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76 papers and 2 presentations; 72 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG CN 2026 Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation Jingbo Zhu,
Jiehan Zhang		 source 17
PHUSE APAC 2026 MetaSuite: Empowering Network Meta-Analysis in Clinical Research Through Interactive Visualizations and User-Friendly Evidence Synthesis Tools Hirak Sen Roy source
poster source		 12
PharmaSUG CN 2024 Implementation on concentration-QTc modeling Daoqing Li,
Deli Cao		 source 20
SESUG 2023 Wald Tests in Mixed Models - a Warning David A. Dickey source 20
PHUSE EU 2022 Performance Traps in Multiple Imputation Analysis Using Mixed Model Repeated Measures [presentation] Piotr Karasiewicz source
video		 17
PharmaSUG 2021 SAS Proc Mixed: A Statistical Programmer-s Best Friend in QoL Analyses Janaki Devi Manthena,
Varsha Korrapati,
Chiyu Zhang		 source 9
SGF 2020 A Warning about Wald Tests David A. Dickey source 20
MWSUG 2018 Bootstrap Linear Mixed-Effects Models using SAS Procedures Adams Kusi Appiah 17
SESUG 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
PharmaSUG 2016 PrecMod: An Automated Precision SAS Macro for Random Effects Models Jesse Albert Canchola,
Pari Hemyari		 source 15
SGF 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
WUSS 2015 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SGF 2014 %COVTEST: A SAS Macro for Hypothesis Testing in Linear Mixed Effects Models via Parametric Bootstrap Peter Ott source 9
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 Got Randomness? SAS for Mixed and Generalized Linear Mixed Models David A. Dickey source 12
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
MWSUG 2013 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
MWSUG 2012 Survival of the Milkman - How Modern Analytics is Helping an Old Fashioned Business Thrive Bruce Bedford 13
MWSUG 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
MWSUG 2010 PROC MIXED: Underlying Ideas with Examples David A. Dickey 19
SGF 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey source 12
MWSUG 2009 Mixed Model Selection George C. J. Fernandez 19
WUSS 2008 User-friendly SAS Macro Application for performing all possible mixed model selection - An update George C. J. Fernandez source 19
PharmaSUG 2008 Statistical Approach to Establishing Bioequivalence William F. McCarthy,
Nan Guo		 12
SGF 2008 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 18
SESUG 2007 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 19
SGF 2007 Growing Up Fast: SAS 9.2 Enhancements to the GLIMMIX Procedure Oliver Schabenberger source 20
SGF 2007 Model Selection in PROC MIXED-A User-Friendly SAS Macro Application George C. J. Fernandez source 20
MWSUG 2006 All Possible Model Selection in Proc Mixed - A SAS macro application George C. J. Fernandez 19
PHUSE EU 2006 Analysis of incomplete two-period crossover trials with SAS PROC MIXED Jochen Müller-Cohrs source 8
WUSS 2006 Model Selection Methods in PROC MIXED George C. J. Fernandez source 19
SESUG 2004 Crossover Designs and Proc Mixed In SAS Hossein N. Yarandi source 11
SESUG 2004 Mixed Model Influence Diagnostics Oliver Schabenberger source 17
WUSS 2004 Mixed Model Influence Diagnostics Oliver Schabenberger source 17
PharmaSUG 2004 Making Model Selection in Linear Mixed-Effects Models An Easy Process: A SAS Macro Procedure Henry Cheng,
Yuli Xie,
Elizabeth Reinbolt		 4
SUGI 2004 Bayesian Model Averaging Using SAS Software Melissa Whitney,
Ngo Long		 source 9
SUGI 2004 Mixed Model Influence Diagnostics Oliver Schabenberger source 18
SUGI 2004 On the Use of PROC MIXED to Estimate Correlation in the Presence of Repeated Measures Anthony C. Hamlett,
Louise Ryan,
Russell D. Wolfinger		 source 8
SESUG 2003 Statistical Analysis of Genotype X Environment Interaction in Agricultural Research K. Bondari source 6
SUGI 2003 An Introduction to the Analysis of Mixed Models Dallas E. Johnson source 4
