JSM 2014 Home
Online Program Home
My Program

Abstract Details

Activity Number: 447
Type: Topic Contributed
Date/Time: Wednesday, August 6, 2014 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract #313185
Title: Bayesian Methods for Modeling Nonignorably Missing Data in Cluster Randomized Trials with Binary Outcomes
Author(s): Catherine Crespi*+
Companies: University of California, Los Angeles
Keywords: cluster randomized trials ; nonignorably missing data ; missing data mechanism ; Bayesian modeling ; Bayesian methods ; binary outcomes

Missing responses are a common problem in cluster randomized trials (CRTs), in which groups of individuals rather than individuals per se are randomized to different conditions. The multilevel data structure of CRTs makes many missing data strategies, including most multiple imputation methods, inappropriate, because they assume independent observations. The problem is especially acute for binary outcomes; whereas some multiple imputation strategies for multilevel normal data have been developed, such methods are lacking for multilevel binary data. We discuss Bayesian methods for modeling missing binary responses in CRTs. Full Bayesian modeling provides a comprehensive framework for handling the missing responses and exploring the sensitivity of inferences to different assumptions about the missing data mechanism. The methods are illustrated on a CRT of an intervention to promote colorectal cancer screening among individuals at high risk for the disease.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2014 program

2014 JSM Online Program Home

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

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

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

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.