Online Program

Applications using Longitudinal Health Data

Tuesday, November 3, 2015: 8:30 a.m. - 10:00 a.m.
This session will provide a discussion of current issues in longitudinal data analysis as applied to public health data. Novel techniques will be compared and discussed.
Session Objectives: Describe current issues in longitudinal data analysis, as applied to public health data.

Predicting 1-year Mortality in elderly Patients with Diabetes   
Yu-Kang Chang, Postdoc, Li-Feng Huang, MS, Jia-Sin Liu, MS and Chih-Cheng Hsu, MD
Statistical Modeling of Longitudinal Data with Multiple Structural Change Points   
Purna Mukhopadhyay, PhD, Marc Turenne, PhD, Jeffrey Pearson, MS, Elizabeth Cope, PhD, Chad Cogan, MS, Regina Baker, PhD and Brenda Gillespie, Ph.D
Joint Modeling of Spatial-Longitudinal Binary and Count Data Using Multilevel and Multiresolution Random Effects for Large Data Sets   
Rajib Paul, PhD, Amy B. Curtis, PhD, MPH, Kathleen Baker, PhD and Monica Kwasnik, MA

See individual abstracts for presenting author's disclosure statement and author's information.

Organized by: Applied Public Health Statistics
Endorsed by: Injury Control and Emergency Health Services, APHA-Committee on Women's Rights