Abandon Statistical Significance

The Millennium Villages Project: a retrospective, observational, endline evaluation

(2018) Shira Mitchell et al.   Lancet Global Health

Statistical Significance and the Dichotomization of Evidence

(2017) Blakeley B. McShane et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Multilevel Multivariate Meta-analysis with Application to Choice Overload

(2017) Blakeley B. McShane et al.   PSYCHOMETRIKA

The earth is flat (p > 0.05): significance thresholds and the crisis of unreplicable research

(2017) Valentin Amrhein et al.   PeerJ

The ASA's Statement onp-Values: Context, Process, and Purpose

(2016) Ronald L. Wasserstein et al.   AMERICAN STATISTICIAN

Most of the time, P is an unreliable marker, so we need no exact cut-off

(2016) G.B. Drummond   BRITISH JOURNAL OF ANAESTHESIA

Underappreciated problems of low replication in ecological field studies

(2016) Nathan P. Lemoine et al.   ECOLOGY

Blinding Us to the Obvious? The Effect of Statistical Training on the Evaluation of Evidence

(2016) Blakeley B. McShane et al.   MANAGEMENT SCIENCE

Age-aggregation bias in mortality trends

(2016) Andrew Gelman et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The Statistical Crisis in Science

(2014) Andrew Gelman et al.   AMERICAN SCIENTIST

Adaptive revised standards for statistical evidence

(2014) L. Pericchi et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Revised evidence for statistical standards

(2014) A. Gelman et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Uniformly most powerful Bayesian tests

(2013) Valen E. Johnson   ANNALS OF STATISTICS

Revised standards for statistical evidence

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

Final Collapse of the Neyman-Pearson Decision Theoretic Framework and Rise of the neoFisherian

(2012) Stuart H. Hurlbert et al.   ANNALES ZOOLOGICI FENNICI

Living with Statistics in Observational Research

(2012) Sander Greenland et al.   EPIDEMIOLOGY