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401 papers and 2 presentations; 375 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 Navigating Model Choice in SAS: A Case-Based Decision-Support Framework for PROC REG, GLM, GENMOD, and MIXED Sriya Venkat 10
PHUSE US 2024 Analysis of Same Objective - Different SAS Procedures: How to Choose a SAS Procedure Wisely for a Statistical Analysis? Pradeep Acharya,
Ephicacy Lifescience		 source
presentation source		 9
SESUG 2023 Wald Tests in Mixed Models - a Warning David A. Dickey source 20
SGF 2020 A Warning about Wald Tests David A. Dickey source 20
SGF 2020 From Santiago to the Spirit Lake Nation: 30 Things I Learned in 30 Years as a Statistical Consultant AnnMaria De Mars source 20
SGF 2020 Using Factor Analysis and MANOVA to Explore Academic Achievement in the 2016 Monitoring the Future Survey Data Stefanie Kairs source 20
SGF 2020 Using SAS Customer Intelligence 360 Multivariate Testing to Determine Incremental Campaign Revenue Mia Patterson-Brennan,
Kate Davies		 source 16
PHUSE US 2020 The Importance of General Linear Models (GLMs) in Clinical Research Ritesh Dhimmar,
Venkata Ikkurthy		 source 12
PHUSE EU 2019 Mixed Model Repeated Measures (MMRMs) Mrudula Suryawanshi source
presentation source		 19
SESUG 2019 Advanced Statistical Modeling within Machine Learning and Big Data Analytics Niloofar Ramezani,
George Mason		 source 16
SESUG 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
WUSS 2019 Statistical Power Calculations Using SAS Software Russell M. Lavery source 18
PharmaSUG 2019 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Karlen Bader		 source 21
SGF 2019 Monitoring the Relevance of Predictors for a Model Over Time Ming-Long Lam source 16
SGF 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
SGF 2019 The Relationship Between Social Determinants of Health and Healthcare Utilization Ryan C. Butterfield,
Melissa Gottschalk,
Laura Soloway,
Paul A. LaBrec		 source 16
SESUG 2018 Computing Predicted Values and Residuals from Data Sets Containing Classification Variables with Large Numbers of Levels Jamie McClave Baldwin,
Ramon C. Littell,
James McClave		 source 14
SESUG 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 22
MWSUG 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Karlen Bader		 22
MWSUG 2018 Square Peg, Square Hole-Getting Tables to Fit on Slides in the ODS Destination for PowerPoint Jane Eslinger 18
WUSS 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory source 21
PharmaSUG 2018 Square Peg, Square Hole-Getting Tables to Fit on Slides in the ODS Destination for PowerPoint Jane Eslinger source 18
SGF 2018 A SAS Macro Implementation of a Test for Co-directional Interactions Julia Sharp,
Patrick Gerard,
Bereket Tesfaldet		 source 16
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
SGF 2018 Square Peg, Square Hole-Getting Tables to Fit on Slides in the ODS Destination for PowerPoint Jane Eslinger source 18
SGF 2018 Using Cluster Analysis to Maximize Workplace Design Effectiveness Renae Rich source 10
SESUG 2017 Tornado Inflicted Damages Pattern Vasudev Sharma source 11
MWSUG 2017 AIR Binder 2.0: A Dynamic Visualization, Data Analysis and Reporting SAS Application for Preclinical and Clinical ADME Assays, Pharmacokinetics, Metabolite Profiling and Identification Hao Sun,
Kristen Cardinal,
Richard Voorman		 26
MWSUG 2017 Tornado Inflicted Damages Pattern Vasudev Sharma 11
PharmaSUG 2017 Same statistical method different results? Don-t panic the reason might be obvious. Iryna Kotenko source 8
SGF 2017 Exploration of Information Technology-Related Barriers Affecting Rural Primary Care Clinics Ipe Simon Paramel,
Ankita Srivastava,
Onkar Jadhav,
Jennifer Briggs,
Georgina Ankrah		 source 11
SGF 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez,
Phil Gibbs		 source 19
SCSUG 2016 An Ad Hoc Method for Computing Pseudo Effect Size for Mixed Models Kathryn G. Tippey,
Michael T. Longnecker		 source 7
MWSUG 2016 An Animated Guide: Penalized variable selection techniques in SAS and Quantile Regression Russell M. Lavery,
Peter Flom		 24
MWSUG 2016 Assessing the Impact of Communication Channel on Behavior Changes in Energy Efficiency Angela Wells,
Ashlie Ossege		 14
MWSUG 2016 Automating the Process of Generating Publication Quality Regression Tables through SAS Base Programming Ji Qi 16
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 Demystifying the CONTRAST and ESTIMATE Statement Hector Lemus source 13
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 D-I-D you do that? Basic Difference-in-Differences Models in SAS Margaret Warton,
Melissa Parker,
Andrew Karter		 source 11
PharmaSUG 2016 Mixed Effects Models Yan Wang source 7
SGF 2016 Holiday Demand Forecasting in the Utility Industry Rain Xie,
Alex Chien		 source 13
SGF 2016 Predicting Forest Fire Occurrence and Incremental Fire Rate Using SAS 9.4 and SAS Enterprise Miner 14.1 Quyen Nguyen source 12
SGF 2016 Quantitle Regression versus Ordinary Least Squares Regression Ruth Croxford source 10
SGF 2016 Using Propensity Score Analyses to Adjust for Selection Bias: A Study of Adolescent Mental Illness and Substance Use Deanna Naomi Schreiber-Gregory source 7
SGF 2016 Using SAS to Implement Simultaneous Linking in Item Response Theory Lili Yao source 6
MWSUG 2015 Using SAS for the Longitudinal Analysis of Difference Scores Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gloria Palmisano,
Gretchen Piatt,
Michele Heisler		 14
MWSUG 2015 Utilizing Propensity Score Analyses to Adjust for Selection Bias: A Study of Adolescent Mental Illness and Substance Use Deanna Naomi Schreiber-Gregory 7
