Using latent class growth analysis to identify childhood wheeze phenotypes in an urban birth cohort.

Abstract

This is the first application of LCGA to identify wheeze phenotypes in asthma research.

Unlike other methods, this modeling technique can accommodate questionnaire data collected at irregularly spaced age intervals and can simultaneously identify multiple trajectories of health outcomes and associations with time-invariant and time-varying causative factors.

Full Text

DOI - Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology (DOI)
UK PubMed Central - full-text online
PubMed Central - full-text online
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PubMed Central Canada - full-text online

Subjects

Authors

Publication date

2012-04-30

Journal

Annals of allergy, asthma & immunology
Ann Allergy Asthma Immunol (1534-4436)

Journal topics

Language

Eng.

Copyright

Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology

Department of Biostatistics, Mailman School of Public Health, Columbia University, 722 W 168th St., New York, NY 10032, USA. qc2138 [at] columbia.edu

Release reference

Ann Allergy Asthma Immunol. 2012 May;108(5):311-315.e1