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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: 24
Type: Contributed
Date/Time: Sunday, July 29, 2007 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #310181
Title: A Comparison of Mixed Effect Models and Cox Proportional Hazard Models for Unbalanced Longitudinal Data
Author(s): Wonsuk Yoo*+ and Dennis Tsilimingras and John M. Flack
Companies: Wayne State University and Wayne State University and Wayne State University
Address: 4201 St Antoine St UHC 4H, Detroit, MI, 48201,
Keywords: longitudinal data ; unbalanced intervals ; mixed effect model ; Cox proportional hazard model ; time dependent covariates ; MedTrace
Abstract:

There has been huge development in research of hypertension and cardiovascular disease area during last ten years. Most research shows that they provided clinical and epidemiologic evidence between time-dependent blood pressure levels and various study subjects of interest. Even though there has been much research including various endpoint and analysis methods, many studies had used two statistical models including mixed effect models and Cox proportional hazard models with different risk factors as their covariates. This research compare mixed effect models and Cox proportional hazard models with important differences of statistical results due to association among risk factors, unbalanced intervals between visits, and different endpoints. We use MEDTRACE (The Medical Education, Tracking, Reporting and Clinical Evaluation) data, a HIPAA compliant electronic health record.


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Revised September, 2007