WUSS 2015 Introduction to SAS Quantile Regression (PROC QuantSelect and PROC QuantReg ) Peter L. Flom source 25
PharmaSUG 2015 Means Comparisons and No Hard Coding of Your Coefficient Vector - It Really Is Possible! Frank J. Tedesco source 8
PharmaSUG 2015 Using ANCOVA to Assess Regression to the Mean Kathryn Schurr source 9
SGF 2015 Assessing the Impact of Communication Channel on Behavior Changes in Energy Efficiency Angela Wells,
Ashlie Ossege		 source 14
SGF 2015 Data Summarization for a Dissertation: A Grad Student How-To Paper Elisa L. Priest,
Ashley Collinsworth		 source 8
SGF 2015 GEN_OMEGA2: A SAS Macro for Computing the Generalized Omega-Squared Effect Size Associated with Analysis of Variance Models Anh P. Kellermann,
Yi-Hsin Chen,
Jeffrey D. Kromrey,
Thanh Pham,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Jeanine L. Romano		 source 12
SGF 2015 Introduce a Linear Regression Model by Using the Variable Transformation Method [presentation] Nancy Hu source
zip		 12
SGF 2015 Sums of Squares: The Basics and a Surprise Sheila Barron,
Michelle Mengeling		 source 8
SGF 2015 The %ic_mixed Macro: A SAS Macro to Produce Sorted Information Criteria (AIC and BIC) List for PROC MIXED for Model Selection Qinlei Huang source 16
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 Evaluating Additivity of Health Effects of Exposure to Multiple Air Pollutants Given Only Summary Data Pollutants Given source 9
SESUG 2014 Overview of Analysis of Covariance (ANCOVA) Using GLM in SAS Abbas S. Tavakoli source 10
PHUSE EU 2014 R for SAS Programmers: It's Different, but Friendly Friedrich Schuster source
presentation source		 10
MWSUG 2014 ANCOVA (Analysis of Covariance): A Visual, Intuitive Understanding Michael Senderak 12
MWSUG 2014 Understanding Change through Different Methodological Lens Jie Liao 12
PharmaSUG 2014 %ME: A SAS Macro to Assess Measurement Equivalence for Patient-Reported Outcome Measures Qinlei Huang source 8
SGF 2014 Combining Type-III Analyses from Multiple Imputations Binhuan Wang,
Yixin Fang,
Man Jin		 source 6
SGF 2014 Comparison of Five Analytic Techniques for Two-Group, Pre-Post Repeated Measures Designs Using SAS J. Madison Hyer,
Jennifer L. Waller		 source 8
SGF 2014 Power and Sample Size for MANOVA and Repeated Measures with the GLMPOWER Procedure John M. Castelloe source 20
SGF 2014 Using SAS to Evaluate Patient-Directed Quality of Care Interventions Scott P. Leslie source 10
WUSS 2013 "How Do I...?" There Is More Than One Way To Solve That Problem; Why Continuing To Learn Is So Important Arthur L. Carpenter source 20
WUSS 2013 Repeated Measures ANCOVA with the MIXED and GLM Procedures: Examining an Intervention to Reduce Childhood Obesity Lauren Cook,
Jaimie N. Davis,
Donna Spruijt-Metz,
Nicole Gatto		 source 6
SESUG 2013 Does the Percentage of College Students and Military Personnel Affect Jamelle Simmons source 9
SESUG 2013 Does the Percentage of College Students and Military Personnel Affect Political Contributions Per Zip Code? Visualization with PROC GMAP Jamelle Simmons source 9
SESUG 2013 GEN_OMEGA2: A SAS Macro for Computing the Generalized Omega-Squared Effect Size Associated with Analysis of Variance Models Squared Effect Size Associated source 10
MWSUG 2013 "How Do I...?" There Is More Than One Way To Solve That Problem; Why Continuing To Learn Is So Important Arthur L. Carpenter 20
PharmaSUG 2013 "How Do I...?" There Is More Than One Way To Solve That Problem; Why Continuing To Learn Is So Important Arthur L. Carpenter source 20
SGF 2013 "How Do I...?" There Is More Than One Way To Solve That Problem; Why Continuing To Learn Is So Important Arthur L. Carpenter source 19
SGF 2013 A Case Study of Tuning an Enterprise Business Intelligence Application in a Multi-OS Environment Fred R. Forst source 16
SGF 2013 Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses David J. Pasta source 19
SGF 2013 GEN_ETA2: A SAS Macro for Computing the Generalized Eta-Squared Effect Size Associated with Analysis of Variance Models Anh P. Kellermann,
Jeanine L. Romano,
Jeffrey D. Kromrey,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Thanh Pham,
Yi-Hsin Chen		 source
pdf		 10
SGF 2013 Having an EFFECT: More General Linear Modeling and Analysis with the New EFFECT Statement in SAS/STAT Software Jill Tao,
Kathleen Kiernan,
Phil Gibbs,
Randy Tobias		 source 14
WUSS 2012 Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses David J. Pasta source 19
WUSS 2012 Sample Size Calculation and Power Analysis for Design of Experiments Using Proc Glmpower Chii Dean source 10
WUSS 2012 The Steps to Follow in a Multiple Regression Analysis Theresa H. Ngo source 12
SGF 2012 Wallet and Share of Wallet Estimation: A Flexible Methodology Shira Witelson source 15
SESUG 2011 RDPLOT: A SAS Macro for Generating Regression Discontinuity Plots Jason A. Schoeneberger source 13
WUSS 2011 What's happening if there is "B" in the general linear modeling output? Jason Shilong Kuang source 5
PHUSE EU 2011 Modifying Results of proc glm with proc template Catalina Mejia Herrera,
Volker Harm		 source
poster source		 7
PharmaSUG 2011 CONTRAST and ESTIMATE Statements Made Easy: The LSMESTIMATE Statement Kathleen Kiernan,
Randy Tobias,
Phil Gibbs,
Jill Tao		 source 19
SGF 2011 CONTRAST and ESTIMATE Statements Made Easy: The LSMESTIMATE Statement Kathleen Kiernan,
Randy Tobias,
Phil Gibbs,
Jill Tao		 source 19
SGF 2011 Living with Generalized Linear Mixed Models Walter W. Stroup source 18
