JSM 2014 Home
Online Program Home
My Program

Abstract Details

Activity Number: 134
Type: Contributed
Date/Time: Monday, August 4, 2014 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract #312438 View Presentation
Title: Joint Modeling and Clustering Paired Generalized Longitudinal Trajectories
Author(s): Hui Huang*+ and Yongtao Guan and Yehua Li
Companies: Peking University and University of Miami and Iowa State University
Keywords: clustering ; functional data analysis ; exponential family ; joint modeling ; EM algorithm ; spline
Abstract:

In a cocaine dependence treatment study, we have paired binary longitudinal trajectories that record the cocaine use patterns of each patient before and after a treatment. To better understand the drug-using behaviors among the patients, we propose a general framework based on functional data analysis to jointly model and cluster these paired non-Gaussian longitudinal trajectories. Our approach assumes that the response variables follow distributions from the exponential family, with the canonical parameters determined by some latent Gaussian processes. The latent processes are expressed using Karhunen-Loeve expansion, and we allow the mean and covariance functions to be different across clusters. These functions are further represented by flexible spline bases, and the dimensionality of the covariance functions is reduced via functional principal component analysis. Treating the membership as a random effect, we cluster the cocaine use trajectories by a likelihood-based approach. The cluster membership and parameter estimates are iteratively updated through a Monte Carlo EM algorithm, and we discover subgroups of patients with distinct behaviors in terms of overall probability to


Authors who are presenting talks have a * after their name.

Back to the full JSM 2014 program




2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.