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生物统计学与流行病学:测量环境或遗传因素所致风险

Biostatistics and epidemiology: measuring the risk attributable to an environmental or genetic factor.

作者信息

Benichou Jacques

机构信息

Unité de biostatistique, CHU de Rouen & Inserm U 657, Institut hospitalo-universitaire de recherche biomédicale, Université de Rouen, 1, rue de Germont, 76031 Rouen cedex, France.

出版信息

C R Biol. 2007 Apr;330(4):281-98. doi: 10.1016/j.crvi.2007.02.015. Epub 2007 Apr 12.

DOI:10.1016/j.crvi.2007.02.015
PMID:17502285
Abstract

Disease frequency is measured through estimating incidence rates or disease risk. Several measures are used for assessing exposure-disease association, with adjusted estimates based on standardization, stratification, or more flexible regression techniques. Several measures are available to assess an exposure impact in terms of disease occurrence at the population level, including the commonly used attributable risk (AR). Adjusted AR estimation relies on stratification or regression techniques. Sequential and partial ARs have been proposed to handle the situation of multiple exposures and circumvent the associated non-additivity problem. Despite remaining issues in properly interpreting AR, AR remains a useful guide to assess prevention strategies.

摘要

疾病频率通过估计发病率或疾病风险来衡量。有几种方法用于评估暴露与疾病的关联,并基于标准化、分层或更灵活的回归技术进行调整估计。有几种方法可用于评估人群层面疾病发生方面的暴露影响,包括常用的归因风险(AR)。调整后的AR估计依赖于分层或回归技术。已经提出了顺序归因风险和部分归因风险来处理多重暴露的情况并规避相关的非相加性问题。尽管在正确解释AR方面仍存在问题,但AR仍然是评估预防策略的有用指南。

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