JSM 2015 Online Program

Online Program Home
My Program

Abstract Details

Activity Number: 136
Type: Contributed
Date/Time: Monday, August 10, 2015 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract #316430
Title: Bayesian Age-Period-Cohort Model of Lung Cancer Mortality
Author(s): Bhikhari P. Tharu* and Ram C. Kafle and Chris P. Tsokos
Companies: University of South Florida and Sam Houston State University and University of South Florida
Keywords: Histogram smoothing ; logit parameters ; multivariate

In this study, we aim to develop an age- period- cohort model to study the mortality trends of a particular disease in a population. We have considered that the observed number of deaths follows Poisson probability distribution. We model the rate of deaths as a function of age, period, and cohort. We propose the histogram smoothing technique to smooth the data. We apply the model to study the mortality due to lung cancer (LC) patients for the periods 1970-2010 in USA. The data set is obtained from the Surveillance Epidemiology and End Results (SEER) of National Cancer Institute (NCI). We noticed that mortality rate due to LC is decreasing overall periods and fairly stable for age group 37 and lower.

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

Back to the full JSM 2015 program

For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, 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.

2015 JSM Online Program Home