Document Detail


5 ways statistics can fool you-Tips for practicing clinicians.
MedLine Citation:
PMID:  23246309     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Published literature suggests that many clinicians are not fully equipped to evaluate and apply research reports for the care of their patients. In this article, we introduce and illustrate five basic statistical concepts that can significantly impact the interpretation of the medical literature and its application to the care of patients, drawing examples from the vaccine literature: (i) consider clinical and statistical significance separately, (ii) evaluate absolute risks rather than relative risks, (iii) examine confidence intervals rather than p values, (iv) use caution when considering isolated significant p values in the setting of multiple testing, and (v) keep in mind that statistically nonsignificant results may not exclude clinically important benefits or harms. These tips may help busy clinicians better interpret the increasingly overwhelming amount of medical literature they are faced with in their daily practices.
Authors:
Colin P West; Denise M Dupras
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-12-11
Journal Detail:
Title:  Vaccine     Volume:  -     ISSN:  1873-2518     ISO Abbreviation:  Vaccine     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2012-12-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8406899     Medline TA:  Vaccine     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012. Published by Elsevier Ltd.
Affiliation:
Division of General Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN, United States; Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States. Electronic address: west.colin@mayo.edu.
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