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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
Details: CATMOD Procedure
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
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