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Using InVivoStat to perform the statistical analysis of experiments

Bate, ST; Clark, RA; Stanford, SC; (2017) Using InVivoStat to perform the statistical analysis of experiments. Journal of Psychopharmacology , 31 (6) pp. 644-652. 10.1177/0269881116682213. Green open access

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Abstract

The need to improve reproducibility and reliability of animal experiments has led some journals to increase the stringency of the criteria that must be satisfied before manuscripts can be considered suitable for publication. In this article we give advice on experimental design, including minimum group sizes, calculating statistical power and avoiding pseudo-replication, which can improve reproducibility. We also give advice on normalisation, transformations, the gateway analysis of variance strategy and the use of p-values and confidence intervals. Applying all these statistical procedures correctly will strengthen the validity of the conclusions. We discuss how InVivoStat, a free-to-use statistical software package, which was designed for life scientists, especially animal researchers, can be used to help with these principles.

Type: Article
Title: Using InVivoStat to perform the statistical analysis of experiments
Open access status: An open access version is available from UCL Discovery
DOI: 10.1177/0269881116682213
Publisher version: http://doi.org/10.1177/0269881116682213
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Confidence interval, gateway ANOVA, InVivoStat, nested design, pseudo-replication, statistical power, transformation
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
URI: http://discovery.ucl.ac.uk/id/eprint/1538371
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