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统计医学:一门新兴的医学专业。

Statistical medicine: An emerging medical specialty.

作者信息

Indrayan A

机构信息

Former Professor & Head, Department of Biostatistics and Medical Informatics, University College of Medical Sciences, Delhi, India.

出版信息

J Postgrad Med. 2017 Oct-Dec;63(4):252-256. doi: 10.4103/jpgm.JPGM_189_17.

DOI:10.4103/jpgm.JPGM_189_17
PMID:29022563
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5664870/
Abstract

A large number of statistical tools are now used for medical decision in the core activities of diagnosis, treatment and prognosis. These tools provide undeniable help in improving medical outcomes. Prominent among them are uncertainty measurement by probability, medical indicators and indexes, reference ranges, and scoring systems. In addition are tools such as odds ratio, sensitivity, specificity and predictivities, area under the ROC curve, likelihood ratios, and cost-benefit analysis that are commonly applied in medical research but have implications for day-to-day clinical activities. These tools have so completely integrated into medical practice that statistical medicine by itself can stand alone as a medical specialty. Time has arrived to recognize statistical medicine as a medical specialty.

摘要

现在,大量统计工具被用于诊断、治疗和预后等核心医疗决策活动中。这些工具在改善医疗结果方面提供了不可否认的帮助。其中突出的有通过概率进行的不确定性测量、医学指标和指数、参考范围以及评分系统。此外,诸如比值比、敏感性、特异性和预测性、ROC曲线下面积、似然比以及成本效益分析等工具在医学研究中普遍应用,且对日常临床活动也有影响。这些工具已完全融入医疗实践,以至于统计医学自身就可作为一个医学专科独立存在。现在是将统计医学视为一个医学专科的时候了。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/542e/5664870/4e2f8a5c6df4/JPGM-63-252-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/542e/5664870/4e2f8a5c6df4/JPGM-63-252-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/542e/5664870/4e2f8a5c6df4/JPGM-63-252-g001.jpg

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