4.6 Review

Beyond statistical significance: nuanced interpretations of statistically nonsignificant results were rare in Cochrane reviews- a metaepidemiological study

Related references

Note: Only part of the references are listed.
Editorial Material Obstetrics & Gynecology

Multiple comparisons: a tutorial. Part 1. Understanding hypothesis testing

Michael T. Lawson et al.

BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY (2021)

Review Health Care Sciences & Services

GRADE guidelines 26: informative statements to communicate the findings of systematic reviews of interventions

Nancy Santesso et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2020)

Editorial Material Multidisciplinary Sciences

Retire statistical significance

Valentin Amrhein et al.

NATURE (2019)

Article Statistics & Probability

Abandon Statistical Significance

Blakeley B. McShane et al.

AMERICAN STATISTICIAN (2019)

Article Psychology, Mathematical

Bayesian data analysis for newcomers

John K. Kruschke et al.

PSYCHONOMIC BULLETIN & REVIEW (2018)

Review Neurosciences

When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment

Denes Szucs et al.

FRONTIERS IN HUMAN NEUROSCIENCE (2017)

Article Public, Environmental & Occupational Health

Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations

Sander Greenland et al.

EUROPEAN JOURNAL OF EPIDEMIOLOGY (2016)

Article Nursing

The qualitative content analysis process

Satu Elo et al.

JOURNAL OF ADVANCED NURSING (2008)