The Division of Biostatistics at the Department of Preventive Medicine, UTHSC, invites you to attend the following seminar.
Time: Monday, May 6, 2:00 pm-3:00 pm CT
ZOOM Virtual Room Connection: Register in advance for this meeting
Seminar Website: https://www.eventcreate.com/e/biostatisticsseminar
Speaker Bio: https://usf.discovery.academicanalytics.com/scholar/599629/LU-YOU
Joint Modeling of Multivariate Nonparametric Longitudinal Data and Survival Data by A Local Smoothing Approach
Lu You, Ph.D.
Health Informatics Institute, University of South Florida, USA
In many clinical studies, evaluating the association between longitudinal and survival outcomes is of primary concern. For analyzing data from such studies, joint modeling of longitudinal and survival data becomes an appealing approach. In some applications, there are multiple longitudinal outcomes whose longitudinal pattern is difficult to describe by a parametric form. For such applications, existing research on joint modeling is limited. In this paper, we develop a novel joint modeling method to fill the gap. In the new method, a local polynomial mixed-effects model is used for describing the nonparametric longitudinal pattern of the multiple longitudinal outcomes. Two model estimation procedures, i.e., the local EM algorithm and the local penalized quasi-likelihood estimation, are explored. Practical guidelines for choosing tuning parameters and for variable selection are provided. The new method is justified by some theoretical arguments and numerical studies.