Abstract Details
Activity Number:
|
88
|
Type:
|
Invited
|
Date/Time:
|
Sunday, August 3, 2014 : 8:30 PM to 10:30 PM
|
Sponsor:
|
Health Policy Statistics Section
|
Abstract #314104
|
|
Title:
|
Modeling Self-Reported Number of Cigarettes per Day from a Survey of American Indians
|
Author(s):
|
Hung-Wen Yeh*+ and Byron Gajewski and Won S. Choi and Niaman Nazir and Christine M. Daley
|
Companies:
|
University of Kansas Medical Center and University of Kansas Medical Center and University of Kansas Medical Center and University of Kansas Medical Center and University of Kansas Medical Center
|
Keywords:
|
cigarettes per day ;
heaping ;
inflation models ;
negative binomial ;
proportional odds model
|
Abstract:
|
In tobacco research, smokers often report daily cigarette consumption (cigarettes per day or CPD) by rounding-off integers to the nearest multiples of 5, 10, or 20, instead of the exact number of cigarettes. This phenomenon is known as "heaping" and requires joint modeling of true but unobserved CDP and an assumed heaping pattern, i.e., the relationship between unobserved and self-reported CDP in order to investigate risk factors that may be related to the actual CDP. We present data from a survey of 265 American Indians to investigate the effects of demographic and smoking risk factors on unobserved CDP. The unobserved CDP is modeled by an inflated negative binomial model, and heaping mechanism by a proportional odds model. The predicted values are computed for self-report CDP and the model goodness-of-fit is evaluated by Pearson's statistic.
|
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.
Copyright © American Statistical Association.