SUGI 2003 Smoothing with SAS PROC MIXED Alexander Pedan source 5
PharmaSUG 2002 Bayesian Analysis of Population Bioequivalence Using the Independence Chain Algorithm in PROC MIXED Chain Algorithm 6
SCSUG 2000 Estimating Regression Models with Spatially-Correlated Errors Using the MIXED Procedure Sam Field 15
PharmaSUG 2000 Mixed Models Analysis Using JMP Software 4.0 George A. Milliken 6
SUGI 2000 Analysis of Environmental Data Using JMP Andy Mauromoustakos source 6
SUGI 2000 Modeling Longitudinal Growth Data and Growth Percentiles with Polynomial Gompertz Model in SAS Software Inna Perevozskaya,
Olga M. Kuznetsova		 source 6
WUSS 1999 Quantifying Regression to the Mean Using PROC MIXED Thaddeus J. Haight,
Long Ngo,
Ira Tager		 source 6
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
SEUGI 1999 SAS procedures for the estimation of quality test methods in test laboratories [presentation] Celine Bensoussan source 29
SESUG 1997 Analysis of Repeated Measures and Longitudinal Data Jane Pendergast 8
SESUG 1997 The Case of the Missing Data Maribeth H. Johnson,
Mark S. Litaker		 6
SUGI 1997 Estimation via EM-Algorithm in a Bivariate Random Effects Model Amrik Shah,
Kirk A. Easley		 source 8
SUGI 1997 Model Selection in Linear Mixed Effects Models Using SAS PROC MIXED Long Ngo,
Richard Brand		 source 6
SUGI 1997 Using Higher Order Asymptotics to Improve P-values and Confidence Intervals Given by PROC MIXED Ben Lyons,
Dawn Peters		 source 5
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
SUGI 1996 Analysis of Unbalanced Mixed Model Data Ramon C. Littell source 6
MWSUG 1995 Discussion of the Comparison of GLM and MIXED Procedures for a Repeated Measures Design: One Within and One Between Subjects Factor Michelle Secic 6
NESUG 1995 Practical Consdierations in Estimating Linear Dose Response From A Phase I/II Titration Study With Subjects As Random Effects Virginia Fitzpatrick,
Ruth Swithenbank		 7
SEUGI 1995 The Analysis of Cross-Over Study with Repeated Measures within PEriods by Using Different Covariance Structures Juhani Tuominen,
Sanna Hinkka		 source 12
SUGI 1995 Adjusted F-Tests for Repeated Measures with the MIXED Procedure S. Paul Wright source 6
SUGI 1995 Comparing the SAS GLM and MIXED Procedures for Repeated Measures Ming Chang,
Russell D. Wolfinger		 source 11
SEUGI 1994 Using PROC MIXED on Animal Growth Curves Some Initial Experiences Graham Healey source 10
SUGI 1994 Mixed Model Analysis of Data: Transition from GLM to MIXED Ramon C. Littell source 8
MWSUG 1993 Common Industrial Applications of Mixed Models Bob Obenchain 10
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
SUGI 1992 A SAS Macro for Performing Analyses of Random Effect Models of Longitudinal Data Using the IML Procedure Greg A. Grandits,
Patricia Grambsch,
Thomas Louis		 source 6
SUGI 1992 A Simulation Study of Estimators for Rates of Changes in Longitudinal Studies with Attrition Fong Wang,
Mary Lange		 source 6
SUGI 1992 Future Directions in Working with Procedure Output Christopher R. Olinger,
Robert S. Ray		 source 8
SEUGI 1991 An Example of the Use of Historical Information in the Analysis of Pharmaceutical Screening Trials Egbert Biesheuvel,
R. A. J. Wixley		 source 9
SUGI 1991 Some Motivation and Comments on Statistical Supercomputing Matthew Schall,
Weichang Li		 source 3
SUGI 1989 Multivariate Models for the Analysis of Crossover Experiments Vernon M. Chinchilli,
Ronald K. Elswick		 source 5
SUGI 1989 Variance Component Analysis Ronald R. Hocking source 4
SUGI 1987 Variance Component Estimation with the SAS System Ramon C. Littell,
Barbara G. McCutchan		 source 6
SUGI 1984 Computing for Unbalanced Repeated Measures Experiments Kenneth N. Berk source 7
SUGI 1981 On-line Estimation in Mixed Linear Models William M.Sallas source
SUGI 1981 Quirks in Linear Model Calculations for Unbalanced Data Shayle R. Searle source 8

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