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Part 2A - Multilevel regression  pp. 235-236

Multilevel regression

By Andrew Gelman and Jennifer Hill

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We now introduce multilevel linear and generalized linear models, including issues such as varying intercepts and slopes and non-nested models. We view multilevel models either as regressions with potentially large numbers of coefficients that are themselves modeled, or as regressions with coefficients that can vary by group.