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276 papers; 259 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 AI-Assisted Modular Design for R Markdown Report Generation A Hybrid Architecture for Enhanced Maintainability and Cross-Study Scalability Song Liu,
Jingwei Xiong		 source 13
SGF 2021 Bayesian Analysis of GLMMs Using PROC BGLIMM Walter W. Stroup source
pdf		 25
PHUSE EU 2019 Mixed Model Repeated Measures (MMRMs) Mrudula Suryawanshi source
presentation source		 19
MWSUG 2019 Surviving Survival Analysis 101: Making the Likelihood Ratio Test Easier Using a Macro Katelyn Ware,
Rachel Baxter		 13
PharmaSUG 2019 A SAS Macro to Provide Survival Functions along with Cox Regression Model Efficiently Chia-Ling (Ally) Wu source 6
SGF 2019 Predicting Inside the Dead Zone of Complete Separation in Logistic Regression Robert Derr source 15
PHUSE US 2019 R and Python Differences, Techniques and Challenges for SAS Programmers Murali Neela source
presentation source		 20
PHUSE US 2019 Statistical Models of Risk Flux Reveal Dynamics of RBM-managed Clinical Trials Michael Farnum source
presentation source		 12
SGF 2018 A SAS Macro Implementation of a Test for Co-directional Interactions Julia Sharp,
Patrick Gerard,
Bereket Tesfaldet		 source 16
SGF 2018 Getting Started with Survival Analysis Marc Huber source 76
SGF 2018 Robust Tuning for Machine Learning Alex Glushkovsky source 22
SESUG 2017 Using Categorical Variables in Regression Analysis Jonas V. Bilenas source 15
WUSS 2017 Integrating Health Data Sources to Identify, Stratify, and Predict High Utilizers of Public Systems Benjamin Knisley,
Joshua Morgan,
Linn Carothers,
Keith Haigh		 source 15
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 Using SAS/QC to Design Optimal Experimental Designs in Consumer Lending Jonas V. Bilenas source 12
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 To be two or not be two, that is a LOGISTIC question Robert G. Downer 10
WUSS 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen source 27
PharmaSUG 2016 Mixed Effects Models Yan Wang source 7
SGF 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SGF 2016 Fitting Your Favorite Mixed Models with PROC MCMC Gordon Brown,
Fang K. Chen,
Maura E. Stokes		 source 27
WUSS 2015 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
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 Sums of Squares: The Basics and a Surprise Sheila Barron,
Michelle Mengeling		 source 8
SGF 2015 Tell Me What You Want: Conjoint Analysis Made Simple Using SAS Delali Agbenyegah source 14
SGF 2015 Using and Understanding the LSMEANS and LSMESTIMATE Statements David J. Pasta source 20
SGF 2015 Using SAS to Deliver Web Content Personalization Using Cloud-Based Clickstream Data and On-premises Customer Data Mahesh Subramanian,
Suneel Grover		 source 24
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
PHUSE EU 2014 Conjoint Analysis of Treatment Preference Milena Balcerzak source
presentation source		 12
MWSUG 2014 Preparing Interaction Variables for Logistic Regression Bruce S. Lund 9
MWSUG 2014 Tell Me What You Want: Conjoint Analysis Made Simple Using SAS Delali Agbenyegah 14
WUSS 2014 Using and Understanding LSMEANS and LSMESTIMATE David J. Pasta source 20
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 Combining Type-III Analyses from Multiple Imputations Binhuan Wang,
Yixin Fang,
Man Jin		 source 6
SGF 2014 Examples of Logistic Modeling with the SURVEYLOGISTIC Procedure Rob Agnelli source 17
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 SAS Data Mining for Predictor Identification: Developing Strategies for High School Dropout Prevention Wendy B. Dickinson,
Morgan C. Wang		 source 9
SCSUG 2013 Preparing Interaction Variables for Logistic Regression Bruce S. Lund source 14
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 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
SGF 2013 Analyzing Partially Confounded Factorial Conjoint Choice Experiments Using SAS/IML Chin Khian Yong,
Song Lin Ng		 source
pdf		 11
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 Build Prognostic Nomograms for Risk Assessment Using SAS Dongsheng Yang source
