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

Abstract Details

Activity Number: 323
Type: Invited
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: WNAR
Abstract - #306134
Title: Bayesian Calibration of Microsimulation Models
Author(s): Carolyn M. Rutter*+
Companies: Group Health Research Institute
Address: 1730 Minor Ave, Ste 1600, Seattle, WA, 98101, USA
Keywords: identifiabilty ; health policy ; comparative effectiveness
Abstract:

Comparative effectiveness analysis is a primary application of microsimulation models. These analyses use simulation of individuals to extend information from observational and experimental studies to estimate the effectiveness and costs of different intervention strategies, and they are increasingly used to inform health policy decisions. Yet relatively little attention has been given to statistical aspects of microsimulation models. We discuss issues faced when calibrating microsimulation models, that is, when estimating parameters so that model predictions are consistent with observed data. Issues include parameter identifiablity and estimation of model prediction error. We present a Bayesian solution to these problems.


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 2010 program




2010 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.