Methods for pooling results of epidemiologic studies - The pooling project of prospective studies of diet and cancer
Methods for pooling results of epidemiologic studies - The pooling project of prospective studies of diet and cancer
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DOI：
10.1093/aje/kwj127
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发表时间：
2006-06-01
影响因子：
5
通讯作者：
Hunter, David J.
中科院分区：
文献类型：
--
作者：
Smith-Warner, Stephanie A.;Spiegelman, Donna;Hunter, David J.
随着关于饮食因素与癌症风险之间关系的流行病学出版物越来越多，汇总多项研究结果的汇总分析变得越来越普遍。在这里，作者描述了1991年开始的正在进行的饮食与癌症前瞻性研究汇总项目中用于总结饮食与癌症相关数据的方法。在汇总项目中，使用暴露、混杂和结局变量建模的标准化标准分析符合预先规定的纳入标准的前瞻性队列研究的主要数据。除了评估主要的癌症-疾病关联外，还进行分析以评估癌症-疾病关联是否受到其他饮食和非饮食因素的影响，或者在人群亚组或特定癌症亚型之间存在差异。使用考克斯比例风险模型计算研究特异性相对风险，然后使用随机或混合效应模型汇总。在形成汇总估计值时，研究特定估计值通过其方差的倒数进行加权。在合并项目中使用的大多数方法可能适用于在病例对照研究或病例对照和队列研究的合并分析中检查与饮食和非饮食因素的关联。
With the growing number of epidemiologic publications on the relation between dietary factors and cancer risk, pooled analyses that summarize results from multiple studies are becoming more common. Here, the authors describe the methods being used to summarize data on diet-cancer associations within the ongoing Pooling Project of Prospective Studies of Diet and Cancer, begun in 1991. In the Pooling Project, the primary data from prospective cohort studies meeting prespecified inclusion criteria are analyzed using standardized criteria for modeling of exposure, confounding, and outcome variables. In addition to evaluating main exposure-disease associations, analyses are also conducted to evaluate whether exposure-disease associations are modified by other dietary and nondietary factors or vary among population subgroups or particular cancer subtypes. Study-specific relative risks are calculated using the Cox proportional hazards model and then pooled using a random- or mixed-effects model. The study-specific estimates are weighted by the inverse of their variances in forming summary estimates. Most of the methods used in the Pooling Project may be adapted for examining associations with dietary and nondietary factors in pooled analyses of case-control studies or case-control and cohort studies combined.