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Log–Linear Mixed Models for Categorical Data
Author(s) -
Fidler V.
Publication year - 1987
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.1987.tb01170.x
Subject(s) - categorical variable , log linear model , extension (predicate logic) , mixed model , mathematics , observer (physics) , linear model , statistics , generalized linear mixed model , data mining , computer science , physics , quantum mechanics , programming language
A method for construction of mixed models for categorical responses is described and its use is exemplified for three experimental designs: the repeated–measurements design, the change–over design and a design used for measurement of inter–observer agreement. The method may be viewed as an extension of the standard log–linear model methodology.