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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Language: | English |
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Wiley
2009-01-01
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Series: | International Journal of Pediatrics |
Online Access: | http://dx.doi.org/10.1155/2009/952042 |
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author | George Antonogeorgos Demosthenes B. Panagiotakos Kostas N. Priftis Anastasia Tzonou |
author_facet | George Antonogeorgos Demosthenes B. Panagiotakos Kostas N. Priftis Anastasia Tzonou |
author_sort | George Antonogeorgos |
collection | DOAJ |
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. |
format | Article |
id | doaj-art-57e7e44fb2a24f4fa4471e0bcf14505c |
institution | Kabale University |
issn | 1687-9740 1687-9759 |
language | English |
publishDate | 2009-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Pediatrics |
spelling | doaj-art-57e7e44fb2a24f4fa4471e0bcf14505c2025-02-03T06:44:27ZengWileyInternational 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 |
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 |
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 |
url | http://dx.doi.org/10.1155/2009/952042 |
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