pdf		 7
SGF 2013 Cox Proportional Hazard Model Evaluation in One Shot Polina Kukhareva source 11
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 Regression of NASCAR: Looking into Five Years of Jimmie Johnson Alex Herrington,
Liuchun Yang,
Yun Gao		 source 20
NESUG 2012 Using SAS to Test, Probe and Display Interaction Effects in Regression Timothy Gravelle 16
PHUSE EU 2012 The Logic and Logistics of Logistic Regression, Including New Features in SAS 9.2 Lawrence Rasouliyan source
presentation source		 16
MWSUG 2012 Methods for Interaction Detection in Predictive Modeling Using SAS Douglas Thompson 13
WUSS 2012 Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses David J. Pasta source 19
PharmaSUG 2012 A SAS Macro for Biomarker Analysis using Maximally Selected Chi-Square Statistic With Application in Oncology Quan Jenny Zhou,
Bala Dhungana		 source 8
SGF 2012 Black Box PROCs: PROC LOGISTIC Discovered Isabel H. Perry source 7
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 Using PHREG for Model Selection to Explore the Time Taking Immigrants in the GB to Find First Employment and Cross Validating Frailty Terms JuYin Helen Wong source 5
SESUG 2011 Eyes on the Road: A Methodology for Analyzing Complex Eye-Tracking Data Eye Tracking source 11
MWSUG 2011 A Macro to Estimate Sample-size Using the Non-Centrality Parameter of a Non-Central F-Distribution Matthew C. Fenchel,
Raouf S. Amin,
Rhonda D. VanDyke		 20
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 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 JMP 9 and Interactive Statistical Discovery John P. Sall source 15
SGF 2011 Repeated Measures Analysis of Correlated Data with Multiple Responses Using SAS Anbuchelvi Jeyabslasingham,
Anpalaki J. Ragavan		 source 10
SGF 2011 Those Confounded Interactions: Building and Interpreting a Model with Many Potential Confounders and Interactions David J. Pasta source 13
SGF 2011 To Hash or Not To Hash! That Is the Question!! When it Comes to SQL!!! Mustaq Ahmad source 12
WUSS 2010 Mix-and-Match: Mixed Models for Analyzing Binary Outcomes with Matched Samples Sarah Short source 9
WUSS 2010 Those Confounded Interactions: Building and Interpreting a Model with Many Potential Confounders and Interactions David J. Pasta source 9
PHUSE EU 2010 Useful Tips for Analysis of Variance (ANOVA) in Multicentre, Placebo Controlled Clinical Trials Joanna Romaniuk source
presentation source		 12
MWSUG 2010 Adequacy and Information Values: Two Tools for Ranking Predictors in Generalized Linear Models Douglas Thompson 21
MWSUG 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
SESUG 2010 Developing a Model for Person Estimation in Puerto Rico for the 2010 Census Coverage Measurement Program Colt S. Viehdorfer source 12
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 Potential Change in Reliability Measures Based on Decreased Sample Size for the Census Coverage Measurement Survey Vincent Thomas Mule source 12
PharmaSUG 2010 An Overview of the CLASS, CONTRAST, and HAZARDRATIO Statements in the SAS 9.2 PHREG Procedure Paul T. Savarese,
Michael J. Patetta		 23
SGF 2010 An Overview of the CLASS, CONTRAST, and HAZARDRATIO Statements in the SAS 9.2 PHREG Procedure Paul T. Savarese,
Michael J. Patetta		 source 23
SGF 2010 Custom Designs Using JMP Design of Experiments and SAS PROC OPTEX Mei-Fen Yeh,
Anthony Cece,
Mark A. Presser		 source 9
SGF 2010 Dancing the Sample-Size Limbo with Mixed Models: How Low Can You Go? Bethany A. Bell,
Grant B. Morgan,
Jason A. Schoeneberger,
Brandon L. Loudermilk,
Jeffrey D. Kromrey,
John M. Ferron		 source 11
SGF 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey source 12
SGF 2010 The Best of Both Worlds: Designing Experiments in the JMP and SAS Environment Jose G. Ramirez source 12
SESUG 2009 A Logistic Regression Model to Predict Freshmen Enrollments Vijayalakshmi Sampath,
Andrew Flagel		 source 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 2009 Adhoc Analysis of Site By Treatment Interaction Alan Davis 9
PharmaSUG 2009 Illustrative Logistic Regression Examples using PROC LOGISTIC: New Features in SAS/STAT 9.2 Robert G. Downer,
