首页> 美国卫生研究院文献>Computational and Mathematical Methods in Medicine >Lung Cancer Mortality in Tuscany from 1971 to 2010 and Its Connections with Silicosis: A Space-Cohort Analysis Based on Shared Models
【2h】

Lung Cancer Mortality in Tuscany from 1971 to 2010 and Its Connections with Silicosis: A Space-Cohort Analysis Based on Shared Models

机译:1971年至2010年托斯卡纳的肺癌死亡率及其与矽肺病的关系:基于共享模型的空间队列分析

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Lung cancer mortality in Tuscany (Italy) for males, from 1971 and 2010, is investigated. A hierarchical Bayesian model for space-time disease mapping is introduced. Such a model belongs to the class of shared random effect models and exploits the birth-cohort as the relevant time dimension. It allows for highlighting common and specific patterns of risk for each birth-cohort. The results show that different birth-cohorts exhibit quite different spatial patterns, even if the socioeconomic status is taken into account. In fact, there were different occupational exposures before and after the Second World War. The birth-cohort 1930–35 exhibits high relative risks related to particular areas. This fact could be connected with occupational exposure to risk factors for silicosis, perhaps a prognostic status for lung cancer.
机译:调查了1971年至2010年意大利托斯卡纳地区男性肺癌的死亡率。介绍了用于时空疾病映射的分层贝叶斯模型。这样的模型属于共享随机效应模型的类别,并且将出生队列作为相关的时间维度。它可以突出显示每个出生队列的常见和特定风险模式。结果表明,即使考虑到社会经济地位,不同的出生人群也表现出完全不同的空间格局。实际上,第二次世界大战前后有不同的职业经历。 1930–35年的出生队列具有与特定区域相关的较高相对风险。这一事实可能与职业暴露于矽肺病的危险因素有关,也许是肺癌的预后状态。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号