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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 361
Type: Invited
Date/Time: Wednesday, August 1, 2007 : 8:30 AM to 10:20 AM
Sponsor: WNAR
Abstract - #308115
Title: Flexible Modeling of the Mean and Covariance Structure for Heterogeneous Incomplete Multiple Longitudinal Markers
Author(s): W. John Boscardin*+ and Hector Lemus
Companies: University of California, Los Angeles and University of California, Los Angeles
Address: 51-254 Center for Health Sciences, Biostatistics, Los Angeles, CA, 90095-1772,
Keywords: Kalman filter ; Wishart
Abstract:

We model multivariate longitudinal data on multiple subjects using a state space smoothing spline approach. The covariance parameters for the state space model are subject-specific and time-varying so as to allow for arbitrary heterogeneity, but are modeled hierarchically to facilitate borrowing of information across subjects and across time to the extent supported by the data. The performance and applicability of this model is highlighted using intensive care unit data from head trauma patients.

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Revised September, 2007