Experimental toxicology: Issues of statistics, experimental design, and replication

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2017 English Publisher:Elsevier BVJournal:NeuroToxicology, volume 58, pages 137-142 (issn: 0161-813X,

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Authors: Wayne, Briner; Jeral, Kirwan;

doi: 10.1016/j.neuro.2016.11.002

pmid: 27965035

Experimental toxicology: Issues of statistics, experimental design, and replication

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Abstract

The difficulty of replicating experiments has drawn considerable attention. Issues with replication occur for a variety of reasons ranging from experimental design to laboratory errors to inappropriate statistical analysis. Here we review a variety of guidelines for statistical analysis, design, and execution of experiments in toxicology. In general, replication can be improved by using hypothesis driven experiments with adequate sample sizes, randomization, and blind data collection techniques.

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Ashford University
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Keywords

Research Design, Statistics as Topic, Animals, Humans, Reproducibility of Results, Toxicology

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