Latent class marginal regression models for modelling youthful drug involvement and its suspected influences.
In longitudinal behavioural studies, it is common to have multiple categorical indicators for measuring a theoretical construct of interest. A latent class model is presented that accounts for the structure in a set of correlated, categorical variables measured at discrete time periods, drawing information from these variables to form a smaller number of latent classes. The dependence of the resulting latent class model parameters on suspected factors over time is simultaneously modelled using a baseline-category logistic regression model. Estimation of the model parameters is achieved using an estimating equations procedure. A motivating example is provided from a longitudinal study of suspected linkages between monitoring or supervision by parents and the occurrence of drug use behaviours in an epidemiologic sample of school-attending youths.
Department of Public Health Sciences, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA. brebouss@wfubmc.edu
B A
BA
Reboussin
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JC
Anthony
D000293:Adolescent; D000428:Alcohol Drinking; D001519:Behavior; D002188:Cannabis; D002648:Child; D003198:Computer Simulation; D005260:Female; D006801:Humans; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D008960:Models, Psychological; D010287:Parent-Child Relations; D012044:Regression Analysis; D012907:Smoking; D019966:Substance-Related Disorders / Q000453:epidemiology / Q000523:psychology*