Previous Page
|
Next Page
Examples
Previous Page
|
Next Page
The HPMIXED Procedure
Overview
Basic Features
Assumptions and Notation
Computational Approach
The HPMIXED Procedure Contrasted with the MIXED Procedure
Getting Started
Mixed Model with Large Number of Fixed and Random Effects
Syntax
PROC HPMIXED Statement
BY Statement
CLASS Statement
CONTRAST Statement
EFFECT Statement
ESTIMATE Statement
ID Statement
LSMEANS Statement
MODEL Statement
NLOPTIONS Statement
OUTPUT Statement
PARMS Statement
RANDOM Statement
REPEATED Statement
TEST Statement
WEIGHT Statement
Details
Model Assumptions
Computing and Maximizing the Likelihood
Computing Starting Values by EM-REML
Sparse Matrix Techniques
Hypothesis Tests for Fixed Effects
Default Output
ODS Table Names
Examples
Ranking Many Random-Effect Coefficients
Comparing Results from PROC HPMIXED and PROC MIXED
Using PROC GLIMMIX for Further Analysis of PROC HPMIXED Fit
Mixed Model Analysis of Microarray Data
Repeated Measures
References
Examples: HPMIXED Procedure
Subsections:
48.1 Ranking Many Random-Effect Coefficients
48.2 Comparing Results from PROC HPMIXED and PROC MIXED
48.3 Using PROC GLIMMIX for Further Analysis of PROC HPMIXED Fit
48.4 Mixed Model Analysis of Microarray Data
48.5 Repeated Measures
Previous Page
|
Next Page
|
Top of Page
Copyright © SAS Institute Inc. All Rights Reserved.
Previous Page
|
Next Page
|
Top of Page
