HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

proc glimmix

126 papers; 110 titles.

Back to keywords

Conference × Year × Title × Authors Extras Pages
PHUSE EU 2025 GLMM and GEE for Categorical Repeated Measures - Linking SAS and R Miriam Amor source
presentation source		 16
PharmaSUG 2025 Simulating Optimal Sample Sizes for Canine Jaws Using SAS Chary Akmyradov,
Lida Gharibvand		 source 11
WUSS 2024 Simulating Optimal Sample Sizes for Joyful Canine Jaws Using SAS Chary Akmyradov,
Lida Gharibvand		 source 11
SESUG 2023 %modelselect: A macro for automatically selecting statistical models based on fit statistics William B. Smith source 7
SGF 2021 Bayesian Analysis of GLMMs Using PROC BGLIMM Walter W. Stroup source
pdf		 25
SGF 2020 A Level Headed Approach to the METHOD=FASTQUAD Option in the GLIMMIX Procedure Sidney J. Hann source 11
SGF 2020 Mixed-Effects Models and Complex Survey Data with the GLIMMIX Procedure L. Grisell Diaz-Ramirez,
Bocheng Jing		 source 10
SGF 2020 Piecewise Latent Growth Curve Models to Test for Discontinuities in Disease Prevalence Trends Lin Yan source 10
SGF 2020 Simulating Data for Complex Linear Models Phil Gibbs,
Kathleen Kiernan		 source 20
SESUG 2019 Generalized Linear Mixed Model Approach to Time-to-Event Data with Censored Observations Censored Observations source 9
MWSUG 2019 Legislative Action on Human Trafficking: Towards a Data-Driven Policy David J. Corliss 9
SGF 2019 Joint Analysis of Failure Times and Time-Varying Covariates Joseph C. Gardiner source 22
SGF 2019 Using SAS Procedures to Fit Rasch Models Tianshu Pan,
Yumin Chen		 source 10
SGF 2019 Using SAS to Validate Prediction Models Xiaoting Wu,
Chang He,
Donald S. Likosky		 source 9
WUSS 2018 "Training Wheels" for learning mixed models YuTing Tian,
Russell M. Lavery		 source 20
WUSS 2018 When the Mean Isn't Enough: Methods for Assessing Individual Differences using SAS Melissa McTernan source 8
SGF 2018 Alternative Variance Parameterizations in Count Data Models Robin High source 14
SGF 2018 Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects Kathleen Kiernan source 23
MWSUG 2017 Unconventional Statistical Models with the NLMIXED Procedure Robin High 14
WUSS 2017 Analysis of Complex Survey Data with SAS Christine Wells source 6
WUSS 2017 Analyzing Multiple Membership Hierarchical Data Using PROC GLIMMIX Maria Elsa Vazquez Arreola,
Jeffrey Wilson		 source 7
WUSS 2017 Modeling Longitudinal and Multilevel Data in SAS Niloofar Ramezani source 8
SGF 2017 Advanced Hierarchical Modeling with the MCMC Procedure Fang K. Chen,
Maura E. Stokes		 source 21
SGF 2017 Analyzing Correlated Data in SAS Niloofar Ramezani source 13
SGF 2017 Fitting Complex Statistical Models with NLMIXED and MCMC Procedures Robin High source 14
SESUG 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SESUG 2016 Analyzing non-normal data with categorical response variables Niloofar Ramezani,
Allameh Tabataba'i		 source 9
SESUG 2016 SAS Macro for Automated Model Selection Involving PROC GLIMMIX and PROC MIXED Fan Pan,
Jin Liu		 source 9
MWSUG 2016 Fitting Complex Statistical Models with PROCs NLMIXED and MCMC Robin High 16
MWSUG 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen,
Gordon Brown,
Maura E. Stokes		 27
MWSUG 2016 Using SAS to Generate p-Values with Monte Carlo Simulation Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Michael Woodford,
Gloria Palmisano,
Gretchen Piatt,
Michele Heisler		 14
WUSS 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen source 27
WUSS 2016 Hierarchical Generalized Linear Models for Behavioral Health Risk-Standardized 30-Day and 90-Day Readmission Rates Allen Hom source
