Division of Biostatistics and Epidemiology, Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, U.S.A.
Stat Med. 2013 Jan 15;32(1):1-10. doi: 10.1002/sim.5311. Epub 2012 Mar 13.
Novel statistical methods are constantly being developed within the context of biomedical research; however, the characteristics of biostatistics methods that have been adopted into the field of general/internal medicine (GIM) is unclear. This study highlights the statistical journal articles, the statistical journals, and the types of statistical methods that appear to be having the most direct impact on GIM research.
Descriptive techniques, including analyses of articles' keywords and controlled vocabulary terms, were used to characterize the articles published in statistics and probability journals that were subsequently referenced within GIM journal articles during a recent 10-year period (2000-2009).
From the 45 statistics and probability journals of interest, a total of 989 unique articles were identified as being cited by 2183 (out of a total of about 127 469) unique GIM journal articles. The most frequently cited statistical topics included general/other statistical methods, followed by randomized trials, epidemiologic methods, meta-analysis, generalized linear models, and computer simulation.
As statisticians continue to develop and refine techniques, the promotion and adoption of these methods should also be addressed so that their efforts spent in developing the methods are not done in vain.
新的统计方法在生物医学研究的背景下不断发展;然而,被纳入一般/内科(GIM)领域的生物统计学方法的特点尚不清楚。本研究强调了对 GIM 研究似乎有最直接影响的统计期刊文章、统计期刊和统计方法类型。
描述性技术,包括对文章关键词和受控词汇术语的分析,用于描述在最近 10 年(2000-2009 年)期间在统计学和概率论期刊上发表的文章,这些文章随后被 GIM 期刊文章引用。
在所关注的 45 种统计学和概率论期刊中,共有 989 篇独特的文章被 2183 篇(总共约 127469 篇)独特的 GIM 期刊文章引用。最常被引用的统计主题包括一般/其他统计方法,其次是随机试验、流行病学方法、荟萃分析、广义线性模型和计算机模拟。
随着统计学家继续开发和完善技术,也应解决这些方法的推广和采用问题,以免他们在开发方法上的努力付诸东流。