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random intercept

74 papers; 65 titles.

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Conference × Year × Title × Authors Extras Pages
SESUG 2025 Navigating Model Choice in SAS: A Case-Based Decision-Support Framework for PROC REG, GLM, GENMOD, and MIXED Sriya Venkat 10
SESUG 2023 Longitudinal Analysis of Marital Therapy's Impact on Intimacy in Heterosexual Couples Yaa Awuah,
Mostafa Zahed		 source 19
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 Time After Time: D-I-D and ITS Models in SAS Margaret Warton source 21
SGF 2019 Introducing the BGLIMM Procedure for Bayesian Generalized Linear Mixed Models Amy Shi,
Fang K. Chen		 source 20
PHUSE EU 2018 Collinearity in Mixed Models John Hendrickx source
presentation source		 11
MWSUG 2018 Tips, Tricks, and Traps on Longitudinal Data Analysis with Discrete and Continuous Times Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gray Ficker,
Gretchen Piatt		 20
WUSS 2018 A latent variable location scale model for intensive longitudinal data Shelley A. Blozis source 3
WUSS 2018 Modeling Heterogeneous Within-Subject Variability Madeline Craft,
Shelley A. Blozis		 source 8
WUSS 2018 When the Mean Isn't Enough: Methods for Assessing Individual Differences using SAS Melissa McTernan source 8
SGF 2018 Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects Kathleen Kiernan source 23
SGF 2018 Using SAS for Multiple Imputation and Analysis of Longitudinal Data Patricia A. Berglund source 24
MWSUG 2017 Using SAS to Compare Two Estimation Methods on the Same Outcome: Example from First Trimester Pregnancy Weights Brandy R. Sinco,
Edith Kieffer,
Kathleen Welch,
Diana Welmerink Bolton		 15
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 Analyzing Correlated Data in SAS Niloofar Ramezani source 13
SGF 2017 Fitting a Flexible Model for Longitudinal Count Data Using the NLMIXED Procedure Darcy Morris source 6
SGF 2017 Using a Population Average Model to Investigate the Success of a Customer Retention Strategy Colleen E. McGahan source 19
SESUG 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
MWSUG 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen,
Gordon Brown,
Maura E. Stokes		 27
WUSS 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen source 27
SGF 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SGF 2016 Bayesian Inference for Gaussian Semiparametric Multilevel Models Jason Bentley,
Cathy Yuen Yi Lee		 source
zip		 19
SGF 2016 Fitting Your Favorite Mixed Models with PROC MCMC Gordon Brown,
Fang K. Chen,
Maura E. Stokes		 source 27
SGF 2016 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Phil Gibbs source 21
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
WUSS 2015 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
WUSS 2015 Pattern-Mixture Random-Effects Models for Non-Ignorable Missing Data in Longitudinal Studies Shelley A. Blozis,
Ricardo Villarreal		 source 3
WUSS 2015 Sample Size Convergence of Denominator Degrees of Freedom Method Options in SAS PROC MIXED Timothy Banh source 13
SGF 2015 How to Use SAS for GMM Logistic Regression Models for Longitudinal Data with Time-Dependent Covariates Katherine Cai source 8
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 The SEM Approach to Longitudinal Data Analysis Using the CALIS Procedure Xinming An,
Yiu-Fai Yung		 source 18
SESUG 2014 Analysis of Zero Inflated Longitudinal Data Using Proc NLMIXED Delia C Voronca,
Leonard E Egede,
Mulugeta Gebregziabher,
Ralph H. Johnson		 source 18
SESUG 2014 Analyzing Multilevel Models with the GLIMMIX Procedure Min Zhu source 19
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 An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Genine L. Blue		 source 19
SGF 2014 Analyzing Multilevel Models with the GLIMMIX Procedure Min Zhu source 18
SESUG 2013 An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Phillip R. Sherlock,