pptx		 20
WUSS 2016 How to analyze correlated and longitudinal data? Niloofar Ramezani source 8
SGF 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SGF 2016 Analyzing Non-Normal Binomial and Categorical Response Variables under Varying Data Conditions Niloofar Ramezani source 16
SGF 2016 Exploring the Factors That Impact Injury Severity Using Hierarchical Linear Modeling (HLM) Pradeep Bista source 9
SGF 2016 Fitting Multilevel Hierarchical Mixed Models Using PROC NLMIXED Raghavendra Kurada source 15
SGF 2016 Fitting Your Favorite Mixed Models with PROC MCMC Gordon Brown,
Fang K. Chen,
Maura E. Stokes		 source 27
SGF 2016 PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design Walter W. Stroup source
zip		 19
SGF 2016 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Phil Gibbs source 21
MWSUG 2015 Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software Jill Tao,
Kathleen Kiernan,
Phil Gibbs		 18
MWSUG 2015 Plotting LSMEANS and Differences in Generalized Linear Models with GTL Robin High 9
SESUG 2015 An Intermediate Guide to Estimating Multilevel Models for Categorical Data using SAS PROC GLIMMIX Whitney Smiley,
Elizabeth A. Leighton,
Zhaoxia Guo,
Mihaela Ene,
Bethany A. Bell		 source 16
SESUG 2015 Can Fit Indices Yielded from the SAS GLIMMIX Procedure Select the Accurate Q-matrix? Yan Wang,
Yi-Hsin Chen,
Isaac Y. Li,
Chunhua Cao		 source 8
SESUG 2015 MIXED_RELIABILITY: A SAS Macro for Estimating Lambda and Assessing the Trustworthiness of Random Effects in Multilevel Models Jason A. Schoeneberger,
Bethany A. Bell		 source 10
SESUG 2015 Tips for Identifying Patient Characteristics Associated with Diagnostic Concordance between Two Measures Using SAS Seungyoung Hwang,
Johns Hopkins		 source 5
WUSS 2015 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
WUSS 2015 Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software Phil Gibbs,
Jill Tao,
Kathleen Kiernan		 source 18
WUSS 2015 SAS/STAT 14.1: Methods for Massive, Missing, or Multifaceted Data Maura E. Stokes source 25
SGF 2015 Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software Kathleen Kiernan source 18
SGF 2015 How to Use SAS for GMM Logistic Regression Models for Longitudinal Data with Time-Dependent Covariates Katherine Cai source 8
SGF 2015 Modeling Effect Modification and Higher-Order Interactions: A Novel Approach for Repeated Measures Design Using the LSMESTIMATE Statement in SAS 9.4 Pronabesh DasMahapatra,
Ryan Black		 source
zip		 6
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
SGF 2015 Multiple Ways to Detect Differential Item Functioning in SAS Yan Zhang source 9
SGF 2015 SAS/STAT 14.1: Methods for Massive, Missing, or Multifaceted Data Maura E. Stokes,
Bob Rodriguez		 source 25
SGF 2015 Using the GLIMMIX and GENMOD Procedures to Analyze Longitudinal Data from a Department of Veterans Affairs Multisite Randomized Controlled Trial Abbas S. Tavakoli,
Marlene Al-Barwani,
Sue Levkoff,
Selina McKinney,
Nikki R. Wooten		 source 11
SESUG 2014 Analyzing Multilevel Models with the GLIMMIX Procedure Min Zhu source 19
SESUG 2014 Impact of Q-matrix Misspecification on Cognitive Attribute Estimation in the Crossed Random Effects LLTM Model with the SAS GLIMMIX Procedure Yi-Hsin Chen 11
SESUG 2014 Modeling Cognitive Processes of Learning with SAS Procedures Isaac Y. Li,
Yi-Hsin Chen,
Chunhua Cao,
Yan Wang		 source 11
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
SGF 2014 %COVTEST: A SAS Macro for Hypothesis Testing in Linear Mixed Effects Models via Parametric Bootstrap Peter Ott source 9
SGF 2014 A Stepwise Algorithm for Generalized Linear Mixed Models Nagaraj Neerchal,
Jorge Morel,
Xuang Huang,
