观察性研究中的logistic回归分析思路

冯国双

Abstract

冯国双.观察性研究中的logistic回归分析思路[J].Chinese journal of Epidemiology,2019,40(8):1006-1009

观察性研究中的logistic回归分析思路

Logistic regression analysis in observational study

Received:March 28, 2019

DOI：10.3760/cma.j.issn.0254-6450.2019.08.025

KeyWord: Logistic回归病例对照研究队列研究

English Key Word: Logistic regression Case-control study Cohort study

FundProject:北航-首医大数据精准医疗高精尖创新中心计划（BHME-201901）

Author Name	Affiliation	E-mail
Feng Guoshuang	Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Big Data and Engineering Research Center, Beijing 100045, China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University/Capital Medical University, Beijing 100083, China	glxfgsh@163.com

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Abstract:

Logistic回归是流行病学研究中常用的方法，然而在实际分析时往往只考虑数据，而不考虑设计，容易导致一些误导性结果和结论。本文主要结合观察性研究的设计目的，探讨logistic回归分析中的具体思路，为logistic回归的实际应用提供借鉴。

English Abstract:

Logistic regression has been recognized as a commonly used method in epidemiological studies. However, in practice, many people only consider ‘data’ rather than ‘study design’ as important issue when working on the analysis, which may easily lead to some misleading results and conclusions. Based on the purpose of observational research during the design of the study, this paper discusses the specific ideas in logistic regression analysis, and provides references for the practical application when logistic regression method is used.

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