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移民群体癌症风险的对数线性模型。

Log-linear models for cancer risk among migrants.

作者信息

Kaldor J, Khlat M, Parkin D M, Shiboski S, Steinitz R

机构信息

International Agency for Research on Cancer, Lyon, France.

出版信息

Int J Epidemiol. 1990 Jun;19(2):233-9. doi: 10.1093/ije/19.2.233.

Abstract

Epidemiological studies of migrants have played an important role in separating the environmental and genetic components of cancer aetiology. The statistical analyses of these studies have typically involved calculating age- and sex-adjusted rates by country of birth. We describe methods which permit the effect of duration of residence in the host country to be estimated after adjusting for other temporal effects such as age, and period or cohort. The methods, which are based on log-linear modelling, can also be applied in a case-control manner if appropriate denominator populations are unavailable. Examples are given in which the more traditional methods of analysis may have yielded misleading results.

摘要

移民流行病学研究在区分癌症病因中的环境和遗传因素方面发挥了重要作用。这些研究的统计分析通常包括按出生国计算年龄和性别调整率。我们描述了一些方法,这些方法在调整年龄、时期或队列等其他时间效应后,可以估计在东道国的居住时间的影响。这些基于对数线性模型的方法,如果没有合适的分母人群,也可以以病例对照的方式应用。文中给出了一些例子,说明更传统的分析方法可能会产生误导性结果。

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