Ten common statistical mistakes to watch out for when writing or reviewing a manuscript

COMPare: a prospective cohort study correcting and monitoring 58 misreported trials in real time

(2019) Ben Goldacre et al.   Trials

The annual cannabis holiday and fatal traffic crashes

(2019) Sam Harper et al.   INJURY PREVENTION

Moving to a World Beyond “p 

(2019) Ronald L. Wasserstein et al.   AMERICAN STATISTICIAN

Putting the P-Value in its Place

(2019) Joachim I. Krueger et al.   AMERICAN STATISTICIAN

Correcting Corrupt Research: Recommendations for the Profession to Stop Misuse of p-Values

(2019) John L. Kmetz   AMERICAN STATISTICIAN

Assessing the Statistical Analyses Used in Basic and Applied Social Psychology After Their p-Value Ban

(2019) Ronald D. Fricker et al.   AMERICAN STATISTICIAN

The New Statistics for Better Science: Ask How Much, How Uncertain, and What Else Is Known

(2019) Robert J. Calin-Jageman et al.   AMERICAN STATISTICIAN

Rein in the four horsemen of irreproducibility

(2019) Dorothy Bishop   NATURE

Unit of analysis issues in laboratory-based research

(2018) Nick R Parsons et al.   eLife

Why we need to report more than 'Data were Analyzed by t-tests or ANOVA'

(2018) Tracey L Weissgerber et al.   eLife

Balancing Type I error and power in linear mixed models

(2017) Hannes Matuschek et al.   JOURNAL OF MEMORY AND LANGUAGE

Evaluating methods of correcting for multiple comparisons implemented in SPM12 in social neuroscience fMRI studies: an example from moral psychology

(2017) Hyemin Han et al.   Social Neuroscience

Harms of outcome switching in reports of randomised trials: CONSORT perspective

(2017) Douglas G Altman et al.   BMJ-British Medical Journal

Harms of outcome switching in reports of randomised trials: CONSORT perspective

(2017) Douglas G Altman et al.   BMJ-British Medical Journal

Detecting and avoiding likely false-positive findings - a practical guide

(2016) Wolfgang Forstmeier et al.   BIOLOGICAL REVIEWS

Comparing dependent robust correlations

(2016) Rand R. Wilcox   BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY

Why Is the One-Group Pretest–Posttest Design Still Used?

(2016) Thomas R. Knapp   Clinical Nursing Research

1,500 scientists lift the lid on reproducibility

(2016) Monya Baker   NATURE

The anova to mixed model transition

(2016) Matthieu P. Boisgontier et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates

(2016) Anders Eklund et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Publication bias and the canonization of false facts

(2016) Silas Boye Nissen et al.   eLife

A Bayesian Perspective on the Reproducibility Project: Psychology

(2016) Alexander Etz et al.   PLoS One

Estimating the reproducibility of psychological science

(2015)   SCIENCE

Promoting an open research culture

(2015) B. A. Nosek et al.   SCIENCE

Evidence of Experimental Bias in the Life Sciences: Why We Need Blind Data Recording

(2015) Luke Holman et al.   PLOS BIOLOGY

An investigation of the false discovery rate and the misinterpretation of p-values

(2014) D. Colquhoun   Royal Society Open Science

Bias in a common EEG and MEG statistical analysis and how to avoid it

(2013) J.M. Kilner   CLINICAL NEUROPHYSIOLOGY

Post-hoc data analysis

(2013) Douglas Curran-Everett et al.   Current Opinion in Allergy and Clinical Immunology

Replication, statistical consistency, and publication bias

(2013) Gregory Francis   JOURNAL OF MATHEMATICAL PSYCHOLOGY

Does Chocolate Consumption Really Boost Nobel Award Chances? The Peril of Over-Interpreting Correlations in Health Studies

(2013) Pierre Maurage et al.   JOURNAL OF NUTRITION

Power failure: why small sample size undermines the reliability of neuroscience

(2013) Katherine S. Button et al.   NATURE REVIEWS NEUROSCIENCE

Improving standards in brain-behavior correlation analyses

(2012) Guillaume A. Rousselet et al.   Frontiers in Human Neuroscience

How to identify science being bent: The tobacco industry's fight to deny second-hand smoking health hazards as an example

(2012) Kenneth Rochel de Camargo   SOCIAL SCIENCE & MEDICINE

Erroneous analyses of interactions in neuroscience: a problem of significance

(2011) Sander Nieuwenhuis et al.   NATURE NEUROSCIENCE

Everything You Never Wanted to Know about Circular Analysis, but Were Afraid to Ask

(2010) Nikolaus Kriegeskorte et al.   JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

Statistical and clinical significance, and how to use confidence intervals to help interpret both

(2010) Judith Fethney   Australian Critical Care

Explorations in statistics: the bootstrap

(2009) Douglas Curran-Everett   ADVANCES IN PHYSIOLOGY EDUCATION

The Principle of Inverse Effectiveness in Multisensory Integration: Some Statistical Considerations

(2009) Nicholas P. Holmes   BRAIN TOPOGRAPHY

How does multiple testing correction work?

(2009) William S Noble   NATURE BIOTECHNOLOGY

Circular analysis in systems neuroscience: the dangers of double dipping

(2009) Nikolaus Kriegeskorte et al.   NATURE NEUROSCIENCE

Comparing a single case with a control sample: Refinements and extensions

(2009) Michael C. Corballis   NEUROPSYCHOLOGIA

The principled control of false positives in neuroimaging

(2009) Craig M. Bennett et al.   Social Cognitive and Affective Neuroscience

What errors do peer reviewers detect, and does training improve their ability to detect them?

(2008) Sara Schroter et al.   JOURNAL OF THE ROYAL SOCIETY OF MEDICINE