Multilevel (Hierarchical) Modeling: What It Can and Cannot Do
Top Cited Papers
- 1 August 2006
- journal article
- Published by Taylor & Francis Ltd in Technometrics
- Vol. 48 (3), 432-435
- https://doi.org/10.1198/004017005000000661
Abstract
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.Keywords
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