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Gastric and esophageal cancers incidence mapping in Golestan Province, Iran: Using Bayesian-Gibbs sampling

机译:伊朗Golestan省的胃癌和食道癌发病率地图:使用贝叶斯-吉布斯采样

摘要

Objectives: Recent studies of esophageal cancer (EC) and gastric cancer (GC) have been reported to have high incidence rates of these cancers in Golestan Province of Iran. The present study describes the geographical patterns of EC and GC incidence based on cancer registry data and display statistically significant regions within this province. Methods: In order to map the distribution of upper gastrointestinal cancer, relative risk (RR) were calculated. Therefore, to estimate a more reliable RR, Poisson regression models were used. The adjusted models (adjusted to urban-rural area, sex, and grouped age proportion) were utilized. We considered two-component random effects for each observation, an unstructured (noncorrelated) and a group of "neighbor" (correlated) heterogeneities. We estimated the model parameters using Gibbs sampling and empirical Bayes method. We used EC and GC data that were registered with Golestan Research Center of Gastroenterology and Hepatology in the years 2004-2008. Results: The EC and GC maps were drawn for 2004-2008 in the province. Kalaleh and Minoodasht counties have a high RR of EC and GC in the years of study. In almost all years, the areas with a high RR were steady. Conclusion: The EC and GC maps showed significant spatial patterns of risk in Golestan province of Iran. Further study is needed to multivariate clustering and mapping of cancers RRs with considering diet and socioeconomic factors. © 2015 Korea Centers for Disease Control and Prevention.
机译:目的:据报道,在伊朗的戈勒斯坦省,食管癌(EC)和胃癌(GC)的最新研究表明这些癌症的发病率很高。本研究基于癌症登记数据描述了EC和GC发生率的地理模式,并显示了该省内具有统计意义的重要地区。方法:为了绘制上消化道癌的分布图,计算了相对危险度(RR)。因此,为了估计更可靠的RR,使用了Poisson回归模型。使用调整后的模型(根据城乡地区,性别和分组年龄比例进行调整)。我们对每个观察都考虑了两部分的随机效应,即非结构化(不相关)和一组“邻居”(相关)异质性。我们使用吉布斯采样和经验贝叶斯方法估计了模型参数。我们使用了2004-2008年间在Golestan胃肠病和肝病研究中心注册的EC和GC数据。结果:绘制了该省2004-2008年的EC和GC图。 Kalaleh和Minoodasht县在研究期间具有较高的EC和GC RR。在几乎所有年份中,RR较高的区域都保持稳定。结论:EC和GC图显示了伊朗Golestan省的重大风险空间格局。考虑饮食和社会经济因素,还需要进一步研究以对癌症RR进行多因素聚类和定位。 ©2015韩国疾病预防控制中心。

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