Patrick J. Richardson		 11
SGF 2009 A SAS Macro for Adaptive Regression Modeling George J. Knafl source 9
SGF 2009 Comparison of Features and Applications of Four Linear Models Procedures Larry W. Douglass source 19
SGF 2009 Designing Multi-Step Fractional Factorial Split-Plots: A Combined JMP and SAS User Application Jose G. Ramirez,
Jon T. Weisz		 source 11
SGF 2009 The Basics of Experimental Design for Multivariate Analysis Steve Figard source 15
SESUG 2008 Parsimony vs. Complexity: A Comparison of Two-Level, Three-Level, and Cross-Classified Models Using Add Health and AHAA Data Bethany A. Bell,
Corina M. Owens,
John M. Ferron,
Jeffrey D. Kromrey		 source 13
SESUG 2008 SAS Code for Variable Selection in Multiple Linear Regression Models Using Information Criteria Methods with Explicit Enumeration for a Large Number of Independent Regressors Dennis J. Beal,
Oak Ridge		 source 9
MWSUG 2008 Analytical Method Improvement Yields Dramatic Decrease in Variation for a Final Formulation Process Roger Norris 20
MWSUG 2008 Visualization and the Improvement of Anodized Parts Using JMP Philip J. Ramsey,
Marie A. Gaudard,
Mia L. Stephens		 42
NESUG 2008 Breakthrough Improvements through Reliable Modern Testing using SAS and JMP Sunil Kumar Gupta 14
PharmaSUG 2008 The Logic and Logistics of Logistic Regression Lawrence Rasouliyan,
Dave P. Miller		 14
SGF 2008 Horizon Estimation Using SAS Software Gary A. Foster,
Charles Goldsmith		 source 9
NESUG 2007 Using Macro and ODS to Overcome Limitations of SAS Procedures Wei (Lisa) Lin,
Jing Su		 7
SESUG 2007 Information Criteria Methods in SAS for Multiple Linear Regression Models Dennis J. Beal source 10
PHUSE EU 2007 Application of the ARRAY statement to create ESTIMATE and CONTRAST statements in statistical PROCEDURES: a case study Roel Straetemans source 10
SCSUG 2007 A SAS Macro for Hosmer and Lemeshow's Purposeful Selection Model Building Algorithm: Description and Performance David Williams,
Zoran Bursac,
David K. Hosmer		 6
SGF 2007 A Purposeful Selection of Variables Macro for Logistic Regression Zoran Gauss,
C. Heath Williams,
David K. Hosmer,
David W. Bursac		 source 5
SGF 2007 Split and Conquer! Using SAS/QC to Design Quality into Complex Manufacturing Processes Jose G. Tobias,
Randall D. Ramirez		 source 25
SCSUG 2006 Flattening Dependent Tables from Relational Databases for Use in SAS Processing David Welch 34
PHUSE EU 2006 The Hazards of Modelling Proportional Hazards in SAS Erika Daly,
Farzana Sufi		 source 4
WUSS 2006 The Logic and Logistics of Logistic Regression Lawrence Rasouliyan,
Dave P. Miller		 source 14
SUGI 2006 AMMI Macros for Multiplicative Interaction Models Eun-Joo Lee,
Dallas E. Johnson		 source 10
SUGI 2006 Application of Experimental Design in Consumer Direct-Mail Solicitations Jonas V. Bilenas source 9
SUGI 2006 Introducing the GLMSELECT Procedure for Model Selection Robert A. Cohen source 18
SUGI 2006 The "Handy, Dandy, Quick-n-Dirty" Contrast Generator - A SAS/IML Macro to Support the GLM, MIXED, and GENMOD Procedures Paul A. Thompson source 10
SUGI 2006 Using the SAS System for Experimental Designs for Multi-Component Interventions in Medicine Heather G. Allore,
Peter Peduzzi,
Ling Han,
Mary Tinetti		 source 7
SESUG 2005 SAS Code to Select the Best Multiple Linear Regression Model for Multivariate Data Using Information Criteria Dennis J. Beal,
Oak Ridge		 source 6
PHUSE EU 2005 Signal Detection in EudraVigilance Jim Slattery source 5
NESUG 2005 Introduction to Experimental Design using SAS Jonas V. Bilenas 13
SUGI 2005 Using SAS to Estimate Proportional Odds Ratio Model for Meta-Analysis of Diagnostic Tests Mir S. Siadaty,
Jianfen Shu		 source 10
NESUG 2004 Disk Space Management Topics for SAS in the Solaris Operating Environment Adeline J. Wilcox 9
WUSS 2004 Cut Out The Cut And Paste: SAS Macros For Presenting Statistical Output Myungshin Oh,
Mel Widawski		 source 9
PharmaSUG 2004 Traditional Repeated Measures Analysis Versus Random Coefficients Models Using PROC MIXED Radhi Abdulnabi 9
WUSS 2003 Advanced Analytics with Enterprise Guide Catherine Truxillo,
Stephen McDaniel		 source 9
