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Bayesian Analysis of Lung Cancer Mortality in the Presence of Misclassification

AUTHORS

Mohsen Vahedi 1 , Mohamad Amin Pourhoseingholi 2 , * , Ahmadreza Baghestani 3 , Alireza Abadi 3 , Sara Sobhi 4 , Zeinab Fazeli 5

1 Dept. of Epidemiology and Biostatics, Tehran University of Medical Sciences, Tehran, Iran

2 Gastroenterology and Liver diseases Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

3 Dept. of Biostatistics, Shahid Beheshti University of Medical Sciences, Tehran, Iran

4 Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

5 Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

How to Cite: Vahedi M, Pourhoseingholi M A, Baghestani A, Abadi A, Sobhi S, et al. Bayesian Analysis of Lung Cancer Mortality in the Presence of Misclassification, Int J Cancer Manag. 2013 ; 6(Supplement):e80428.

ARTICLE INFORMATION

International Journal of Cancer Management: 6 (Supplement); e80428
Published Online: December 30, 2013
Article Type: Research Article
Received: October 15, 2012
Accepted: December 20, 2012

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Abstract

Background: Lung cancer is an important cause of cancer mortality. Mortality is a familiar projection to address the burden of cancers. However, according to Iranian death registry, about 20% of death statistics were still recorded in misclassified categories. The aim of this study was to estimate lung cancer mortality in Iranian population, using Bayesian approach to revise this misclassification.

Methods: We analyzed National death Statistic reported by the Iranian Ministry of Health and Medical Education from 1995 to 2004. Lung cancer [ICD-10; C34] was expressed as the annual mortality rates/100,000 by sex and by age group. The Bayesian approach to correct and account for misclassification effects in Poisson count regression with a beta prior was employed to estimate the mortality rate of lung cancer in age and sex groups.

Results: According to the Bayesian analysis, there were between 20 to 30 percent underreported mortality records in deaths due to lung cancer, and its mortality rate increased through the recent years.

Conclusion: Our findings suggested a substantial undercount of Lung cancer mortality in Iranian population. Therefore, policy makers who determine research and treatment priorities on death rates should pay more attention to this underreported data.

Keywords

Lung cancer Mortality Bayesian analysis

© 2013, Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

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