JSM 2013 Home
Online Program Home
My Program

Abstract Details

Activity Number: 317
Type: Contributed
Date/Time: Tuesday, August 6, 2013 : 8:30 AM to 10:20 AM
Sponsor: SSC
Abstract - #309754
Title: Modeling of Multinomial Data with Excess Zeros
Author(s): Gary Sneddon*+
Companies: Mount Saint Vincent University
Keywords: multinomial ; Poisson ; correlated count data ; mixed model
Abstract:

In many medical studies one has clustered observations collected on a subject; for example, the number of bone fractures in different parts of the body. It is often the case that one observes a large number of zeros as responses in this type of data. To account for the clustering and excess zeros, we propose a conditional mixed model that uses the structure of a compound Poisson distribution to model the excess zeros. We will discuss the main features of this model, including parameter estimation of the regression coefficients and variance components. We will present a simulation study to assess the quality of the estimators, and apply the model to data collected to assess risk factors for osteoporotic fractures.


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

Back to the full JSM 2013 program




2013 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.

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.