Document Detail

Interpretation of commonly used statistical regression models.
MedLine Citation:
PMID:  24372634     Owner:  NLM     Status:  In-Data-Review    
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.
Jessica Kasza; Rory Wolfe
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Respirology (Carlton, Vic.)     Volume:  19     ISSN:  1440-1843     ISO Abbreviation:  Respirology     Publication Date:  2014 Jan 
Date Detail:
Created Date:  2013-12-30     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9616368     Medline TA:  Respirology     Country:  Australia    
Other Details:
Languages:  eng     Pagination:  14-21     Citation Subset:  IM    
Copyright Information:
© 2013 The Authors. Respirology © 2013 Asian Pacific Society of Respirology.
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