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. 2009:2009:952042.
doi: 10.1155/2009/952042. Epub 2009 Mar 25.

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

George Antonogeorgos  1 , Demosthenes B Panagiotakos, Kostas N Priftis, Anastasia Tzonou
Affiliations

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

George Antonogeorgos et al. Int J Pediatr. 2009.

Abstract

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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Figures

Figure 1
Figure 1
Receiver operating characteristics (ROC) curves for the discriminant analysis and logistic regression models.
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