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Interpretation of correlations in clinical research.

Authors
  • Hung, Man1
  • Bounsanga, Jerry1
  • Voss, Maren Wright1
  • 1 a Department of Orthopaedic Surgery Operations , University of Utah , Salt Lake City , UT , USA.
Type
Published Article
Journal
Postgraduate medicine
Publication Date
Nov 01, 2017
Volume
129
Issue
8
Pages
902–906
Identifiers
DOI: 10.1080/00325481.2017.1383820
PMID: 28936887
Source
Medline
Keywords
License
Unknown

Abstract

Critically analyzing new evidence requires statistical knowledge in addition to clinical knowledge. Studies can overstate relationships, expressing causal assertions when only correlational evidence is available. Failure to account for the effect of sample size in the analyses tends to overstate the importance of predictive variables. It is important not to overemphasize the statistical significance without consideration of effect size and whether differences could be considered clinically meaningful.

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