SGF 2011 Race/Ethnic Differences in Carotid Stiffness and Diameter Using PROC GLM Matthew S. Markert source 10
SGF 2011 Repeated Measures Analysis of Correlated Data with Multiple Responses Using SAS Anbuchelvi Jeyabslasingham,
Anpalaki J. Ragavan		 source 10
SGF 2011 To Hash or Not To Hash! That Is the Question!! When it Comes to SQL!!! Mustaq Ahmad source 12
NESUG 2010 A SAS Application to Identify and Evaluate Outliers Richard Hendra,
Paulette W. Staum		 16
NESUG 2010 Wallet and Share of Wallet Estimation: A Flexible Methodology Shira Guil Witelson 15
WUSS 2010 An Introduction to Statistical Tests for the SAS Programmer Sara Beck source 10
WUSS 2010 Answering Your Research Questions with Descriptive Statistics Diana D. Suhr source 7
WUSS 2010 Answering Your Research Questions with Inferential Statistics Diana D. Suhr source 10
WUSS 2010 Planned Contrasts and Post Hoc Tests in MANOVA Made Easy Chii-Dean Joey Lin source 8
PHUSE EU 2010 Useful Tips for Analysis of Variance (ANOVA) in Multicentre, Placebo Controlled Clinical Trials Joanna Romaniuk source
presentation source		 12
MWSUG 2010 PROC MIXED: Underlying Ideas with Examples David A. Dickey 19
SESUG 2010 ES_ANOVA: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Analysis of Variance Models Jeffrey D. Kromrey,
Bethany A. Bell		 source 10
SESUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Bob Rodriguez,
Robert A. Cohen		 source 20
PharmaSUG 2010 Linear Mixed Models in Clinical Trials using PROC MIXED Danyang Bing,
Xiaomin He		 12
PharmaSUG 2010 SAS Programmer's check list-Quick checks to be done before the statistical reports go off the SAS Programmer's table Thomas T. Joseph 7
PharmaSUG 2010 Using SAS to Compute Partial Correlation Jianxin Lin,
Aiming Yang,
Arvind Shah		 5
SGF 2010 Fundamental Diagnostics for Two-Level Mixed Models: The SAS Macro MIXED_DX Bethany A. Bell,
Jason A. Schoeneberger,
Grant B. Morgan,
Jeffrey D. Kromrey,
John M. Ferron		 source 12
SGF 2010 Introducing PROC PLM and Postfitting Analyses in Very General Linear Models Randy Tobias,
Weijie Cai		 source 18
SGF 2010 Practicalities of Using ESTIMATE and CONTRAST Statements David J. Pasta source 20
SGF 2010 SAS 9.2 Business Analytics Framework and IBM PowerVM Virtualization Deployment Scenarios Darrell Barton,
Frank Battaglia,
Alfredo Mendoza		 source 12
SGF 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Robert N. Rodriguez		 source 20
SESUG 2009 MIXED_DX: A SAS Macro for Two-Level Linear Model Diagnostics Bethany A. Bell,
Grant B. Morgan,
Jason A. Schoeneberger,
John M. Ferron,
Jeffrey D. Kromrey		 source 17
PHUSE EU 2009 Analysis of a 3-period 2-treatment pharmacokinetic study to assess scaled average bioequivalence Jochen Müller-Cohrs source 11
PNWSUG 2009 Building Multiple Linear Regression Models - Food for Thought Colleen E. McGahan,
Mei Chong		 11
PNWSUG 2009 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
NESUG 2009 Using Macros to Build a Robust, Data Driven Proc GLM Ginger Lewis,
Frank J. Tedesco		 9
WUSS 2009 Using SAS for Nonparametric Statistics Gerry Hobbs source 7
PharmaSUG 2009 Image is Almost Everything: Displaying Statistics Via ODS R. Scott Leslie 8
SGF 2009 Comparison of Features and Applications of Four Linear Models Procedures Larry W. Douglass source 19
SGF 2009 Image is Almost Everything: Displaying Statistics Via ODS R. Scott Leslie source 8
WUSS 2008 Image is Almost Everything: Displaying Statistics Via ODS R. Scott Leslie source 5
WUSS 2008 Using Propensity Scores To Adjust For Treatment Selection Bias R. Scott Leslie source 7
PHUSE EU 2008 An Introduction to ODS Statistical Graphics Ian Sedgwick source 15
PHUSE EU 2008 Delivering Statistics - a Workflow Supported by the SAS Stored Processes Volker Harm source 8
PHUSE EU 2008 Statistics for Non-Statisticians Shambhavi Nayak source 10
PNWSUG 2008 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
NESUG 2008 Understanding Why Physicians Choose A Certain Drug When Treating A Patient - What Product Attributes Matter Most Marc States 5
PharmaSUG 2008 Approximate Simultaneous Nonparametric Confidence Intervals for All Pair-Wise Comparisons and Comparisons with a Designated (Control) Group in a One-Way Layout Using the SAS System Paul Juneau,
Aditya Sikka,
Jiawei Qiao,
Michelle Gayari		 19
PharmaSUG 2008 TPHREG and GLMSELECT: Using the CLASS statement in SAS 9.1 Laura E. Archer 11
PharmaSUG 2008 Using ESTIMATE and CONTRAST Statements for Customized Hypothesis Tests Hanyu Chen 8
SGF 2008 Adventures in ODS: Producing Customized Reports Using Output from Multiple SAS Procedures Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park		 source 23
SGF 2008 ODS and Output Data Sets: What You Need to Know Myra A. Oltsik source 13
SGF 2008 On Predicting Log-Transformed Linear Models with Heteroscedasticity Siwei Jia source 6
SGF 2008 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 18
NESUG 2007 Application of Ghosh, Grizzle and Sen's Nonparametric Methods in Longitudinal Studies Using SAS PROC GLM Chan Zeng,
Gary Zerbe		 14
NESUG 2007 Common Pitfalls in SAS Statistical Analysis Macros in a Mass Production Environment Huei-Ling Chen,
Aiming Yang		 9
SESUG 2007 Maryland Region Meteorologically Adjusted Ground-Level Ozone Trend Analysis Ozone Trend source 16
SESUG 2007 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 19
WUSS 2007 New SAS/GRAPH Procedures for Creating Statistical Graphics Cleester D. Heath source 16
WUSS 2007 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
SGF 2007 Effect Modification Investigation Using SAS - A Model-Building Exercise Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson		 source 11
