This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 360
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #308396
Title: On the Modeling and Simulation of Ambulatory Blood Pressure Traces
Author(s): David A. James*+ and Xiaoyong Sun
Companies: Novartis and Iowa State University
Address: One Health Plaza, East Hanover, NJ, 07936,
Keywords: ambulatory blood pressure ; mixed-effects ; cosinor ; smoothing ; local likelihood ; chronobiology

We illustrate parametric and non-parametric methods for the exploration, modeling, and simulation of ambulatory blood pressure measurement (ABPM) curves. ABPM is a minimally invasive blood pressure monitoring tool that consists of a portable device that records subjects' blood pressure every 10-30 minutes over one or more days on multiple occasions during the course of a clinical study. These data are subject to additional sources variations that need to be statistically accounted in order to properly assess the time-course of medical features such as trough-to-peak ratios, "dipping" status, morning surge, etc. Models we consider include chronobiology-based cosinor models, linear and non-linear mixed effects, local-liklihood regression (Loader, 1999), loess smoothing (Cleveland 1979), and generalized additive models (Hastie and Tibshirani, 1990).

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