Models, assumptions and model checking in ecological regressions
Models, assumptions and model checking in ecological regressions
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DOI：
10.1111/1467-985x.00190
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发表时间：
2001-01-01
影响因子：
2
通讯作者：
Minnite, LC
中科院分区：
文献类型：
--
作者：
Gelman, A;Park, DK;Minnite, LC
生态回归基于无法通过汇总数据检验的假设。然而，这些假设在某些应用中似乎比在其他应用中更值得怀疑。对于聚合生态回归模型背后的个体数据隐式模型已经有一些研究。我们讨论从聚合数据中检查这些隐式模型的方法。我们还在两个例子中探讨了生态回归应用的差异：估计氡气对美国肺癌的影响和估计纽约市不同种族群体的投票模式。
Ecological regression is based on assumptions that are untestable from aggregate data. However, these assumptions seem more questionable in some applications than in others. There has been some research on implicit models of individual data underlying aggregate ecological regression modelling. We discuss ways in which these implicit models can be checked from aggregate data. We also explore the differences in applications of ecological regressions in two examples: estimating the effect of radon on lung cancer in the United States and estimating voting patterns for different ethnic groups in New York City.