SGF 2007 New SAS/GRAPH Procedures for Creating Statistical Graphics in Data Analysis Dan Heath source 16
PNWSUG 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez		 32
MWSUG 2006 Dependent Scores within KAI and MBTI Instruments Marie Risov 9
SCSUG 2006 Flattening Dependent Tables from Relational Databases for Use in SAS Processing David Welch 34
SCSUG 2006 Some SAS Techniques Used in Insurance Business Wei Yu 4
PHUSE EU 2006 Adding (p-) Value to Tables -- a Programmer''s Perspective Kathryn Wright source 10
SESUG 2006 Creating RTF Tables with Univariate Analyses of Multiply Imputed Data Marie Gantz source 14
SESUG 2006 Effect Modification Investigation Using SAS - A Model Building Exercise Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson		 source 10
SESUG 2006 Predictive Modeling to Analyze Hospital Charges Versus Reimbursements Chakib Battioui source 12
SESUG 2006 ST09 Application of the Generalized Linear Model to the Prediction of Lung Cancer Survival Andrew Karem source 18
WUSS 2006 Have It Both Ways: Macros that Produce Publication-Quality Tables and Stand-alone Code Linda Collins,
Lisa Kaye Brooks,
Michael Rea,
Alan Hopkins		 source 19
WUSS 2006 PROC GENMOD with GEE to Analyze Correlated Outcomes Data Using SAS Tyler C. Smith,
Besa Smith		 source 14
WUSS 2006 Sample Survey Data and the Procs you OUGHT To Be Using David L. Cassell source 13
WUSS 2006 The Basics of Structural Equation Modeling Diana D. Suhr source 19
WUSS 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
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 %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 2006 A Comparison of the MIXED Procedure and the GLIMMIX Procedure Jennifer L. Ferrell source 8
SUGI 2006 Fixed Effects Regression Methods in SAS Paul D. Allison source 20
SUGI 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
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 Calculation Of Health Disparity Indices Using Data Mining And The SAS Bridge To ESRI Mussie A. Tesfamicael 9
MWSUG 2005 Relationship Between Total Charges And Reimbursements In Outpatient Visits Using SAS GLMMIX Chakib Battioui 6
MWSUG 2005 What's New And Upcoming In SAS 9 ODS Tim Hunter 38
WUSS 2005 A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED MaryAnne DePesquo Hope source 7
PharmaSUG 2005 Using Procedure-Based ODS Data Components in Statistical Reporting Vincent J. Faber 10
SUGI 2005 A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED Erin D. Shannon,
MaryAnne DePesquo Hope		 source 7
SUGI 2005 Using Procedure-Based ODS Data Components in Statistical Reporting Vincent J. Faber source 10
SESUG 2004 A Simulation Study to Evaluate ANOVA and GEE for Comparing Correlated Proportions with Missing Values Mark S. Litaker source 6
SESUG 2004 Crossover Designs and Proc Mixed In SAS Hossein N. Yarandi source 11
WUSS 2004 Cut Out The Cut And Paste: SAS Macros For Presenting Statistical Output Myungshin Oh,
Mel Widawski		 source 9
WUSS 2004 It's a P-value, All Right - but is it the Right One? Linda Collins source 6
WUSS 2004 PROC GENMOD for Analysis of Correlated Outcome Data Using the LOGIT Link Function Tyler C. Smith,
Besa Smith,
William Honner,
Ming Ji		 source 14
PharmaSUG 2004 "Dualing" Arrays: Reducing DATA Step Passes with Array Look-Ups Nancy Brucken,
Lisa R. Reeves		 7
PharmaSUG 2004 SAS Application in 2x2 Crossover Clinical Trial Wuwei Wayne Feng 10
SUGI 2004 Assessing Model Fit and Finding a Fit Model Margaret L. Bogle,
Rajiv Goel,
Robert M. Hamer,
Chan-Hee Jo,
Eric Siegel,
Pippa M. Simpson		 source 17
SUGI 2004 Taking a Deeper Look into the SAS Intelligence Architecture: How to use AIX Tools to Examine Interactions of Base SAS with the IBM pSeries Platform Frank M. Bartucca,
Laurie Jeagers		 source 10
WUSS 2003 Advanced Analytics with Enterprise Guide Catherine Truxillo,
Stephen McDaniel		 source 9
WUSS 2003 Answering Your Questions with Statistics Diana D. Suhr source 6
WUSS 2003 Presenting Logistic Regression Models to Non-Statisticians: Adjusted Probabilities and Adjusted Risk Ratios David J. Pasta,
Miriam G. Cisternas		 source 4
SESUG 2003 Bulletproofing and Knowledge Encapsulation in Statistical Macros John K. Troxell source 4
SESUG 2003 Comparison of PROC MIXED and PROC GLM for Analysis of Repeated Measures Data Hossein N. Yarandi source 6
NESUG 2003 SAS Backwards: Helping SAS and SPSS Students Speak the Same Language Joseph J. Guido,
Adam B. Rains		 14
PharmaSUG 2003 Performance Tuning of Java-based Application Development for Clinical Pharmacogenomics Associations Zongwei Shen,
Richard Judson,
Robert Tracy,
Theodore Kalbfleisch		 4
SUGI 2003 Estimating Standard Errors for CLASS Variables in Generalized Linear Models Using PROC IML David J. Pasta,
Miriam G. Cisternas		 source 6
SCSUG 2002 Statistical Pattere Recognition Using Enterprise Miner and Self-Organizing Maps Keith A. Jones 8
NESUG 2002 Temporal Optimization: Convergence of Time Series and Linear Modeling for Selecting Portfolio Strategies Haftan M. Eckholdt 3
SESUG 2002 Integrating SAS Analytics with Microsoft-based Desktop Applications Sam Yamamura source 6
SESUG 2002 Using ODS to Capture Statistics from PROC GLM Frank L. Roediger source 6
WUSS 2002 A Randomization-Test Wrapper for SAS PROCs Christopher F. Ake,
David L. Cassell		 source 4
SEUGI 2002 SAS Meets Big Iron: High Performance Computing in SAS Analytic Procedures [presentation] Robert A. Cohen source 61
PharmaSUG 2002 Bulletproofing and Knowledge Encapsulation in Statistical Macros John K. Troxell 4
