JSM 2005 Online Program

Abstract #304737

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	72
Type:	Contributed
Date/Time:	Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor:	Section on Statistics in Epidemiology
Abstract - #304737
Title:	Markovian Multistate Regression Models for Cardiovascular Diseases
Author(s):	Somesh Chattopadhyay*+
Companies:	Florida State University
Address:	Department of Statistics, Tallahassee, FL, 32306-4330, United States
Keywords:	multivariate survival analysis ; multistate model ; Markov model ; regression ; cardivascular disease
Abstract:	There are several types of events and conditions related to cardiovascular diseases. Some events are recurrent and some conditions are almost permanent. An event may contribute to the risk of another occurrence of the same event or occurrence of another event. A condition also may contribute to the risk of an event as well. It is important to consider the interrelationship between different types of events and conditions. At the same time, there are other covariates contributing to the risk of a particular type of event or condition. We propose a Markovian multistate regression model to study the interrelationship between different types of events and conditions and effects of the covariates on the risks of those events and conditions. We will use Framingham heart study data to illustrate our method.

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