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