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

Wayne Briner; Jeral Kirwan

doi:10.1016/j.neuro.2016.11.002

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

Neurotoxicology. 2017 Jan:58:137-142. doi: 10.1016/j.neuro.2016.11.002. Epub 2016 Dec 10.

Authors

Wayne Briner¹, Jeral Kirwan²

Affiliations

¹ Ashford University, College of Health, Human Services, and Science, 8620 Spectrum Center Blvd, San Diego, CA 92123, United States. Electronic address: Wayne.Briner@Ashford.edu.
² Ashford University, College of Health, Human Services, and Science, 8620 Spectrum Center Blvd, San Diego, CA 92123, United States. Electronic address: Jeral.Kirwan@ashford.edu.

PMID: 27965035
DOI: 10.1016/j.neuro.2016.11.002

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.

Keywords: Experimentation; Replication; Statistics; Toxicology.

Publication types

Review

MeSH terms

Animals
Humans
Reproducibility of Results
Research Design / standards*
Statistics as Topic* / methods
Statistics as Topic* / standards
Toxicology / methods*
Toxicology / standards*