Andrew Gelman.Multilevel (Hierarchical) Modeling-What It Can and Cannot Do

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Andrew Gelman.Multilevel (Hierarchical) Modeling-What It Can and Cannot Do.pdf (200.29 KB, 需要: 1 个论坛币)

2013-11-29 07:05:42 上传

Andrew Gelman.Multilevel (Hierarchical) Modeling-What It Can and Cannot Do
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http://www.stat.columbia.edu/~gelman/research/published/multi2.pdf
Multilevel (hierarchical) modeling is a generalization of linear and generalized linear modeling in which regression coefficients are themselves given a model, whose parameters are also estimated from data.We illustrate the strengths and limitations of multilevel modeling through an example of the prediction of home radon levels in U.S. counties. The multilevel model is highly effective for predictions at both levels of the model, but could easily be misinterpreted for causal inference.

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关键词：Hierarchical Multilevel Modeling Andrew cannot prediction themselves effective example through