|
Activity Number:
|
542
|
|
Type:
|
Invited
|
|
Date/Time:
|
Thursday, August 6, 2009 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
ENAR
|
| Abstract - #303003 |
|
Title:
|
Multistate Analysis of Bivariate Interval-Censored Failure Time Data
|
|
Author(s):
|
Richard Cook*+
|
|
Companies:
|
University of Waterloo
|
|
Address:
|
200 University Avenue West, Waterloo, ON, N2L 3G1, Canada
|
|
Keywords:
|
bivariate failure times ; interval-censored ; multistate analysis ; state occupancy probability
|
|
Abstract:
|
When interest lies in the occurrence of two events only detectable at periodic examinations, bivariate interval-censored data are obtained. We describe how to fit a four state Markov model useful for characterizing the association between two interval-censored event times when the assessment times for the two events are generated by different inspection processes. The approach treats the two events symmetrically and enables one to fit multiplicative intensity models which give estimates of covariate effects as well as relative risks characterizing the association between the two events. An EM algorithm is described for estimation in which the maximization step can be carried out with standard software. Comparisons are made with robust nonparametric estimates of state occupancy probabilities. The method is illustrated by application to data from a trial of HIV patients.
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2009 program |
