Impact of redefining statistical significance on P-hacking and false positive rates: An agent-based model

Impact of redefining statistical significance on P-hacking and false positive rates: An agent-based model

In recent years, concern has grown about the inappropriate application and interpretation of P values, especially the use of P

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2024-05, Vol.19 (5), p.e0303262-e0303262
Hauptverfasser: Fitzpatrick, Ben G, Gorman, Dennis M, Trombatore, Caitlin
Format: Artikel
Sprache:eng
Schlagworte:
Agent-based models
Analysis
Biology and Life Sciences
Data analysis
Data Interpretation, Statistical
False Positive Reactions
Humans
Hypotheses
Information sharing
Laboratories
Medical research
Medicine and Health Sciences
Models, Statistical
Orthopedics
Physical Sciences
Research and Analysis Methods
Science
Social Sciences
Statistical significance
Statistics
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In recent years, concern has grown about the inappropriate application and interpretation of P values, especially the use of P
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0303262