Müllner Marcus, Matthews Hugh, Altman Douglas G
Universitätsklinik für Notfallmedizin, Allgemeines Krankenhaus Wien, Währinger Gürtel 18-20/6D, A-1090 Vienna, Austria.
Ann Intern Med. 2002 Jan 15;136(2):122-6. doi: 10.7326/0003-4819-136-2-200201150-00009.
The use of complex statistical models to adjust for confounding is common in medical research.
To determine the frequency and adequacy of adjustment for confounding in medical articles.
Cross-sectional survey.
34 scientific medical journals with a high impact factor.
Frequency of reporting on methods used to adjust for confounding in 537 original research articles published in January 1998.
Of the 537 articles, 169 specified that adjustment for confounding was used. In 1 paper in 10, it was unclear which statistical method was used or for which variables adjustment was made. In 45% of papers, it was not clear how multicategory or continuous variables were treated in the analysis. Inadequate reporting was less frequent if an author was affiliated with a department of statistics, epidemiology, or public health and if articles were published in journals with a high impact factor.
Details of methods used to adjust for confounding are frequently not reported in original research articles.
在医学研究中，使用复杂的统计模型来调整混杂因素很常见。
确定医学文章中对混杂因素进行调整的频率和充分性。
横断面调查。
34种具有高影响因子的科学医学期刊。
1998年1月发表的537篇原创研究文章中报告用于调整混杂因素方法的频率。
在537篇文章中，169篇明确指出使用了混杂因素调整。每10篇文章中有1篇不清楚使用了哪种统计方法或对哪些变量进行了调整。在45%的文章中，不清楚在分析中如何处理多类别或连续变量。如果作者隶属于统计学、流行病学或公共卫生系，并且文章发表在具有高影响因子的期刊上，报告不充分的情况则较少见。
原创研究文章中经常未报告用于调整混杂因素的方法细节。
