Pitfalls of significance testing and \(p\)-value variability: an econometrics perspective

DOI10.1214/18-SS122zbMath1454.62084OpenAlexW2894649661MaRDI QIDQ1622022

Sven Grüner, Oliver Mußhoff, Norbert Hirschauer, Claudia Becker

Publication date: 12 November 2018

Published in: Statistics Surveys (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ssu/1538618436

zbMATH Keywords

statistical inferencemultiple testingstatistical significancemeta-analysispublication bias\(p\)-hacking\(p\)-value misinterpretations\(p\)-value sample-to-sample variability

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Foundations and philosophical topics in statistics (62A01) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Paired and multiple comparisons; multiple testing (62J15)

Related Items (1)

Can \(p\)-values be meaningfully interpreted without random sampling?

Uses Software

• R
• multcomp
• LePAC

Cites Work

• The synthesis of regression slopes in meta-analysis
• The significance test controversy revisited. The fiducial Bayesian alternative
• Modifications of the Bonferroni-Holm procedure for a multi-way ANOVA
• Linear public goods experiments: a meta-analysis
• Basic concepts of multiple tests -- a survey
• Publication Bias in Meta‐Analysis
• Statistical Meta‐Analysis with Applications
• Introduction to Meta‐Analysis
• Hierarchical Selection Models With Applications in Meta-Analysis
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Pitfalls of significance testing and \(p\)-value variability: an econometrics perspective