The Journal of Physiology

Cover image for Vol. 593 Issue 6

Edited By: David Paterson

Impact Factor: 4.544

ISI Journal Citation Reports © Ranking: 2013: 8/81 (Physiology); 55/252 (Neurosciences)

Online ISSN: 1469-7793

Associated Title(s): Experimental Physiology

Statistical Reporting Guidelines


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Published online 26 February 2013

Published by The Journal of Physiology and Experimental Physiology

Introduction

Articles

Cover image from Drummond & Vowler, Different tests for a difference: how do we do research?


Introduction


JPEP

Statistics: all together now, one step at a time
Gordon B. Drummond, David J. Paterson, P. McLoughlin & John C. McGrath
J Physiol 589 1859 (2011)
Exp Physiol 96, 481–482 (2011)


Articles

Originally published in the following:
The Journal of Physiology
Experimental Physiology
Advances in Physiology Education
Clinical and Experimental Pharmacology and Physiology
Microcirculation
The British Journal of Pharmacology


JPEP

Show the data, don't conceal them
G. B. Drummond & S. L. Vowler
J Physiol 589, 1861–1863 (2011)
Exp Physiol 96, 483–485 (2011)
Basics of data presentation, including dot plots, and how to summarise data.

JPEP

Data interpretation: using probability
G. B. Drummond & S. L. Vowler
J Physiol 589, 2433–2435 (2011)
Exp Physiol 96, 561–563 (2011)
The theoretical basis of significance tests.

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How can we tell if frogs jump further?
Gordon B. Drummond & Brian D. M. Tom
J Physiol 589, 3409–3413 (2011)
Exp Physiol 96, 711-715 (2011)
Comparisons between groups, sampled from a larger population.

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Statistics, probability, significance, likelihood: words mean what we define them to mean
Gordon B. Drummond & Brian D. M. Tom
J Physiol 589, 3901–3904 (2011)
Exp Physiol 96, 817–821 (2011)
The theoretical basis of significance tests, and their weaknesses.

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Presenting data: can you follow a recipe?
Gordon B. Drummond & Brian D. M. Tom
J Physiol 589, 5007–5011 (2011)
Exp Physiol 96, 1249–1252 (2011)
Basics of experimental design and data analysis.

JPEP

Different tests for a difference: how do we do research?
Gordon B. Drummond & Sarah L. Vowler
J Physiol 590, 235–238 (2012)
Exp Physiol 97, 171–174 (2012)
Suitable tests for analysing laboratory data.

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Analysis of variance: variably complex
Gordon B. Drummond & Sarah L. Vowler
J Physiol 590, 1303–1306 (2012)
Exp Physiol 97, 433–437 (2012)
Comparisons of more than two groups: the basis of analysis of variance.

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Categorized or continuous? Strength of an association – and linear regression
Gordon B. Drummond & Sarah L. Vowler
J Physiol 590, 2061–2064 (2012)
Exp Physiol 97, 557–561 (2012)
Investigating and evaluating a relationship between two variables.

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Variation: use it or misuse it – replication and its variants
Gordon B. Drummond & Sarah L. Vowler
J Physiol 590, 2539–2542 (2012)
Exp Physiol 97, 689–692 (2012)
Several samples from one animal will have less variance than several samples from different animals: pseudoreplication is a danger in analysis.

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Making do with what we have: use your bootstraps
Guillaume Calmettes, Gordon B. Drummond & Sarah L. Vowler
J Physiol 590, 3403–3406 (2012)
Exp Physiol 97, 995–998 (2012)
Modern methods for data analysis require fewer assumptions about the data.

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Type I: families, planning and errors
Gordon B. Drummond & Sarah L. Vowler
J Physiol 590, 4971–4974 (2012)
Exp Physiol 98, 3–6 (2013)
Multiple tests require corrected significance levels: familywise tests are needed.

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Not different is not the same as the same: how can we tell?
Gordon B. Drummond & Sarah L. Vowler
J Physiol 590, 5257–5260 (2012)
Exp Physiol 98, 351–354 (2013)
An introduction to the concept of the power of a test to conclude a negative result.

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Do as you would be done by: write as you would wish to read
Gordon B. Drummond & Sarah L. Vowler
J Physiol 590, 6251–6254 (2012)
Exp Physiol 98, 355–358 (2013)
An overview of essentials of study design, analysis, and data presentation.

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