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proc glmselect

45 papers; 35 titles.

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Conference × Year × Title × Authors Extras Pages
SESUG 2025 Modernizing Predictive Modeling in SAS: When to Move Beyond PROC GLM Duha Khan,
Sriya Venkat,
Sydney McDermott		 8
SESUG 2025 Statistical Analysis in SAS: The Not-So-Scary Overview Danny R. Modlin 64
SESUG 2022 Cutting Edge Regression Methods: Ridge, LASSO, LOESS, and GAM David J. Corliss source 12
PharmaSUG 2022 Potential features analysis affect Covid-19 spread Yida Bao,
Philippe Gaillard		 source 11
PharmaSUG 2021 Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity Deanna Naomi Schreiber-Gregory source 23
PharmaSUG 2019 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Karlen Bader		 source 23
SGF 2019 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory source 23
SGF 2019 Review and Comparing (Analyzing) Relationship between Teacher Judgment and Student Performance in North Carolina Sareh Meshkinfam,
Julie S. Ivy,
Amy C. Reamer		 source 15
SGF 2019 SCORE! Techniques for Scoring Predictive Regression Models Using SAS/STAT Software Phil Gibbs,
Randy Tobias		 source 18
SESUG 2018 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 23
MWSUG 2018 Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Karlen Bader		 23
WUSS 2018 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory source 23
SGF 2018 Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures Gerhard Svolba source 26
SGF 2018 Penalized Variable Selection and Quantile Regression in SAS : An Overview Russell M. Lavery source 28
PHUSE EU 2017 The Model Statistician Insights into Model Selection Techniques in Clinical Trials Peter Williams source
presentation source		 6
MWSUG 2017 Correcting for Selection Bias in a Clinical Trial Shana Kelly 8
MWSUG 2017 Logistic Model Selection with SAS PROC's LOGISTIC, HPLOGISTIC, HPGENSELECT Bruce S. Lund 18
WUSS 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez source 19
SGF 2017 Developing a Predictive Model of Physician Attribution of Patient Satisfaction Surveys Ken Ferrell source 5
SGF 2017 N-Stage Machine Learning Analysis with the LUA Procedure Helps Solve Big Data Analysis Problems Ryo Kiguchi,
Eri Sakai,
Yoshitake Kitanishi,
Akio Tsuji		 source 8
SGF 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez,
Phil Gibbs		 source 19
SGF 2017 Where Does Cleopatra Really Belong? An Analysis of Slot Machine Placement and Performance Using SAS Stephen Tam source 12
SESUG 2016 Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software Robert N. Rodriguez source 23
MWSUG 2016 An Animated Guide: Penalized variable selection techniques in SAS and Quantile Regression Russell M. Lavery,
Peter Flom		 24
WUSS 2016 Statistical Model Building for Large, Complex Data: Four New Directions in SAS/STAT Software Robert N. Rodriguez source 23
SGF 2016 Real-Time Predictive Modeling of Key Quality Characteristics Using Regularized Regression: SAS Procedures GLMSELECT and LASSO Jon M. Lindenauer source 10
SGF 2016 Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software Bob Rodriguez source 23
WUSS 2015 Introduction to SAS Quantile Regression (PROC QuantSelect and PROC QuantReg ) Peter L. Flom source 25
SGF 2015 Multinomial Logistic Model for Long-Term Value Bruce S. Lund source 16
MWSUG 2014 Prediction Improvement from Geostatistical Methodology in Regression Modeling For Census Tract Data Robert G. Downer 10
MWSUG 2011 SAS Model Selection Macros for Complex Survey Data Using PROC SURVEYLOGISTIC/SURVEYREG Fang Wang,
Hee-Choon Shin		 27
MWSUG 2011 Using SAS to Create Sales Expectations for Everyday and Seasonal Products Lory Ellebracht,
Jamie Netherton,
Casey Gentry		 10
SGF 2011 To Hash or Not To Hash! That Is the Question!! When it Comes to SQL!!! Mustaq Ahmad source 12
NESUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Robert N. Rodriguez,
Robert Cohen		 20
WUSS 2010 The Next Generation: SAS/STAT 9.22 Robert N. Rodriguez source 20
MWSUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes 20
SESUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Bob Rodriguez,
Robert A. Cohen		 source 20
SGF 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Robert N. Rodriguez		 source 20
PNWSUG 2009 Building Multiple Linear Regression Models - Food for Thought Colleen E. McGahan,
Mei Chong		 11
SGF 2009 Applications of the GLMSELECT Procedure for Megamodel Selection Robert A. Cohen source 25
SGF 2008 Applying SAS Mixed-Model Procedures to Educational-Assessment Data Brian Patterson source 8
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez		 32
NESUG 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 32
SUGI 2006 Introducing the GLMSELECT Procedure for Model Selection Robert A. Cohen source 18
SUGI 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 source 32

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