Conditional logistic regression

Koletsi, D; Pandis, Nikolaos (2017). Conditional logistic regression. American journal of orthodontics and dentofacial orthopedics, 151(6), 1191 -1192. Elsevier 10.1016/j.ajodo.2017.04.009

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In this article, we will describe how to analyze binary data from matched studies in orthodontics. We have previously discussed matched analysis for paired binary data (McNemar test), but now we will focus on the use of regression methods to model our data.1 The idea is the same as with simple logistic regression models for binary data2,3; however, we must remember that the observations are not independent, and participants in different treatment groups have been matched for at least 1 characteristic, and this must be taken into account in the analysis.

Item Type:

Journal Article (Review Article)

Division/Institute:

04 Faculty of Medicine > School of Dental Medicine > Department of Orthodontics

UniBE Contributor:

Pandis, Nikolaos

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0889-5406

Publisher:

Elsevier

Language:

English

Submitter:

Renate Imhof-Etter

Date Deposited:

18 Apr 2018 14:19

Last Modified:

18 Apr 2018 14:19

Publisher DOI:

10.1016/j.ajodo.2017.04.009

PubMed ID:

28554465

BORIS DOI:

10.7892/boris.114328

URI:

https://boris.unibe.ch/id/eprint/114328

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