VARIANCE ESTIMATORS FOR ATTRIBUTABLE FRACTION ESTIMATES CONSISTENT IN BOTH LARGE STRATA AND SPARSE DATA
VARIANCE ESTIMATORS FOR ATTRIBUTABLE FRACTION ESTIMATES CONSISTENT IN BOTH LARGE STRATA AND SPARSE DATA
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DOI：
10.1002/sim.4780060607
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发表时间：
1987-09-01
影响因子：
2
通讯作者：
GREENLAND, S
中科院分区：
文献类型：
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作者：
GREENLAND, S
已经提出了许多归因分数的方差公式，但在稀疏数据中没有一个是一致的，例如在单独匹配的病例对照研究中发现的。本文采用 Mantel-Haenszel 估计来推导可归因分数的方差估计量，该方差估计量是双重一致的，即在稀疏数据和大地层中都是一致的。该方法还可以使用条件最大似然来应用。还导出了这些估计量对涉及效果修改和预防性暴露的情况的扩展。给出了单独匹配的病例对照研究的应用示例。
A number of variance formulae for the attributable fraction have been presented, but none is consistent in sparse data, such as found in individually matched case-control studies. This paper employs Mantel-Haenszel estimation to derive variance estimators for attributable fractions that are dually consistent, that is, consistent in both sparse data and large strata. The method may also be applied using conditional maximum likelihood. Extensions of these estimators to situations involving effect modification and preventive exposures are also derived. Examples of applications to individually matched case-control studies are given.