Use of statistical analysis in the biomedical informatics literature
Use of statistical analysis in the biomedical informatics literature
复制标题
DOI：
10.1197/jamia.m2853
复制
发表时间：
2010-01-01
影响因子：
6.4
通讯作者：
Shiffman, Richard
中科院分区：
文献类型：
--
作者：
Scotch, Matthew;Duggal, Mona;Shiffman, Richard
统计学是生物医学信息学的一个重要方面。为了研究统计学在信息学研究中的应用，对两种高影响因子生物医学信息学期刊《美国医学信息学协会杂志》（JAMIA）和《国际医学信息学杂志》的最新文章进行了文献综述。对每篇论文中统计方法的使用进行了审查。回顾了2000年至2007年的原始研究文章。对于每个期刊，统计方法的结果分析为：描述性，基本，多变量，其他回归，机器学习和其他统计。对于这两种期刊，最常用的是描述性统计。基本统计学，如t检验，chi（2）和Wilcoxon检验在JAMIA中更常见，而机器学习方法，如决策树和支持向量机在期刊中的发生率相似。此外，在JAMIA中使用诊断统计数据（如灵敏度、特异性、精确度和召回率）的频率更高。这些结果突出了使用统计信息学和生物医学信息科学家的需要，作为一个最低限度，熟练掌握描述性和基本的统计。
Statistics is an essential aspect of biomedical informatics. To examine the use of statistics in informatics research, a literature review of recent articles in two high-impact factor biomedical informatics journals, the Journal of American Medical informatics Association (JAMIA) and the International Journal of Medical informatics was conducted. The use of statistical methods in each paper was examined. Articles of original investigations from 2000 to 2007 were reviewed. For each journal, the results by statistical methods were analyzed as: descriptive, elementary, multivariable, other regression, machine learning, and other statistics. For both journals, descriptive statistics were most often used. Elementary statistics such as t tests, chi(2), and Wilcoxon tests were much more frequent in JAMIA, while machine learning approaches such as decision trees and support vector machines were similar in occurrence across the journals. Also, the use of diagnostic statistics such as sensitivity, specificity, precision, and recall, was more frequent in JAMIA. These results highlight the use of statistics in informatics and the need for biomedical informatics scientists to have, as a minimum, proficiency in descriptive and elementary statistics.