PharmaSUG 2002 Java Application Development for Analyzing Clinical Pharmacogenomics Data Zongwei Shen,
Robert Tracy,
Richard Judson		 4
SUGI 2002 A Randomization-Test Wrapper for SAS PROCs David L. Cassell source 4
SUGI 2002 Robust Regression and Outlier Detection with the ROBUSTREG Procedure Colin Chen source 13
MWSUG 2001 Using The SAS Mixed Procedure to Analyze the Repeated Measures Data Hongsen Zhou 9
VIEWS 2001 The Version 8 Applied Statistician David Shannon 15
WUSS 2001 PROC GLM or PROC CALIS? Diana D. Suhr source 5
SESUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe source 13
PharmaSUG 2001 The Basics of ODS and Templates for Data Analysis Sandy McNeill 20
SUGI 2001 A Macro Program for ANOVA or ANCOVA, Using PROC GLM or PROC MIXED Zaizai Lu,
David Shen		 source 4
SUGI 2001 Model Fitting in PROC GENMOD Jean G. Orelien source 6
SUGI 2001 Probabilistic Hindsight: A SAS Macro for Retrospective Statistical Power Analysis Kristine Y. Hogarty,
Jeffrey D. Kromrey		 source 10
SUGI 2001 PROC GLM or PROC CALIS? Diana D. Suhr source 3
SUGI 2001 Using SAS to Minimize Exposure and Maximize Compliance Stephen B. Sloan source 3
SCSUG 2000 Repeated-Measures Analysis and PROC MIXED Shana Smith,
Torsten B. Neilands		 17
SESUG 2000 Computation of pvalues for Multiple Comparisons with a Control in the SAS System Jean G. Orelien source 9
WUSS 2000 SAS STAT applications in Econometrics Mathura Thillainathan,
George C. J. Fernandez		 source 10
SUGI 2000 Deploying the SAS System using Windows NT Server, Terminal Server Edition Daniel M. McLaren source 6
SUGI 2000 Mixed-Up Mixed Models: Things That Look Like They Should Work But Don't, and Things That Look Like They Shouldn't Work But Do Robert M. Hamer,
Pippa M. Simpson		 source 8
SUGI 2000 Multiple Comparisons with a Control in GEE Models Jean G. Orelien,
Jun Zhai,
Richard W. Morris		 source 6
SUGI 2000 Publishing Statistical Analyses on the Web Using Version 7 of the SAS System David J. Meade,
Scott Lacey		 source 6
SESUG 1999 Analysis of Longitudinal Data: Comparison between PROC GLM and PROC MIXED Maribeth H. Johnson source 6
NESUG 1999 The missing link: PROC GENMOD Margaret Ann Goetz 3
MWSUG 1999 Longitudinal Data Analysis Repeated-Measure ANOVA and Mixed Models Nancy E. Briggs,
Ching-Fan Sheu		 6
MWSUG 1999 REG, GLM, ANOVA: Which One? Why? How? Linda M. Quinn 6
SUGI 1999 Fitting a Multisource Regression Model with Random Slopes, A Fisheries Application of SAS PROC MIXED Robert G. Downer,
Mark C. Benfield		 source 5
SUGI 1999 Twisty Turny Passages, All Alike ODS Templates Exposed Christopher R. Olinger source 18
MWSUG 1998 Using PROC MIXED To Analyze a Repeated Measures Design Keith Dunnigan 6
WUSS 1998 Estimating Standard Errors of Treatment Effects for Probit Models and for Linear Models of Log-Transformed Variables with PROC IML David J. Pasta,
Miriam Cisternas,
Cynthia L. Williamson		 source 6
WUSS 1998 New SAS Procedures for Analysis of Sample Survey Data Anthony B. An,
Donna L. Watts		 source 11
NESUG 1998 Don't Panic When Your Favorite SAS PROC is Not Forwarded to the Next Version Release Scott LaPorte 3
SESUG 1998 Long verses Wide - A Different Way of Looking at SAS Coding Richard Goldsmith 6
SESUG 1998 Multiple Comparison Procedures with SAS Chung-Kuei Chang 9
PNWSUG 1998 Stepwise Anything: Reading in Regression Procedure Output for Further Testing Ted Clay,
Linda Remy		 10
SEUGI 1998 GLM and MIXED procedures to treat longitudinal data Sandrine Laguerre source 9
SUGI 1998 A Macro for Converting Mean Separation Output to Letter Groupings in PROC MIXED Arnold M. Saxton source 4
SUGI 1998 A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis Ralph G. O'Brien source 10
SUGI 1998 CHEKOU T : A SAS Program to Screen for Outliers James Handsfield source 3
SUGI 1998 New SAS Procedures for Analysis of Sample Survey Data Anthony B. An,
Donna L. Watts		 source 11
WUSS 1997 Testing Homogeneity of Variance Shuqiang Zhang source 4
WUSS 1997 The Sums of Squares Are All the Same - How Can the LSMEANS Be So Different? Lori Potter,
David J. Pasta		 source 6
WUSS 1997 You Want Me to Put HOW MANY Numbers in this Document? Cynthia L. Williamson source 8
NESUG 1997 Estimation of Direct, Period and Carryover Effects in Crossover Studies Mitchell Kotler 7
SESUG 1997 Analysis of Repeated Measures and Longitudinal Data Jane Pendergast 8
SESUG 1997 One Trainer's Method of Workshop Design Teresa Wilson 9
SEUGI 1997 A multi-level logical drill down application based on trend data output from PROC GLM Nya Murray source 3
SUGI 1997 Creating Clinical Trial Summary Tables Containing P-Values: A Practical Approach Using Standard SAS Macros Jun Zuo,
Carl R. Haske		 source 6
SUGI 1997 Introduction to Building a Linear Regression Model Leslie A. Christensen source 7
SUGI 1997 Reports Based on SAS Output: Taking Advantage of PROC PRINTTO, DATA Steps and PROC GPRINT Lauren E. Haworth source 9
SUGI 1997 SAS/INSIGHT Software or JMP Software: A Comparison Andy Mauromoustakos source 3
SESUG 1996 Generalized Linear Models (Logistic Regression), a Comparison of Available Options and Output from the Catmod, Probit, Logistic, and Genmod Procedures Margaret A. Connolly 6
NESUG 1996 BIOEQ4: Bioequivalence Macro to Create both Table and SAS data set according to the FDA Bioequivalence Guidelines Issued in 1992 Mary Kay McPherson 6
NESUG 1996 The Bisquare Weighted Analysis of Variance: A Technique for Nonnormal Distributions Rebecca Regeth,
William Stine		 9
WUSS 1996 Repeated Measures Analysis with the SAS System Kathleen Kierman source 10
