| PHUSE EU |
2025 |
GLMM and GEE for Categorical Repeated Measures - Linking SAS and R |
Miriam Amor |
source presentation source |
16 |
| SESUG |
2020 |
Custom SAS Studio Tasks for All Occasions |
John Stephen Taylor |
source |
10 |
| SGF |
2015 |
Multilevel Models for Categorical Data Using SAS PROC GLIMMIX: The Basics |
Mihaela Ene, Bethany A. Bell, Genine L. Blue, Elizabeth Leighton |
source |
12 |
| SESUG |
2014 |
Multilevel Models for Categorical Data Using SAS PROC GLIMMIX: The Basics |
Mihaela Ene, Elizabeth A. Leighton, Genine L. Blue, Bethany A. Bell |
source |
12 |
| MWSUG |
2008 |
Imputation of Categorical Missing Data: A comparison of Multivariate Normal and Multinomial Methods |
Holmes Finch, Matt Margraf |
|
12 |
| SEUGI |
1993 |
Generalised Linear Model and Correspondence Analysis. Application to the Goitre Problem in Mali |
Michel Tenehaus |
source |
28 |
| SUGI |
1991 |
Analysis of Sparse Repeated Categorical Measurement Data |
Alan Agresti, Stuart Lipsitz, Joseph B. Lang |
source |
9 |
| SUGI |
1983 |
A Macro for Maximum Likelihood Fitting Log-Linear Models to Poisson and Multinomial Counts with Contrast Matrix Capability for Hypothesis Testing |
Gary G. Koch, Maura E. Stokes |
source |
6 |