Consider the loglinear random effects model log[E(Y it | u i )] = x? it ? +

Question:

Consider the loglinear random effects model

log[E(Y_it | u_i)] = x?_it ? + z?_it u_i,

where {?_i} are independent N(0, ?). Show that this implies the marginal loglinear model

with the same fixed effects but with offset term. For the random-intercept case, indicate the role of ? on the size of the offset. Explain what happens when ? = 0.

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Categorical Data Analysis

ISBN: 9780471360933

2nd Edition

Authors: Alan Agresti

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Question Posted: Feb 14, 2020 07:40 AM

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Consider the loglinear random effects model log[E(Y it | u i )] = x? it ? +

Question:

log[ E(Y;4)] – ,"2 z, = x;,ß, X',B, 2

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When the log linear random effects model is considered the marginal log li...View the full answer

Categorical Data Analysis

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