Statistical methods in Arthritis & Rheumatism -: Current trends
Statistical methods in Arthritis & Rheumatism -: Current trends
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DOI：
10.1002/art.22251
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发表时间：
2006-12-01
影响因子：
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通讯作者：
Kim, Mimi
中科院分区：
文献类型：
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作者：
Kim, Mimi
近年来，生物医学研究中使用的统计方法的普及程度和复杂性都有所增加。2004-2005年发表在《新英格兰医学杂志》（New England Journal of Medicine）上的大多数研究使用了复杂的统计方法，与前几年相比显著增加(1)。同样，20多年前，Felson等人(2)将1982年《关节炎与风湿病》（Arthritis & Rheumatism, A&R）的文章与1967年至1968年的文章进行了比较，得出结论：分析技术的数量和复杂程度大幅增加，但统计错误和方法滥用的数量也大幅增加。Felson及其同事的A&R调查是在最常见的简单分析（如t检验、卡方检验和线性回归）时进行的。从那时起，新的统计创新和软件程序激增，影响了风湿病研究的设计和分析方式。本文包括对2005年发表的A&R文章中使用的统计程序的评估，以及对一些先进统计方法的概述，并提供了最近文献中的示例。
The prevalence and complexity of statistical methods used in biomedical research have increased in recent years. The majority of studies reported in the New England Journal of Medicine in 2004–2005 used sophisticated statistical methods, a marked increase compared with prior years (1). Similarly, more than 20 years ago, Felson et al (2), comparing articles in Arthritis & Rheumatism (A&R) from 1982 with those from 1967 to 1968, concluded that the number and sophistication of analytical techniques had increased substantially, but so had the number of statistical errors and the misuse of methods.The A&R survey by Felson and colleagues was conducted when the most common analyses were simple, such as the t-test, chi-square test, and linear regression. New statistical innovations and software programs have proliferated since then, influencing how rheumatology studies are now designed and analyzed. This article includes an evaluation of statistical procedures used in A&R articles published in 2005 and an overview of some advanced statistical approaches, with examples from recent literature.