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Assessing lung cancer risk in railroad workers using a first hitting time regression model
Environmetrics ( IF 1.5 ) Pub Date : 2004-07-21 , DOI: 10.1002/env.683
Mei-Ling Ting Lee , G. A. Whitmore , Francine Laden , Jaime E. Hart , Eric Garshick

This article examines the application of a first hitting time (FHT) model, using an operational time scale, to assess mortality risk differentials of the work environment. A major case application is presented that applies the model to three job categories of railroad workers. The data set involves a study of more than 50 000 workers with mortality assessed from 1959 to 1996. Lung cancer mortality was assessed because of a suspected link to diesel exhaust exposure. Based on a model that stipulates that death occurs when the disease state of a subject first hits a threshold value, the FHT model provides insights into factors influencing disease progression. In this application, in particular, the findings suggest that a job category in 1959 alters the risk of death from lung cancer.

中文翻译:

使用首次打击时间回归模型评估铁路工人的肺癌风险

本文研究了使用操作时间尺度的首次打击时间 (FHT) 模型的应用,以评估工作环境的死亡风险差异。提出了一个主要的案例应用程序,该应用程序将该模型应用于铁路工人的三个工作类别。该数据集涉及对 1959 年至 1996 年期间对 50 000 多名工人进行死亡率评估的研究。评估肺癌死亡率是因为怀疑与接触柴油机尾气有关。基于规定当受试者的疾病状态首次达到阈值时会发生死亡的模型,FHT 模型提供了对影响疾病进展的因素的见解。特别是在本申请中,研究结果表明 1959 年的工作类别改变了因肺癌死亡的风险。
更新日期:2004-07-21
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