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 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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Main Authors: George Antonogeorgos, Demosthenes B. Panagiotakos, Kostas N. Priftis, Anastasia Tzonou
Format: Article
Language:English
Published: Hindawi Limited 2009-01-01
Series:International Journal of Pediatrics
Online Access:http://dx.doi.org/10.1155/2009/952042
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spelling doaj-57e7e44fb2a24f4fa4471e0bcf14505c2020-11-24T21:07:34ZengHindawi LimitedInternational Journal of Pediatrics1687-97401687-97592009-01-01200910.1155/2009/952042952042Logistic 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 MethodsGeorge Antonogeorgos0Demosthenes B. Panagiotakos1Kostas N. Priftis2Anastasia Tzonou3Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, 75 Mikras Asias Street, 11527 Athens, GreeceDepartment of Dietetics and Nutritional Science, Harokopio University of Athens, 70 El. Benizelou Street, 17671 Athens, GreeceDepartment of Allergy-Pneumonology, Penteli Children's Hospital, 15236 Palaia Penteli, GreeceDepartment of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, 75 Mikras Asias Street, 11527 Athens, GreeceLogistic 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.http://dx.doi.org/10.1155/2009/952042
collection DOAJ
language English
format Article
sources DOAJ
author George Antonogeorgos
Demosthenes B. Panagiotakos
Kostas N. Priftis
Anastasia Tzonou
spellingShingle George Antonogeorgos
Demosthenes B. Panagiotakos
Kostas N. Priftis
Anastasia Tzonou
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
International Journal of Pediatrics
author_facet George Antonogeorgos
Demosthenes B. Panagiotakos
Kostas N. Priftis
Anastasia Tzonou
author_sort George Antonogeorgos
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_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_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_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
publisher Hindawi Limited
series International Journal of Pediatrics
issn 1687-9740
1687-9759
publishDate 2009-01-01
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.
url http://dx.doi.org/10.1155/2009/952042
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