| SGF |
2017 |
Stacked Ensemble Models for Improved Prediction Accuracy |
Funda Güneş, Pei-Yi Tan |
source |
19 |
| SESUG |
2012 |
Developing a Complete Picture of Patient Safety in Clinical Trials |
Richard C. Zink |
source |
5 |
| SGF |
2010 |
From Genomes to Galaxies: 3D Graphics in JMP Scripting Language |
Kelci J. Miclaus, Stan Martin, Craige Hales, Jong-Seok Lee, David Barbour |
source |
14 |
| SGF |
2009 |
Cross Validation and Learning Curve Model Comparison with JMP Genomics and Grid Computing |
Tzu-Ming Chu, Cheryl Doninger, Glenn Horton, Stan Martin, Pei-Yi Tan |
source |
12 |
| NESUG |
2004 |
Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics |
Wendy Czika, Kristen Kleiss |
|
18 |
| PharmaSUG |
2004 |
Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics |
Wendy Czika, Kristen Kleiss |
|
18 |
| SUGI |
2004 |
On the Use of PROC MIXED to Estimate Correlation in the Presence of Repeated Measures |
Anthony C. Hamlett, Louise Ryan |
source |
8 |
| SUGI |
2004 |
Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics |
Wendy Czika, Kristen Kleiss |
source |
19 |
| SESUG |
2003 |
An Introduction to Genomics and SAS Scientific Discovery Solutions |
|
source |
7 |
| SUGI |
2003 |
An Introduction to Genomics and SAS Scientific Discovery Solutions |
Susan Flood |
source |
7 |
| SEUGI |
2002 |
Genomic Analysis Solutions from SAS [presentation] |
Gerhard Held |
source |
25 |
| PharmaSUG |
2000 |
Meta-Analysis with Linear and Nonlinear Multilevel Models Using PROC MIXED and PROC NLMIXED |
Eugene Komaroff |
|
4 |
| NESUG |
1999 |
Fitting Nonlinear Mixed Models with the New NLMIXED Procedure |
|
|
10 |
| SUGI |
1999 |
Fitting Nonlinear Mixed Models with the New NLMIXED Procedure |
|
source |
10 |
| SUGI |
1995 |
Comparing the SAS GLM and MIXED Procedures for Repeated Measures |
Ming Chang |
source |
11 |
| SUGI |
1991 |
Mixed Models: A Future Direction |
Randall D. Tobias, John P. Sall |
source |
9 |