Logistic Regression and Linear Discriminant Analyses in Evaluating Factors Associated with Asthma Prevalence among 10- to 12-Years-Old Children: Divergence and Similarity of the Two Statistical Methods

Logistic regression and discriminant analyses are both applied in order to predict the probability of a specific categorical outcome based upon several explanatory variables (predictors). The aim of this work is to evaluate the convergence of these two methods when they are applied in data from the...

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Autores principales: Antonogeorgos, George, Panagiotakos, Demosthenes B., Priftis, Kostas N., Tzonou, Anastasia
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2009
Materias:
Clinical Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798100/
https://www.ncbi.nlm.nih.gov/pubmed/20049344
http://dx.doi.org/10.1155/2009/952042
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author Antonogeorgos, George
Panagiotakos, Demosthenes B.
Priftis, Kostas N.
Tzonou, Anastasia
author_facet Antonogeorgos, George
Panagiotakos, Demosthenes B.
Priftis, Kostas N.
Tzonou, Anastasia
author_sort Antonogeorgos, George
collection PubMed
description Logistic regression and discriminant analyses are both applied in order to predict the probability of a specific categorical outcome based upon several explanatory variables (predictors). The aim of this work is to evaluate the convergence of these two methods when they are applied in data from the health sciences. For this purpose, we modeled the association of several factors with the prevalence of asthma symptoms with both the two methods and compared the result. In conclusion, logistic and discriminant analyses resulted in similar models.
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spelling pubmed-27981002010-01-04 Logistic Regression and Linear Discriminant Analyses in Evaluating Factors Associated with Asthma Prevalence among 10- to 12-Years-Old Children: Divergence and Similarity of the Two Statistical Methods Antonogeorgos, George Panagiotakos, Demosthenes B. Priftis, Kostas N. Tzonou, Anastasia Int J Pediatr Clinical Study Logistic regression and discriminant analyses are both applied in order to predict the probability of a specific categorical outcome based upon several explanatory variables (predictors). The aim of this work is to evaluate the convergence of these two methods when they are applied in data from the health sciences. For this purpose, we modeled the association of several factors with the prevalence of asthma symptoms with both the two methods and compared the result. In conclusion, logistic and discriminant analyses resulted in similar models. Hindawi Publishing Corporation 2009 2009-03-25 /pmc/articles/PMC2798100/ /pubmed/20049344 http://dx.doi.org/10.1155/2009/952042 Text en Copyright © 2009 George Antonogeorgos et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Study
Antonogeorgos, George
Panagiotakos, Demosthenes B.
Priftis, Kostas N.
Tzonou, Anastasia
Logistic Regression and Linear Discriminant Analyses in Evaluating Factors Associated with Asthma Prevalence among 10- to 12-Years-Old Children: Divergence and Similarity of the Two Statistical Methods
title Logistic Regression and Linear Discriminant Analyses in Evaluating Factors Associated with Asthma Prevalence among 10- to 12-Years-Old Children: Divergence and Similarity of the Two Statistical Methods
title_full Logistic Regression and Linear Discriminant Analyses in Evaluating Factors Associated with Asthma Prevalence among 10- to 12-Years-Old Children: Divergence and Similarity of the Two Statistical Methods
title_fullStr Logistic Regression and Linear Discriminant Analyses in Evaluating Factors Associated with Asthma Prevalence among 10- to 12-Years-Old Children: Divergence and Similarity of the Two Statistical Methods
title_full_unstemmed Logistic Regression and Linear Discriminant Analyses in Evaluating Factors Associated with Asthma Prevalence among 10- to 12-Years-Old Children: Divergence and Similarity of the Two Statistical Methods
title_short Logistic Regression and Linear Discriminant Analyses in Evaluating Factors Associated with Asthma Prevalence among 10- to 12-Years-Old Children: Divergence and Similarity of the Two Statistical Methods
title_sort logistic regression and linear discriminant analyses in evaluating factors associated with asthma prevalence among 10- to 12-years-old children: divergence and similarity of the two statistical methods
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798100/
https://www.ncbi.nlm.nih.gov/pubmed/20049344
http://dx.doi.org/10.1155/2009/952042
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