This article summarizes the results of a Nutrient Biomarker Study in the Women's Health Initiative, and its application to studies of the association between energy and protein consumption and the risk of major cancers and cardiovascular diseases. The presentation emphasizes measurement error modeling and related data analysis methods, since addressing measurement issues appears to be central to these topics and to progress in nutritional epidemiology more generally. The manner in which body mass index is modeled in disease association analysis is particularly challenging, since it could serve as a mediator or as a confounder of the association, and at the same time contributes valuably to energy and protein consumption assessment. A hazard ratio parameter estimation procedure that acknowledges body mass index as a possible mediating variable is described and applied. Some aspects of the future nutritional epidemiology research agenda are briefly discussed, including an ongoing human feeding study to develop biomarkers for additional dietary components. The Canadian Journal of Statistics 39: 498–509; 2011 © 2011 Statistical Society of Canada

中文翻译：

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测量误差模型和营养流行病学关联分析。

本文总结了妇女健康倡议中营养生物标志物研究的结果，及其在能量和蛋白质消耗与主要癌症和心血管疾病风险之间关系研究中的应用。该演讲强调测量误差建模和相关数据分析方法，因为解决测量问题似乎是这些主题以及更广泛的营养流行病学进展的核心。在疾病关联分析中对体重指数进行建模的方式特别具有挑战性，因为它可以充当关联的中介或混杂因素，同时对能量和蛋白质消耗评估做出重要贡献。描述并应用了承认体重指数作为可能的中介变量的风险比参数估计程序。简要讨论了未来营养流行病学研究议程的一些方面，包括正在进行的人类喂养研究，以开发其他膳食成分的生物标志物。加拿大统计杂志 39：498-509；2011 © 2011 加拿大统计学会