Alain Moluh		 source 11
SGF 2014 Analyzing Data from Experiments in Which the Treatment Groups Have Different Hierarchical Structures Sharon Lohr,
Peter Schochet		 source 12
SGF 2014 Analyzing Multilevel Models with the GLIMMIX Procedure Min Zhu source 18
SGF 2014 Got Randomness? SAS for Mixed and Generalized Linear Mixed Models David A. Dickey source 12
SGF 2014 Parameter Estimation of Cognitive Attributes Using the Crossed Random-Effects Linear Logistic Test Model with PROC GLIMMIX Chunhua Cao,
Yan Wang,
Yi-Hsin Chen,
Isaac Y. Li		 source 12
SGF 2014 Plotting Differences Among LS-means in Generalized Linear Models Robin High source 14
SGF 2014 SAS/STAT 13.1 Round-Up Bob Rodriguez,
Maura E. Stokes		 source 25
SESUG 2013 Comparisons of SAS Mixed and Fixed Effects Modeling for Observed over Expected Count Outcomes in the Presence of Hierarchical or Clustered Data Rachel E. Patzer source 9
SESUG 2013 Evaluating the Performance of the SAS GLIMMIX Procedure for the Dichotomous Rasch model: A Simulation Study Isaac Y. Li,
Yi-Hsin Chen,
Jeffrey D. Kromrey		 source 9
SESUG 2013 GLIMMIX_Rasch: A SAS Macro for Fitting the Dichotomous Rasch Model Yi-Hsin Chen source 10
PHUSE EU 2013 Bayesian Statistics: Concept and Bayesian Capabilities in SAS Mark Janssens source
presentation source		 15
MWSUG 2013 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
NESUG 2013 Using PROC GLIMMIX and PROC SGPLOT to Demonstrate County-level Racial Disparities in Obesity in North Carolina Lucy D'Agostino McGowan,
Melody S. Goodman		 9
SGF 2013 Multilevel Reweighted Regression Models to Estimate County-Level Racial Health Disparities Using PROC GLIMMIX Lucy D'Agostino,
Melody S. Goodman		 source 7
SGF 2013 The Value of Neighborhood Information in Prospect Selection Models: Investigating the Optimal Level of Granularity Dirk Van den Poel,
Philippe Baecke		 source 15
SESUG 2012 Compare MIXED and GLMMIX to Analyze Breast Cancer Longitudinal Study Abbas S. Tavakoli source 5
SESUG 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 source 18
MWSUG 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 18
SGF 2012 Finding the Winning Combination: An Application of Multivariate Testing from Digital Marketing Robert Krutsick source 8
SGF 2012 Handling Missing Data by Maximum Likelihood Paul D. Allison source 21
SGF 2012 Including the Salesperson Effect in Purchasing Behavior Models Using PROC GLIMMIX Philippe Baecke,
Dirk Van den Poel		 source 11
SGF 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 source 18
SCSUG 2011 Statistical comparison of relative proportions of bacterial genetic sequences Jose F Garcia-Mazcorro source 19
WUSS 2011 Beyond Breslow-Day: Homogeneity Across R x C Tables Ginny Lai source 7
MWSUG 2011 Interpreting the Differences Among LSMEANS in Generalized Linear Models Robin High 11
PharmaSUG 2011 CONTRAST and ESTIMATE Statements Made Easy: The LSMESTIMATE Statement Kathleen Kiernan,
Randy Tobias,
Phil Gibbs,
Jill Tao		 source 19
PharmaSUG 2011 Statistical Analysis of Adverse Events in Randomized Clinical Trials Using SAS Dongsun Cao,
Xiaomin He		 source 12
SGF 2011 CONTRAST and ESTIMATE Statements Made Easy: The LSMESTIMATE Statement Kathleen Kiernan,
Randy Tobias,
Phil Gibbs,
Jill Tao		 source 19
SGF 2011 Contrast Statements for Binary Responses: Comparing and Contrasting with PROC GLIMMIX Jeffrey M. Gossett,
Mary Aitken,
Beverly K. Miller,
Christopher J. Swearingen		 source 10
SGF 2011 Living with Generalized Linear Mixed Models Walter W. Stroup source 18
SGF 2011 Rasch Model and Beyond with PROC GLIMMIX: A Better Choice Teck Kiang Tan,
Wenshu Luo,
David Hogan		 source 12
