Literature DB >> 24372634

Interpretation of commonly used statistical regression models.

Jessica Kasza1, Rory Wolfe.   

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.
© 2013 The Authors. Respirology © 2013 Asian Pacific Society of Respirology.

Keywords:  linear model; logistic model; ordinal logistic model; regression analysis.

Mesh:

Year:  2014        PMID: 24372634     DOI: 10.1111/resp.12221

Source DB:  PubMed          Journal:  Respirology        ISSN: 1323-7799            Impact factor:   6.424


  3 in total

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Authors:  Yingfan Mao; Jincheng Wang; Yong Zhu; Jun Chen; Liang Mao; Weiwei Kong; Yudong Qiu; Xiaoyan Wu; Yue Guan; Jian He
Journal:  Hepatobiliary Surg Nutr       Date:  2022-02       Impact factor: 7.293

2.  A Panel of rSNPs Demonstrating Allelic Asymmetry in Both ChIP-seq and RNA-seq Data and the Search for Their Phenotypic Outcomes through Analysis of DEGs.

Authors:  Elena E Korbolina; Leonid O Bryzgalov; Diana Z Ustrokhanova; Sergey N Postovalov; Dmitry V Poverin; Igor S Damarov; Tatiana I Merkulova
Journal:  Int J Mol Sci       Date:  2021-07-06       Impact factor: 5.923

3.  Identification of D Modification Sites Using a Random Forest Model Based on Nucleotide Chemical Properties.

Authors:  Huan Zhu; Chun-Yan Ao; Yi-Jie Ding; Hong-Xia Hao; Liang Yu
Journal:  Int J Mol Sci       Date:  2022-03-11       Impact factor: 5.923

  3 in total

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