Genine L. Blue		 source 13
SGF 2013 %MIXED_FIT: A SAS Macro to Assess Model Fit and Adequacy for Two-Level Linear Models Bethany A. Bell,
Mihaela Ene,
Whitney Smiley		 source
pdf		 8
SGF 2013 A Multilevel Model Primer Using SAS PROC MIXED Bethany A. Bell,
Jason A. Schoeneberger,
Mihaela Ene,
Whitney Smiley		 source 19
SGF 2013 Modeling Change over Time: A SAS Macro for Latent Growth Curve Modeling Pei-Chin Lu,
Robert Pearson		 source 12
SESUG 2012 %MIXED_FIT: A SAS Macro to Assess Model Fit and Adequacy for Two-Level Linear Models Mihaela Ene source 8
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 Handling Missing Data by Maximum Likelihood Paul D. Allison source 21
SGF 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 source 18
SCSUG 2011 A Simulation Study for Power Analysis in a Longitudinal Study Using SAS Ravi Lingineni source 4
SESUG 2011 Graphing a Progression of Time Series Plots Nathaniel Derby source 11
WUSS 2011 Graphing a Progression of Time Series Plots with ODS Graphics Nathaniel Derby source 11
PHUSE EU 2011 Use of early longitudinal viral load as a surrogate to the virologic endpoint in Hepatitis C Igwebuike Enweonye source
presentation source		 12
MWSUG 2011 Graphing a Progression of Time Series Plots with ODS Graphics Nathaniel Derby,
Laura Vo,
Perry Watts		 11
PharmaSUG 2011 Implementation of Pairwise Fitting Technique for Analyzing Multivariate Longitudinal Data in SAS Madan G. Kundu source 12
WUSS 2010 Graphing a Progression of Time Series Plots Nathaniel Derby source 9
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
PharmaSUG 2010 Linear Mixed Models in Clinical Trials using PROC MIXED Danyang Bing,
Xiaomin He		 12
WUSS 2009 A Beginner's Example of PROC MIXED for the Analysis of Letter Identification Using Reaction Time Sarah R. Greene source 4
PharmaSUG 2008 Sample Size Estimation Through Simulation of a Random Coefficient Model by Using SAS Junliang Chen,
Shannon Stock,
Chunqin Deng		 8
SGF 2007 Attitudes toward Immigrants and Immigration in the United States: Toward a Structural Approach Michael J. Sobczak source 12
SGF 2007 Growing Up Fast: SAS 9.2 Enhancements to the GLIMMIX Procedure Oliver Schabenberger source 20
SGF 2007 Marginal Interpretation of Subject-Specific Curves: Logistic-Normal Regression Pedro A. Macchiavelli,
Raul Torres		 source 10
SGF 2007 Using SAS PROC NLMIXED for Robust Regression Steven A. Chen,
Lingyun Gilbert		 source 9
WUSS 2006 Hierarchical Logistic Regression Modeling with SAS GLIMMIX Jian Dai,
Zhongmin Li,
David Rocke		 source 9
SUGI 2006 %hlmdata and %hlmrmpower: Traditional Repeated Measures vs. HLM for Multilevel Longitudinal Data Analysis?Power and Type I Error Rate Comparison Hua Fang source 11
SUGI 2005 Analyzing Incomplete Binary Repeated Measures Data Using SAS Bin Yang source 8
PharmaSUG 2004 Traditional Repeated Measures Analysis Versus Random Coefficients Models Using PROC MIXED Radhi Abdulnabi 9
SUGI 2004 Fitting Longitudinal Mixed Effect Logistic Regression Models with the NLMIXED Procedure Peter H. Van Ness,
John R. O'Leary,
Amy L. Byers,
Terri R. Fried,
Joel A. Dubin		 source 7
SCSUG 2001 Individual Growth Analysis Using PROC MIXED Maribeth H. Johnson 7
MWSUG 1999 Longitudinal Data Analysis Repeated-Measure ANOVA and Mixed Models Nancy E. Briggs,
Ching-Fan Sheu		 6
MWSUG 1999 Using PROC MIXED in Hierarchical Linear Models: Examples from two- and three-level school-effect analysis, and meta-analysis research Sawako Suzuki,
Ching-Fan Sheu		 8
WUSS 1996 SAS PROC MIXED to Fit Growth Curve Models: Application to a Longitudinal Group Randomization Study Biao Wm. Lu,
Sandra Wilson,
David Latini,
David Dayton		 source 6
SEUGI 1993 A New Look at the Facilities in PROC MIXED James L. Roger source 12
SESUG 1993 Repeated Measures Using PROC MIXED Instead of PROC GLM James H. Roger,
Michael Kenward		 10

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