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Reporting on statistical methods to adjust for confounding: a cross-sectional survey.

Abstract:

BACKGROUND: The use of complex statistical models to adjust for confounding is common in medical research. OBJECTIVE: To determine the frequency and adequacy of adjustment for confounding in medical articles. DESIGN: Cross-sectional survey. SETTING: 34 scientific medical journals with a high impact factor. MEASUREMENTS: Frequency of reporting on methods used to adjust for confounding in 537 original research articles published in January 1998. RESULTS: Of the 537 articles, 169 specified that...

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Publication status:
Published

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Authors


Müllner, M More by this author
Matthews, H More by this author
Altman, DG More by this author
Journal:
Annals of internal medicine
Volume:
136
Issue:
2
Pages:
122-126
Publication date:
2002-01-05
DOI:
EISSN:
1539-3704
ISSN:
0003-4819
URN:
uuid:c4bd4567-52cf-4a26-9e72-856dda1c6fed
Source identifiers:
317918
Local pid:
pubs:317918

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