ORIGINAL RESEARCH ARTICLE | OPEN ACCESS DOI: 10.23937/2469-5831/1510021
A Comparative Study of Three Classification Procedures: Asthma among Healthcare Professionals in Texas
Dejian Lai1,4*, Ahmed A Arif2, Haiyun Xu3 and George L Delclos4
1Department of Biostatistics and Data Science, The University of Texas School of Public Health, Houston, Texas, USA
2Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
3Faculty of Statistics, Jiangxi University of Finance and Economics, Nanchang, China
4Southwest Center for Occupational and Environmental Health, The University of Texas School of Public Health, Houston, Texas, USA
Abstract
Statistical classification analysis has been widely used in many fields. In this article, we applied and compared three different classification procedures: Logistic regression, Fisher''s linear discriminant function and the second order Bahadur representation to two datasets from two surveys on asthma among healthcare professional in Texas. The first dataset contained 102 subjects and the second dataset 2963. The concordance of the classification from the three statistical procedures with possible asthma identified by physician and airway responsiveness to methacholine challenge was assessed through Cohen's κ statistic via a series of 2 × 2 contingency tables.