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Bulletin of Pure and Applied Sciences- Math& Stat. (Started in 1982)
eISSN: 2320-3226
pISSN: 0970-6577
Impact Factor: 4.895 (2017)
DOI: 10.5958/2320-3226
Editor-in-Chief:  Prof. Dr. Lalit Mohan Upadhyaya
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Article Details

Bulletin of Pure and Applied Sciences- Math& Stat. (Started in 1982)
Year : 2019, Volume & Issue : BPAS-Maths & Stat 38E(1), JAN-JUN 2019
Page No. : 41-48, Article Type : Original Aticle
Article DOI : 10.5958/2320-3226.2019.00005.5 (Received on 07.09.2018, Revised on 03.11.2018 Accepted on 09.01.2019)

A GENDER WISE SPATIAL DISTRIBUTION OF MOUTH CANCER USING POISSON-GAMMA MODEL FOR CHENNAI ZONES

P. Sampath1*, P.R. Jayashree2, R. Srinivasan3, R. Swaminathan4
Author’s Affiliation : 1Statistical Assistant, Department of Epidemiology and Cancer Registry, Cancer Institute (WIA), Adyar, Chennai, Tamil Nadu 600020, India. E-mail: [email protected] 2Assistant professor, Department of Statistics, Presidency College, Chepauk, Chennai, Tamil Nadu 600005, India. E-mail: [email protected] 3Senior Technical Assistant, National Institute for Research in Tuberculosis, ICMR, Chetpet, Chennai, Tamil Nadu 600031, India. E-mail: [email protected] 4Professor and Head, Department of Epidemiology and Cancer Registry, Cancer Institute (WIA), Adyar, Chennai, Tamil Nadu 600020, India. E-mail: [email protected]

Corresponding Author : P. Sampath, Statistical Assistant, Department of Epidemiology and Cancer Registry, Cancer Institute (WIA), Adyar, Chennai, Tamil Nadu 600020, India.,
E-Mail:-[email protected]


Abstract

Cancer is known to be one of the leading causes of mortality in the world. There were about 14.1 million incidences and 8.2 million deaths due to cancer globally. In terms of mouth cancer Age Standardized Rate is 4.0 per 100000 populations worldwide and 7.2 per 100000 populations in India.  In Chennai, mouth cancer burden has significantly increased over the past decade irrespective of geographical region. In this paper, the mouth cancer incidence is used to analyze the spatial distribution for high risk and low risk areas of different zones in Chennai by gender for the period of 2004-2013. The aim of this study is to fit a Poisson Gamma model and to explore the Empirical Bayesian and frequentist approach for disease mapping of mouth cancer incidence for Chennai zones by sex. The results of the estimates reveal that the empirical Bayesian estimate is more stable than the conventional frequentist estimates.

 

Keywords

Disease Mapping, Poisson-Gamma model, Relative risk, Spatial Distribution, Standardized Incidence Ratio/ Standardized Morbidity Ratio
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