Bladder cancer mapping in Libya based on standardized morbidity ratio and log-normal model (IR)

Maryam Ahmed Alhdiri

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Type :	article
Subject :	L Education (General)
ISSN :	0094243X
Main Author :	Maryam Ahmed Alhdiri
Additional Authors :	Nor Azah Samat Zulkifley Mohamed
Title :	Bladder cancer mapping in Libya based on standardized morbidity ratio and log-normal model (IR)

Year of Publication :	2017
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Abstract :

Disease mapping contains a set of statistical techniques that detail maps of rates based on estimated mortality, morbidity, and prevalence. A traditional approach to measure the relative risk of the disease is called Standardized Morbidity Ratio (SMR). It is the ratio of an observed and expected number of accounts in an area, which has the greatest uncertainty if the disease is rare or if geographical area is small. Therefore, Bayesian models or statistical smoothing based on Log-normal model are introduced which might solve SMR problem. This study estimates the relative risk for bladder cancer incidence in Libya from 2006 to 2007 based on the SMR and log-normal model, which were fitted to data using WinBUGS software. This study starts with a brief review of these models, starting with the SMR method and followed by the log-normal model, which is then applied to bladder cancer incidence in Libya. All results are compared using maps and tables. The study concludes that the log-normal model gives better relative risk estimates compared to the classical method. The log-normal model has can overcome the SMR problem when there is no observed bladder cancer in an area.

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