

Tutorial in biostatistics. Designing studies for dose response.

W K Wong1, P A Lachenbruch.   

Abstract

'Dose response' refers to the regression of a response on a stimulus. We review a number of options for dose-response designs, and compare various designs which may be used in practice. We start with two group designs. Next, we introduce basic optimal approximate design theory for simple linear and quadratic regression illustrating different criteria of optimality and their effect on the allocation of the levels of the dose. Then we obtain the efficiencies of these optimal approximate designs and some simple designs which have intuitive appeal (symmetry, equal spacing of treatments, reduced numbers of observations at the highest and lowest doses).

Mesh:

Year:  1996        PMID: 8668866     DOI: 10.1002/(SICI)1097-0258(19960229)15:4<343::AID-SIM163>3.0.CO;2-F

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


  6 in total

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

Authors:  Weng Kee Wong
Journal:  Comput Methods Programs Biomed       Date:  2013-06-24       Impact factor: 5.428

2.  Optimal designs based on the maximum quasi-likelihood estimator.

Authors:  Gang Shen; Seung Won Hyun; Weng Kee Wong
Journal:  J Stat Plan Inference       Date:  2016-07-15       Impact factor: 1.111

3.  Optimal experimental design strategies for detecting hormesis.

Authors:  Holger Dette; Andrey Pepelyshev; Weng Kee Wong
Journal:  Risk Anal       Date:  2011-05-05       Impact factor: 4.000

4.  Optimal designs for health risk assessments using fractional polynomial models.

Authors:  Víctor Casero-Alonso; Jesús López-Fidalgo; Weng Kee Wong
Journal:  Stoch Environ Res Risk Assess       Date:  2022-01-05       Impact factor: 3.821

5.  Pregabalin versus gabapentin in partial epilepsy: a meta-analysis of dose-response relationships.

Authors:  Philippa Delahoy; Sally Thompson; Ian C Marschner
Journal:  BMC Neurol       Date:  2010-11-01       Impact factor: 2.474

6.  A model-based approach to designing developmental toxicology experiments using sea urchin embryos.

Authors:  Michael D Collins; Elvis Han Cui; Seung Won Hyun; Weng Kee Wong
Journal:  Arch Toxicol       Date:  2022-01-13       Impact factor: 5.153

  6 in total

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