Cited by 222Meta-analysis and systematic reviewsStatistical Methods in EpidemiologyHealth Sciences Research and Education

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Effect of interpretive bias on research evidence

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Kaptchuk, Ted J·2003·BMJ

DOI 10.1136/bmj.326.7404.1453PMC PMC1126323

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Abstract

Doctors are being encouraged to improve their critical appraisal skills to make better use of medical research. But when using these skills, it is important to remember that interpretation of data is inevitably subjective and can itself result in bias.

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Authors: Kaptchuk, T. J.
Affiliations: Harvard University (US)
Corresponding author: Kaptchuk, Ted J
ORCID: Kaptchuk, Ted J
Venue: BMJ
Publisher: BMJ
Published: 2003-06-25
Volume: 326
Issue: 7404
Pages: 1453-1455
ISSN: 0007-1447 (ISSN-L)
0959-8138
1468-5833
DOI: 10.1136/bmj.326.7404.1453
PMC: PMC1126323
OpenAlex: W2101782914
Cited by: 222
References: 23
Citations by year: 2026: 1 · 2025: 9 · 2024: 7 · 2023: 5 · 2022: 12 · 2021: 13 · 2020: 14 · 2019: 9 · 2018: 22 · 2017: 12 · 2016: 12 · 2015: 11 · 2014: 8 · 2013: 6 · 2012: 14
FWCI: 7.76
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.bmj.com/company/legal-information/terms-conditions/legal-information/tdm-licencepolicy (tdm)
Locations: BMJ (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
DigitalGeorgetown (Georgetown University Library) (submittedVersion)
Funders: National Institutes of Health (5r01at000402-04)
National Center for Complementary and Integrative Health (1R01 AT00402-01, R01AT001414)
Topics: Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
Keywords: interpretation bias, critical appraisal
MeSH terms: Data Interpretation, Statistical, Quality Control, Research, Reproducibility of Results, Bias

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