Four simple ways to increase power without increasing the sample size

Big names in statistics want to shake up much-maligned P value

(2017) Dalmeet Singh Chawla   NATURE

Randomized Block Experimental Designs Can Increase the Power and Reproducibility of Laboratory Animal Experiments

(2014) M. F. W. Festing   ILAR JOURNAL

Biomedical research: increasing value, reducing waste

(2014) Malcolm R Macleod et al.   LANCET

Increasing value and reducing waste in research design, conduct, and analysis

(2014) John P A Ioannidis et al.   LANCET

Scientific method: Statistical errors

(2014) Regina Nuzzo   NATURE

A Common Control Group - Optimising the Experiment Design to Maximise Sensitivity

(2014) Simon Bate et al.   PLoS One

Effects of categorization method, regression type, and variable distribution on the inflation of Type-I error rate when categorizing a confounding variable

(2014) Jean-Louis Barnwell-Ménard et al.   STATISTICS IN MEDICINE

Improving basic and translational science by accounting for litter-to-litter variation in animal models

(2013) Stanley E Lazic et al.   BMC NEUROSCIENCE

Inflation of correlation in the pursuit of drug-likeness

(2013) Peter W. Kenny et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

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

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

Revised standards for statistical evidence

(2013) V. E. Johnson   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Comment on "Stress in Puberty Unmasks Latent Neuropathological Consequences of Prenatal Immune Activation in Mice"

(2013) S. E. Lazic   SCIENCE

Against quantiles: categorization of continuous variables in epidemiologic research, and its discontents

(2012) Caroline Bennette et al.   BMC Medical Research Methodology

Current sample size conventions: Flaws, harms, and alternatives

(2010) Peter Bacchetti   BMC Medicine

Why Most Discovered True Associations Are Inflated

(2008) John P. A. Ioannidis   EPIDEMIOLOGY

Leave ‘em Alone – Why Continuous Variables Should Be Analyzed as Such

(2008) Carl van Walraven et al.   NEUROEPIDEMIOLOGY

Consequences of dichotomization

(2008) Valerii Fedorov et al.   PHARMACEUTICAL STATISTICS