Literature DB >> 12391397

Role of ancillary variables in the design, analysis, and interpretation of animal experiments.

Rose E Gaines Das1.   

Abstract

During the course of an experiment using animals, many variables (e.g., age, body weight at several times, food and water consumption, hematology, and clinical biochemistry) and other characteristics are often recorded in addition to the primary response variable(s) specified by the experimenter. These additional variables have an important role in the design and interpretation of the experiment. They may be formally incorporated into the design and/or analysis and thus increase precision and power. However, even if these variables are not incorporated into the primary statistical design or into the formal analysis of the experiment, they may nevertheless be used in an ancillary or exploratory way to provide valuable information about the experiment, as shown by various examples. Used in this way, ancillary variables may improve analysis and interpretation by providing an assessment of the randomization process and an approach to the identification of outliers, lead to the generation of new hypotheses, and increase generality of results or account for differences in results when compared across different experiments. Thus, appropriate use of additional variables may lead to reduction in the number of animals required to achieve the aims of the experiment and may provide additional scientific information as an extra benefit. Unfortunately, this type of information is sometimes effectively discarded because its potential value is not recognized. Guidelines for use of animals include, in addition to the obligation to follow humane procedures, the obligation to use no more animals than necessary. Ethical experimental practice thus requires that all information be properly used and reported.

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Year:  2002        PMID: 12391397     DOI: 10.1093/ilar.43.4.214

Source DB:  PubMed          Journal:  ILAR J        ISSN: 1084-2020


  7 in total

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Authors:  Mitchell R Emerson; Ryan J Gallagher; Janet G Marquis; Steven M LeVine
Journal:  Comp Med       Date:  2009-04       Impact factor: 0.982

2.  Ethics and animal numbers: informal analyses, uncertain sample sizes, inefficient replications, and type I errors.

Authors:  Douglas A Fitts
Journal:  J Am Assoc Lab Anim Sci       Date:  2011-07       Impact factor: 1.232

3.  Optimising experimental design for high-throughput phenotyping in mice: a case study.

Authors:  Natasha A Karp; Lauren A Baker; Anna-Karin B Gerdin; Niels C Adams; Ramiro Ramírez-Solis; Jacqueline K White
Journal:  Mamm Genome       Date:  2010-08-27       Impact factor: 2.957

Review 4.  Inadequate awareness of adherence to ARRIVE guidelines, regarding reporting quality of hernia models repaired with meshes: a systematic review.

Authors:  H Liu; M J C A M Gielen; J W A M Bosmans; B Winkens; N D Bouvy
Journal:  Hernia       Date:  2021-01-04       Impact factor: 4.739

5.  Chromosomal assignment of quantitative trait loci influencing baseline circulating total cholesterol level in male laboratory mice: report of a consomic strain survey and comparison with published results.

Authors:  Hein A van Lith; Marijke C Laarakker; José G Lozeman-van't Klooster; Frauke Ohl
Journal:  BMC Res Notes       Date:  2015-04-08

6.  Consomic mouse strain selection based on effect size measurement, statistical significance testing and integrated behavioral z-scoring: focus on anxiety-related behavior and locomotion.

Authors:  M Labots; M C Laarakker; F Ohl; H A van Lith
Journal:  BMC Genet       Date:  2016-06-29       Impact factor: 2.797

7.  Effects of Sodium Chloride-Rich Mineral Water on Intestinal Epithelium. Experimental Study.

Authors:  Pascual-Vicente Crespo; Fernando Campos; Manuel Leal; Francisco Maraver
Journal:  Int J Environ Res Public Health       Date:  2021-03-22       Impact factor: 3.390

  7 in total

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