PNWSUG 1996 Reports Based on SAS Output: Takinf Advantage of PROC PRINTTO, DATA STEPS and PROC GPRINT Lauren E. Haworth 6
SUGI 1996 A Plan to Implement the LlMU Model by a Slight Modification of the Current MIXED Procedure Mark X. Norleans source 5
SUGI 1996 Analysis of Unbalanced Mixed Model Data Ramon C. Littell source 6
SUGI 1996 Repeated Measures - A Better way? Edith Flaster source 10
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
MWSUG 1995 Hypothesis Testing & Confidence Interval Estimation via the Least Absolute Value (LAV) Approach Tom G. Filloon 6
NESUG 1995 A Macro That Generates the PROC GLM LSMEANS Table from the LSMEANS Output Data Set Michael A. Walega 2
NESUG 1995 Power Analysis: Prospective Use of a SAS Macro John F. Walsh 3
SUGI 1995 Comparing the SAS GLM and MIXED Procedures for Repeated Measures Ming Chang,
Russell D. Wolfinger		 source 11
SUGI 1995 Modeling Variation in Repeated Measures Data Ramon C. Littell source 5
SUGI 1995 Robust Analysis Adds M-uscle to Data Analyses E. Charlene Drago,
Tom Filloon		 source 6
WUSS 1994 A SAS MACRO for the Ricardian Model of International Trade Zaki Eusufzai source 17
WUSS 1994 An Effective Method to Construct Coefficients in CONTRAST and ESTIMATE Statements Used in ANOVA George C. J. Fernandez source 17
WUSS 1994 Examination of the Importance of Root Hairs in Plant Water-Use Studies by Repeated Measures Analysis Carolyn K. Yoder source 4
MWSUG 1994 Use of Macros in Generating Statistical Comparisons for Bioequivalence Reports A. David Mundt 9
SEUGI 1994 Using PROC MIXED on Animal Growth Curves Some Initial Experiences Graham Healey source 10
SUGI 1994 A Comparison of the GLM, IML, and MIXED Procedures for Use in Spatial Statistical Analyses William J. Price,
Bahman Shafii		 source 6
SUGI 1994 Automating the Plotting of Significant Effects in Analysis of Variance Matthew Grover,
Huixing Tang		 source 6
SUGI 1994 Combined Estimates of Carryover Differences in Mixed-Model Procedure Louis Munyakazi,
Richard L. Hintz,
B. D. Selby		 source 4
SUGI 1994 Estimating Components of Variance for a Linear Model Having a Mixed Fixed/Random Factor in a Large Data Structure Dawn VanLeeuwen,
N. Scott Urquhart		 source 5
SUGI 1994 Introduction to Repeated Measures William G. LeBlanc source 9
SUGI 1994 Mixed Model Analysis of Data: Transition from GLM to MIXED Ramon C. Littell source 8
SUGI 1994 Using SAS Software to Check Assumptions for Analysis of Covariance, Including Repeated Measures Designs Richard P. Steiner,
N. Margaret Wineman		 source 5
NESUG 1993 A SAS Module to Generate the Contract Statements for GLM Procedure Shi-Tao Yeh,
Gayland Ridley		 6
SCSUG 1993 Automating the Plotting of Significant Effects in Analysis of Variance Huixing Tang,
Matthew Grover		 14
MWSUG 1993 An Extraordinary Reporting System for the Pharmaceutical Industry - the Macro Way Judy L. Gilbert 5
SEUGI 1993 A New Look at the Facilities in PROC MIXED James L. Roger source 12
SEUGI 1993 Data Visualisation with SAS/INSIGHT Software Gerhard Held source 10
SEUGI 1993 EEG Multi-variate Traces Analysed Using PROC MIXED Tracy Parker source 10
SEUGI 1993 The Analysis of Repeated Measures Designs Using the SAS System Alun Bedding source 9
SEUGI 1993 The Closed Test Procedure Hans Ulrich Burger source 13
SUGI 1993 An Extraordinary Reporting System for the Pharmaceutical Industry - the Macro Way Judy L. Gilbert source 5
SUGI 1993 SAS Software to Fit the Generalized Linear Model Gordon Johnston source 8
SUGI 1993 Strategies for Performing Multiple Comparisons on Means Jenny Aquino Kendall source 7
SUGI 1993 Using SAS Software to Identify Critical Variables in the Manufacturing of Hybrid Microelectronics Assemblies Melvin T. Alexander,
Brian Hogan,
Ingrid Jensen Vaughan		 source 9
SESUG 1993 Repeated Measures Using PROC MIXED Instead of PROC GLM James H. Roger,
Michael Kenward		 10
SESUG 1993 Using SAS Statistical Procedures in Medical Research Joe Cholewczynski 6
NESUG 1992 Introduction to Release 6.08 SAS/INSIGHT and SAS/LAB Software Mark Brown 6
NESUG 1992 Obtaining P-Values for Clinical Research Efficacy Reports Denis Michel 6
SEUGI 1992 Effects of Using the NOINT Option in Various Regression Procedures of SAS/STAT Software Rainer Muche source 10
SEUGI 1992 Output Delivery System Thomas J. R. Emmerich source 8
SEUGI 1992 SAS/INSIGHT Software: Introduction and New Features Gerhard Held source 7
SUGI 1992 Analytic Modeling in SAS/INSIGHT Software Heman Robinson source 6
SUGI 1992 Future Directions in Working with Procedure Output Christopher R. Olinger,
Robert S. Ray		 source 8
SUGI 1992 Generating Statistical Tables Meeting NDA Guidelines the Lazy Way John Lue source 6
SUGI 1992 Pharmacokinetic Statistical Analysis System - A SAS/AF and SAS/FSP Application Sharon Passe,
Andrea L. Contino		 source 6
SUGI 1992 Plot Mean with Standard Error by Using the SAS/STAT GLM Procedure and the SAS/GRAPH GPLOT Procedure Eric Yu I. Wang,
Aili Gong		 source 6
SUGI 1992 POWER: A Simple Macro for Power and Sample Size Calculations Kristin Latour source 5
SUGI 1992 Quality Sciences at Delco Electronics Corporation Bruce McLean source 3
SUGI 1992 Using the GLM Procedure to Analyze Multivariate Response in Crossover Designs Julie Myers Grender,
William D. Johnson		 source 6
SUGI 1992 Using the NLIN Procedure to Combine Estimates of Relative Potency Stan Altan,
Jaya Natarajan		 source 6
NESUG 1991 Analysis of Designs with Detached Control Groups Robert M. Hamer 7
NESUG 1991 Postioning Variance and Comparing Treatment Means with CONTRAST and ESTIMATE Kenneth S. Yourstone 6
NESUG 1991 Two Measures of Rating Reliability Peter P. Gaccione 7
