Literature DB >> 9119316

Statistical designs in combination toxicology: a matter of choice.

E D Schoen1.   

Abstract

Combination toxicological studies with statistically designed experiments do not often elaborate on the qualities of the design. Therefore, it may seem that the design used is the only one to meet the objectives of the study. This article demonstrates, on the contrary, that there are often several possibilities. Three recent toxicological experiments, featuring economy of experimentation, robustness against inhomogeneity of experimental material and increasing precision of results, respectively are used for illustration. The alternatives differ statistically in the number of distinct effects for which information can be obtained or in the safeguards to counter both inhomogeneity of material and incorrect models. Practically they differ in complexity of experimental conduct. It is concluded that the choice between the alternatives is a result of balancing practical complexity of the design against informational gain. Continuous co-operation between toxicologists and statisticians is needed to strike the balance again and again.

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Year:  1996        PMID: 9119316     DOI: 10.1016/s0278-6915(97)00075-6

Source DB:  PubMed          Journal:  Food Chem Toxicol        ISSN: 0278-6915            Impact factor:   6.023


  4 in total

1.  Adaptive iterative design (AID): a novel approach for evaluating the interactive effects of multiple stressors on aquatic organisms.

Authors:  Stephen P Glaholt; Celia Y Chen; Eugene Demidenko; Deenie M Bugge; Carol L Folt; Joseph R Shaw
Journal:  Sci Total Environ       Date:  2012-06-18       Impact factor: 7.963

2.  Statistically designed experiments to screen chemical mixtures for possible interactions.

Authors:  J P Groten; O Tajima; V J Feron; E D Schoen
Journal:  Environ Health Perspect       Date:  1998-12       Impact factor: 9.031

Review 3.  Toxicology of chemical mixtures: international perspective.

Authors:  V J Feron; F R Cassee; J P Groten
Journal:  Environ Health Perspect       Date:  1998-12       Impact factor: 9.031

4.  Environmental Interactions and Epistasis Are Revealed in the Proteomic Responses to Complex Stimuli.

Authors:  Parimal Samir; James C Slaughter; Andrew J Link
Journal:  PLoS One       Date:  2015-08-06       Impact factor: 3.240

  4 in total

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