Table of Contents Author Guidelines Submit a Manuscript
International Journal of Pediatrics
Volume 2009, Article ID 952042, 6 pages
Clinical Study

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

1Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, 75 Mikras Asias Street, 11527 Athens, Greece
2Department of Dietetics and Nutritional Science, Harokopio University of Athens, 70 El. Benizelou Street, 17671 Athens, Greece
3Department of Allergy-Pneumonology, Penteli Children's Hospital, 15236 Palaia Penteli, Greece

Received 6 November 2008; Accepted 17 February 2009

Academic Editor: Dharmapuri Vidyasagar

Copyright © 2009 George Antonogeorgos et al. 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.


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.