MWSUG 1991 Using Analysis of Variance to Analyze Toxicology Data Peggy T. Konopacki,
George W. Pasdirtz		 6
SEUGI 1991 Confidence Intervals for Bioequivalence Studies B. Jones,
D. J. Nichols,
P. Blood		 source 12
SEUGI 1991 Future Directions of Statistical Software with the SAS System David M. DeLong source 20
SEUGI 1991 STARS: Statistical and Reporting System for Clinical Research Data A. Longoni,
G. Marcon,
M. Sanarico,
R. Ferrara		 source 7
SUGI 1991 A Program for Outputting P Values and Confidence Intervals in an Analysis of Variance without the Use of the GLM or PR/NTTO Procedures Susan Foley Anton,
Joseph J. Andary		 source 6
SUGI 1991 Analysis of Designs with Detached Control Groups Robert M. Hamer source 7
SUGI 1991 Confidence Intervals for Contrasts in the Unbalanced Analysis of Variance Using SAS/IML Software John Ilgenfritz,
Anand K. Seth		 source 6
SUGI 1991 Contrast Generating Macros for the GLM Procedure John Pesek source 6
SUGI 1991 Developing Statistical Application Workshops with SAS Software on a PC Priscilla Hancock source 2
SUGI 1991 Interaction Contrasts in Repeated Measures Designs John F. Walsh source 4
SUGI 1991 Power Analysis and Instructional Monte Carlo Simulations Richard W. Cole source 4
SUGI 1991 Some Motivation and Comments on Statistical Supercomputing Matthew Schall,
Weichang Li		 source 3
SUGI 1991 Using the ANOVA Procedure with Summary Statistics as Input David A. Larson,
Charles R. Wartenberg Jr.		 source 3
SUGI 1990 Alternative Parameterization for Anova Models Using SAS Software Robert M. Hamer source 8
SUGI 1990 ANALYSIS OF COVARIANCE: REPEATED IfEASURES AND SPLIT-Plur DESIGNS George A. Milliken source 10
SUGI 1990 Analysis of Covariance: Repeated Measures and Split-Plot Designs Gilda P. Pareja source 5
SUGI 1990 Analyzing Balanced or Unbalanced Latin Squares and Other Repeated-Measures Designs for Carryover Effects Using the GLM Procedure D. A. Ratkowsky,
J. R. Alldredge,
J. W. Cotton		 source 6
SUGI 1990 Computation of Variances of Functions of Parameter Estimates for Mixed Models in the GLM Procedure Ramon C. Littell,
Stephen B. Linda		 source 8
SUGI 1990 Formatted Tables: SAS Macro Programs Will A. Sullivan,
Sharon M. Haney,
Harvie Chang,
Gary Stephens		 source 6
SUGI 1990 Shortcuts to Customize Clinical Trial Reports Aileen L. Tsien source 6
SUGI 1990 The Impact of Machine Architecture on the Implementation of the SAS System Larry J. Noe source 6
SUGI 1990 Using a SAS/AF Application to Calculate the Power of a Statistical Test John F. Schneider,
Robert A. McLean,
William L. Sanders		 source 6
NESUG 1989 The Analysis of Repeated Measurement Designs Jean Hardy 7
SEUGI 1989 A Bioassay Method Using SAS/STAT Software C. M Fenton,
P. Blood		 source 12
SUGI 1989 A General Approach in the Analysis of Repeated Measures Data Using the GLM Procedure Lee Kaiser source 6
SUGI 1989 Automated Analysis of Linear-Plateau Models Damon Disch source 6
SUGI 1989 Comparison of VMSORT, SyncSort, PLSORT and SORTT under VM/CMS Using Release 5.18 of the SAS System Kirsty Nunez source 5
SUGI 1989 Multivariate Models for the Analysis of Crossover Experiments Vernon M. Chinchilli,
Ronald K. Elswick		 source 5
SUGI 1989 Using the GLM Procedure and the CONTRAST Statement: A Very Basic Approach Donna O. Fulenwider source 11
SEUGI 1988 New Developments in Psychometric and Market Research Procedures Gerhard Held source 5
SUGI 1988 Jonckheere's Test Procedure for Dose-Response Trend Dorothy Hu Huang,
Armand Robles		 source 6
SUGI 1988 New Developments in Pyschometric and Market Research Procedures Warren F. Kuhfeld,
Forrest W. Young		 source 5
SUGI 1988 Power Analysis in an Enhanced GLM Procedure: What It Might Look Like Ralph G. O'Brien,
S. Paul Wright		 source 6
SUGI 1988 Regression and the SAS System: An Overview Rudolf J. Freund source 9
SUGI 1988 The Analysis of Covariance for Split-Unit and Repeated-Measures Experiments Using the GLM Procedure (I) W.T. Federer,
Z.D. Feng,
Michael P. Meredith,
Nancy J. Miles-McDermott		 source 6
SUGI 1988 The Analysis of Covariance for Split-Unit and Repeated-Measures Experiments Using the GLM Procedure (II) W.T. Federer,
Michael P. Meredith,
Nancy J. Miles-McDermott		 source 6
SUGI 1987 Combining SAS Software and SYSTEM 2000 Data Management Software Mike Senger source 6
SUGI 1987 Performing the Friedman Test and Associated Multiple Comparison Test using PROC GLM David Ipe source 3
SUGI 1987 SAS System Statistical Procedures Applied to the Analysis of Water Quality Data Paul D. Mowery source 10
SUGI 1987 Using SAS Software to Develop a Prototype for Determining Participant Profiles and for Assessing Potential Relationships Among Health Insurance Variables Ralph F. Catalanello,
Bruce W. Eagle		 source 6
SUGI 1987 Variance Component Estimation with the SAS System Ramon C. Littell,
Barbara G. McCutchan		 source 6
SEUGI 1986 Generalized Linear Models in SAS Using PROC GLM James Roger source 10
SEUGI 1986 SAS/STAT Software on the IBM PC under PC DOS Gerhard Held source 12
SUGI 1986 Analyzing Survey Data in the Electric Utility Industry Using Several SAS Procedures Mary Lynn Spada source 4
SUGI 1986 DESRA-An Experimenter's Assistant Earl R. Westerlund source 6
SUGI 1986 Mixed Model Analyses with the SAS System Ramon C. Littell source 8
SUGI 1986 One Degree of Freedom Test for Transformable Nonadditivity-A Generalized SAS Macro Daniel W. Griffin,
Shiferaw G. Mariam		 source 8
SUGI 1986 Power Analysis for Linear Models Ralph G. O'Brien source 8
SUGI 1986 SAS Report Writing: Generation of Statistical Tables Using PROC PRINTTO and the DATA NULL_ Step Dorene M. Emmrich source 5
