JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 326
Type: Topic Contributed
Date/Time: Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #305653
Title: Ornstein-Uhlenbeck Random Effects Threshold Regression for Survival Data from Heterogeneous Populations
Author(s): Roger Erich and Michael Lindsey Pennell*+
Companies: The Ohio State University and The Ohio State University College of Public Health
Address: 246 Cunz Hall , Columbus, OH, , USA
Keywords: Cancer clinical trial ; Cure rate ; First hitting time model ; Gaussian process ; Mixture model ; Random effects
Abstract:

Threshold regression (TR) is a relatively new methodology which models time to event data using a latent stochastic process which fails once it hits a boundary value. For instance, in a biomedical study, the latent process would correspond to patient health with disease or death occurring once the process has reached a threshold. The Ornstein-Uhlenbeck (OU) process is an attractive choice for these applications because its increments are dependent on the current state of the process and it operates around a point of homeostasis. Current methods assume that the expected path of the process is identical for subjects with the same covariate values. This assumption may not be plausible for many human populations as one would expect a great deal of heterogeneity in their unmeasured covariates (e.g., genetic factors) which likely affect the different parameters of the OU process. In this presentation, we will address this problem by extending previous OU process TR models to include a random subject-specific effect in the initial state of the process. We will also present an extension of our model to include a cure rate and we will apply our methods to a cancer clinical trial.


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 2012 program




2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.