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Introduction to log-linear models

Stat 504, Lecture 161'&$% Introduction tolog-linear modelsKey Concepts: Benefits of models Two-way log-linear models Parameters Constraints, Estimation andInterpretation Inference for log-linear modelsObjectives: Understand the structure of the log-linear modelsin two-way tables Understand the concepts of independence andassociations described via log-linear models intwo-way tablesStat 504, Lecture 162'&$%Useful Links: The CATMOD procedure in SAS: The GENMOD procedure in SAS: The SAS source on log-linear model #stat_catmod_catmodllma Fitting log-linear models in Fitting log-linear models in R via generalizedlinear models (glm()) : Agresti (2002) Ch.

of PROC FREQ and PROC GENMOD procedures. Statistics for Table of pview by choice Statistic DF Value Prob-----Chi-Square 4 238.5354 <.0001 Likelihood Ratio Chi-Square 4 247.6951 <.0001... Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 4 247.6951 61.9238

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