Proportional hazards models and age-period-cohort analysis of cancer ratest
Proportional hazards models and age-period-cohort analysis of cancer ratest
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DOI：
10.1002/sim.3865
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发表时间：
2010-05-20
影响因子：
2
通讯作者：
Anderson, William F.
中科院分区：
文献类型：
--
作者：
Rosenberg, Philip S.;Anderson, William F.
晚期队列（APC）分析广泛用于癌症流行病学，以模拟癌症发病率的趋势。我们开发了两个独立的原因特异性风险率的比较APC分析方法，假设APC模型适用于每一个。我们构建线性假设检验，以确定这两个风险是绝对成比例还是按队列、时期或年龄分层后成比例。当一个给定的比例风险模型出现足够的，我们推导出简单的表达式的相对危险使用可识别的APC参数。为了证明这些新方法的实用性，我们使用美国国家癌症研究所的监测，流行病学和最终结果计划的数据，分析了美国黑人与白人的癌症发病率。这些例子表明，在实践中可能会遇到每一种相称性。出版社：John Wiley & Sons，Ltd
Age-period-cohort (APC) analysis is widely used in cancer epidemiology to model trends in cancer rates. We develop methods for comparative APC analysis of two independent cause-specific hazard rates assuming that an APC model holds for each one. We construct linear hypothesis tests to determine whether the two hazards are absolutely proportional or proportional after stratification by cohort, period, or age. When a given proportional hazards model appears adequate, we derive simple expressions for the relative hazards using identifiable APC parameters. To demonstrate the utility of these new methods, we analyze cancer incidence rates in the United States in blacks versus whites for selected cancers, using data from the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. The examples illustrate that each type of proportionality may be encountered in practice. Published in 2010 by John Wiley & Sons, Ltd.