常用统计回归模型解读。

Interpretation of commonly used statistical regression models.

机构信息

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Victorian Centre for Biostatistics (ViCBiostat), Melbourne, Victoria, Australia.

出版信息

Respirology. 2014 Jan;19(1):14-21. doi: 10.1111/resp.12221.

DOI:10.1111/resp.12221

PMID:24372634

Abstract

A review of some regression models commonly used in respiratory health applications is provided in this article. Simple linear regression, multiple linear regression, logistic regression and ordinal logistic regression are considered. The focus of this article is on the interpretation of the regression coefficients of each model, which are illustrated through the application of these models to a respiratory health research study.

摘要

本文综述了一些常用于呼吸健康应用的回归模型，包括简单线性回归、多元线性回归、逻辑回归和有序逻辑回归。本文的重点是解释每个模型的回归系数，通过将这些模型应用于一项呼吸健康研究来举例说明。