SUGI 1986 Tukey-Kramer and Dunnett Procedures Based on the LSMEANS Statement John M. Koester,
Kathleen Mellars,
Harji I. Patel		 source 6
SUGI 1986 Use and Misuse of PROC GLM Rudolf J. Freund source 2
SUGI 1985 SAS Methods for Obtaining the Exact Hypotheses from Type 1, 11, III, and IV Estimable Functions in Terms of Cell Means Model Richard Lustick,
P. K. Tandon		 source 8
SUGI 1985 The Role of Invertibility and Symmetry of Polychotomous Metameters for GSK and Other Related Analyses James E. Dunn source 10
SEUGI 1984 New Statistical Features in SAS Gerhard Held source 13
SUGI 1984 Analysis of Covariance-Models, Strategies and Interpretations George A. Milliken source 10
SUGI 1984 Power Analysis for Linear Models: The Time Has Come Virginia I. Lohr,
Ralph G. O'Brien		 source 7
SUGI 1984 Power Analysis for Univariate Linear Models: The SAS System Makes It Easy.. Virginia I. Lohr,
Ralph G. O'Brien		 source 6
SUGI 1984 PROC GLM-Rearrangement of Output Karen L. Bourn source 6
SUGI 1984 Repeated Measures Analysis in PROC GLM Phil Spector source 10
SUGI 1984 Use of SAS Software for Trend and Sequential Trend Test Analysis Thomas P. Capizzi,
Hina Mehta,
Leonard Oppenheimer		 source 6
SEUGI 1983 GLMOUT - A SAS Program to Read PROC GLM Output A. Eastwood,
D. A. Budgett		 7
SUGI 1983 Analyzing Analysis of Covariance Models in Repeated Measures Designs Using SAS James E. Laughlin,
James S. Roberts		 source 4
SUGI 1983 Analyzing Latin Square Designs via SAS James E. Laughlin,
James S. Roberts		 source 4
SUGI 1983 Interactive Least Squares Estimation of Missing Values in any GLM Paul D. Hamilton,
Patric Dale McCray,
Michael C. Palmer		 source 4
SUGI 1983 Obtaining Part and Bipartial Canonical Correlation Estimates from PROC CANCORR: A Biomedical Application Steven N. Blair,
David A. Ludwig		 source 3
SUGI 1983 Reading and Interpreting GLM's Printout of Estimable Functions and Sums of Squares Ramon C. Littell source 1
SUGI 1983 Using PROC REG to Analyze Mixture Experiments Mark E. Showers source 4
SUGI 1983 Within-Drug Changes in a Multicenter Clinical Trial and Their Applications .. Harji I. Patel source
SUGI 1982 A General Linear Models Approach for Comparing the Response of Several Species in Acute Toxicity Tests Karen L. Daniels,
Michael P. Farrell,
Jonathan C. Goyert,
Rodney H. Strand		 source 6
SUGI 1982 Four Topics in Statistics Rudolf J. Freund source 8
SUGI 1982 Some Aspects of the Rank Transform in Analysis of Variance Problems Ronald L. Iman source
SUGI 1982 Use of SAS to Analyze Experiments Conducted over Time with Multivariate Responses and Autocorrelated Errors Walter W. Stroup source 7
SUGI 1981 A Triad of SAS Macros to Capture the Output from PROC GLM Roger S. Cohen source 6
SUGI 1981 Experience of Applying SAS in Engineering Analysis and Design Rhyn H. Kim source
SUGI 1981 Missing Cells Data Analysis under a Constrained "U "Model Dorinda Love Casanova source 4
SUGI 1981 Parameter Estimation, Hypothesis Testing and Coding Chip Kaliher source
SUGI 1981 Plotting Confidence Bands Using PROC GLM and PROC REG Curtis Barton source 6
SUGI 1981 The Cell Means Model: Evaluating GLM Type III and IV Sums of Squares for Linear Models with Missing Cells Richard L. Miller source 8
SUGI 1981 Two-way Analysis of Variance in Computer Statistical Packages: A Comparison of SPSS, BMDP, and RUMMAGE to SAS GLM David W. Garton,
Kenneth L. Koonce		 source 6
SUGI 1980 Analysis of Repeated Measures Experiments: One- and Two-way Classifications Louis Bonus,
Harji I. Patel		 source 6
SUGI 1980 Evaluation of Discount Air Fare Plans R. A. Erickson,
F. K. Kuiper		 source
SUGI 1980 Examples of GLM Applications Ramon C. Littell source 7
SUGI 1980 n Annotated Guide to the Analysis of Linear Models Using SAS Rudolf J. Freund,
Ramon C. Littell		 source 6
SUGI 1980 Teaching Statistical Computing: A Comparison of Videotape and Classroom Methodologies John C. Boling source 4
SUGI 1979 New Features in GLM and VARCOMP James H. Goodnight source 10
SUGI 1979 Relationships between the Estimable Functions of SAS GLM Output for Unbalanced Data and the Hypotheses Tested by Traditional-style F-statistics Shayle R. Searle source 12
SUGI 1979 Testing for Trends in Drug Research Data Using SAS Chiao Yeh source 4
SUGI 1978 SAS Procedure for the Analysis of Covariance with Intra-Class Regression Model in One- and Two-Way Classifications Harji I. Patel source 5
SUGI 1978 What Does GLM Do? The Case of the Missing Cell Rudolf J. Freund source 6
SUGI 1977 A User's Point of View of the GLM Procedure in SAS76 George C. Chao source 2
SUGI 1977 Really General Linear Multivariate Model Analysis Alvin M. Best III,
Ronald W. Helms		 source 6
SUGI 1977 Retrieval and Analysis of Clinical Data Using SAS 76 Procedures H. S. Greenburg,
David W. Johnson,
Michael S. Lajiness,
G. L. Schooley		 source 4
SUGI 1977 SAS - GLM Procedure and Analysis of Variance O. P. Hackney,
Ronald R. Hocking,
F. Michael Speed		 source 7
SUGI 1977 SAS as Programming Tool and Central Data Interface with Other Statistical Software Douglas Cockrell,
Mike Foxworth,
Gary Griepentrog		 source
SUGI 1977 The Use of SAS in Teaching Advanced Statistical Methods Nancy L. Elliott,
William A. Fowers		 source 3
SUGI.ONE 1976 A Comparison of BMD, SAS and SPSS T. Papaioannou,
G.P.H. Styan,
L.L. Ward		 source 21
SUGI.ONE 1976 ANOVA on Unbalanced Design with Unequal Cells Using SAS George C. Chao source 5
SUGI.ONE 1976 General Linear Model Procedure James H. Goodnight source 39

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