SGF 2011 Repeated Measures Analysis of Correlated Data with Multiple Responses Using SAS Anbuchelvi Jeyabslasingham,
Anpalaki J. Ragavan		 source 10
WUSS 2010 Logit-based Neutral Zone Classification Algorithm with Application to Microbial Community Profiling Rebecca Le source 9
WUSS 2010 Mix-and-Match: Mixed Models for Analyzing Binary Outcomes with Matched Samples Sarah Short source 9
MWSUG 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
MWSUG 2010 Using HPMIXED and Other SAS Procedures to Efficiently Analyze Large Dimension Registry Data Matthew Fenchel,
Gary McPhail,
Rhonda D. VanDyke		 19
SESUG 2010 Fitting multivariate random-effects models using SAS PROC GLIMMIX Lei Li,
Namasivavayam Ambalavanan,
Abhik Das		 source 8
SGF 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey source 12
SGF 2010 Using the GLIMMIX Procedure to Model Hospital Quality Measured by CMS: Comparing City-Owned Hospitals, Other Safety Net Hospitals, and Hospitals for the Well-Insured Ronald B. Low source 11
SESUG 2009 Streamlining Data Analysis Edzard van Santen source 4
SGF 2009 All the Cows in Canada: Massive Mixed Modeling with the HPMIXED Procedure in SAS 9.2 Tianlin Wang source 15
SGF 2009 Comparison of Features and Applications of Four Linear Models Procedures Larry W. Douglass source 19
SGF 2008 Applying SAS Mixed-Model Procedures to Educational-Assessment Data Brian Patterson source 8
SGF 2008 Old Versus New: A Comparison of PROC LOGISTIC and PROC GLIMMIX Rebecca Christofferson source 6
SGF 2007 Growing Up Fast: SAS 9.2 Enhancements to the GLIMMIX Procedure Oliver Schabenberger source 20
SGF 2007 Using PROC NLMIXED and PROC GLMMIX to Analyze Dyadic Data with a Dichotomous Dependent Variable Peter L. McMahon,
James M. Pouget,
Enrique R. Flom		 source 10
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez		 32
SESUG 2006 Comparing Time series, Generalized Linear Models and Artificial Neural Network Models for Transactional Data Analysis Joseph Twagilimana source 9
SESUG 2006 Predictive Modeling to Analyze Hospital Charges Versus Reimbursements Chakib Battioui source 12
WUSS 2006 Hierarchical Logistic Regression Modeling with SAS GLIMMIX Jian Dai,
Zhongmin Li,
David Rocke		 source 9
NESUG 2006 Statistical analysis of clustered data using SAS Gui-Shuang Ying,
Chengcheng Liu		 13
NESUG 2006 Using PROC NLMIXED and PROC GLIMMIX to analyze dyadic data with binary outcomes Peter L. Flom,
Samuel Friedman,
James McMahon,
Enrique Pouget		 10
NESUG 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 32
PharmaSUG 2006 From GLM to GLIMMIX-Which Model to Choose? Patricia B. Cerrito 7
SUGI 2006 A Comparison of the MIXED Procedure and the GLIMMIX Procedure Jennifer L. Ferrell source 8
SUGI 2006 Analysis of Large Hierarchical Data with Multilevel Logistic Modeling Using PROC GLIMMIX Jia Li,
Toni Alterman,
James A. Deddens		 source 5
SUGI 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 source 32
MWSUG 2005 A Comparison Of Linear Mixed Models To Generalized Linear Mixed Models: A Look At The Benefits Of Physical Rehabilitation In Cardiopulmonary Patients Jennifer Ferrell 7
MWSUG 2005 Medicare Cost Estimation For Heart Disease Fariba Nowrouzi 11
MWSUG 2005 Relationship Between Total Charges And Reimbursements In Outpatient Visits Using SAS GLMMIX Chakib Battioui 6
WUSS 2005 Analysis of Group-Randomized Designs: A clinic-based breast cancer rescreening example Jesse Albert Canchola,
Regina Otero-Sabogal		 source 9
WUSS 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger source 20
NESUG 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger 20
SUGI 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger source 20

Back to keywords