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The CATMOD Procedure

Overview
Types of Input Data Types of Statistical Analyses Background: The Underlying Model Linear Models Contrasted with Log-Linear Models Using PROC CATMOD Interactively
Getting Started
Weighted Least Squares Analysis of Mean Response Generalized Logits Model
Syntax
PROC CATMOD Statement BY Statement CONTRAST Statement DIRECT Statement FACTORS Statement LOGLIN Statement MODEL Statement POPULATION Statement REPEATED Statement RESPONSE Statement RESTRICT Statement WEIGHT Statement
Details
Missing Values Input Data Sets Ordering of Populations and Responses Specification of Effects Output Data Sets Logistic Analysis Log-Linear Model Analysis Repeated Measures Analysis Generation of the Design Matrix Cautions Computational Method Computational Formulas Memory and Time Requirements Displayed Output ODS Table Names
Examples
Linear Response Function, r=2 Responses Mean Score Response Function, r=3 Responses Logistic Regression, Standard Response Function Log-Linear Model, Three Dependent Variables Log-Linear Model, Structural and Sampling Zeros Repeated Measures, 2 Response Levels, 3 Populations Repeated Measures, 4 Response Levels, 1 Population Repeated Measures, Logistic Analysis of Growth Curve Repeated Measures, Two Repeated Measurement Factors Direct Input of Response Functions and Covariance Matrix Predicted Probabilities
References

Examples: CATMOD Procedure

Subsections:

32.1 Linear Response Function, r=2 Responses
32.2 Mean Score Response Function, r=3 Responses
32.3 Logistic Regression, Standard Response Function
32.4 Log-Linear Model, Three Dependent Variables
32.5 Log-Linear Model, Structural and Sampling Zeros
32.6 Repeated Measures, 2 Response Levels, 3 Populations
32.7 Repeated Measures, 4 Response Levels, 1 Population
32.8 Repeated Measures, Logistic Analysis of Growth Curve
32.9 Repeated Measures, Two Repeated Measurement Factors
32.10 Direct Input of Response Functions and Covariance Matrix
32.11 Predicted Probabilities

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