|
Activity Number:
|
387
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Wednesday, August 1, 2007 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Statistics in Epidemiology
|
| Abstract - #309319 |
|
Title:
|
Modeling a Cross-Sectional Response Variable with Longitudinal Predictors: An Example of Pulse Pressure and Pulse Wave Velocity
|
|
Author(s):
|
Veena Shetty*+ and Christopher Morrell and Samer S. Najjar
|
|
Companies:
|
National Institutes of Health and Loyola College in Maryland and National Institutes of Health
|
|
Address:
|
NIA, Labortaory of Cardiovascular Sciences, Baltimore, MD, 21224,
|
|
Keywords:
|
Mixed effects ; Linear regression ; Area under the curve
|
|
Abstract:
|
We wish to model pulse wave velocity (PWV) as a function of longitudinal measurements of pulse pressure (PP) at the same and prior visits at which the PWV is measured. A number of approaches are compared. First, we use the PP at the same visit as the PWV in a linear regression model. Next, the PP at the visit as well as the rate of change in PP are used to model PWV. An approach for using the longitudinal PP data is to obtain a measure of cumulative burden, the area under the PP curve (AUC). This AUC is used as an explanatory variable to model PWV. Next, a two stage process is applied. The longitudinal PP is modeled using a linear mixed-effects model. Then the PP and rate of change in PP at the visit where the PWV is measured are estimated from the model and used in the regression model to describe PWV. Finally, a joint Bayesian model is constructed similar to the two-stage model.
|