WUSS 2003 How to Get a Graph from a Complex Linear Model Stefanie J. Silva source 4
WUSS 2003 Logistic regression model-building strategies for predicting regular mammography screening adherence among uninsured immigrant women Jesse Albert Canchola,
Regina Otero-Sabogal,
Desiree Owens,
Farzaneh Tabnak		 source 6
SESUG 2003 An Algorithm for Screening of Genes and Clusters from Microarray Experiments James E. Blum source 4
SESUG 2003 An Introduction to Genomics and SAS Scientific Discovery Solutions Russell D. Wolfinger source 7
SESUG 2003 Statistical Analysis of Genotype X Environment Interaction in Agricultural Research K. Bondari source 6
NESUG 2003 Backwards Manual Selection (%bms): A Macro for Selecting Logistic Regression Models to Address Epidemiological Research Questions Janice Hegewald,
Anette Pfahlberg,
Wolfgang Uter		 5
SUGI 2003 An Introduction to Genomics and SAS Scientific Discovery Solutions Russell D. Wolfinger,
Susan Flood		 source 7
SUGI 2003 Logistic Regression Modeling - JMP StartTM Your Analysis with a Tree Pippa M. Simpson,
Renée A. Hall,
James G. Parker,
Jeffrey M. Gossett		 source 5
WUSS 2002 A Randomization-Test Wrapper for SAS PROCs Christopher F. Ake,
David L. Cassell		 source 4
PharmaSUG 2002 Performing Logistic Regression on Survey Data with the New SURVEYLOGISTIC Procedure Anthony B. An 10
SUGI 2002 A Proportional Odds/Hazards Approach to Analyzing Likert Scale Data Lynette K. Duncan,
James E. Dunn		 source 5
SUGI 2002 A Randomization-Test Wrapper for SAS PROCs David L. Cassell source 4
SUGI 2002 Automating the Building of 2nd and 3rd Order Interactions and the Construction of Hierarchical Logistic Regression Models Mazen Abdellatif,
Robert G. Anderson,
Domenic J. Reda		 source 4
SUGI 2002 SAS Macros to Help Relieve Common Program Documentation Pain Chris S. Hord,
Jay Zhou		 source 9
VIEWS 2001 A Conjoint-based Choice Modelling Approach Using the PHREG Procedure to Evaluate the Importance of Fisheries Management Objectives Premachandra Wattage,
Simon Mardle,
Sean Pascoe		 14
WUSS 2001 Interactive Three Dimensional Grpahical Presentation of Analysis of Variation Results Paul Kostenick,
Kenneth Lulay		 source 3
SCSUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe,
Ralph G. O'Brien		 13
SCSUG 2001 Using the SAS System to Study the Gender and Level Measurement Equivalence of a Multi-rater Survey Jim Penny 6
SUGI 2001 The ABCs of ADX: A Solution for Design and Analysis of Experiments Brenda S. Ramirez,
Jose G. Ramirez		 source
SCSUG 2000 Multi-Level Intervention Study Data and PROC MIXED Tom Bohman 13
SCSUG 2000 Repeated-Measures Analysis and PROC MIXED Shana Smith,
Torsten B. Neilands		 17
SCSUG 2000 The Use of PROC MIXED for Analyzing Cohort-Sequential Designs C. Nathan Marti 11
NESUG 2000 Methods for the Analysis of Clustered Ordinal Response Data Robert J. Gallop,
J. Richard Landis,
Thomas R. Ten Have		 7
WUSS 2000 SAS STAT applications in Econometrics Mathura Thillainathan,
George C. J. Fernandez		 source 10
PharmaSUG 2000 Integrating Metatdata in Pharmaceutical R&D Warehouses Philip M. Pochon 5
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 Custom Design of Complicated Block Experiments G. Bruce Schaalje,
Chris H. Bodily,
Bruce J. Collings		 source 4
SUGI 2000 Modeling Longitudinal Growth Data and Growth Percentiles with Polynomial Gompertz Model in SAS Software Inna Perevozskaya,
Olga M. Kuznetsova		 source 6
SUGI 2000 Product Development and Applied Research: A Formal Approach Using SAS and JMP Software John A. Wass source 5
SUGI 2000 Warehousing, Metadata, and Object-Based Analysis Thomas H. Burger,
Philip M. Pochon		 source 5
WUSS 1999 Exploring Enzyme-Linked Immunosorbent Assay (ELISA) Data with the SAS Analyst Application Stewart L. Fossceco,
Nathan A. Curtis		 source 9
MWSUG 1999 REG, GLM, ANOVA: Which One? Why? How? Linda M. Quinn 6
MWSUG 1999 Small Response Surface Designs Tena I. Katsaounis 6
SUGI 1999 Exploring Enzyme-Linked Immunosorbent Assay (ELISA) Data with the SAS Analyst Application Stewart L. Fossceco,
Nathan A. Curtis		 source 9
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 Modeling Event Count Data with PROC GENMOD and the SAS System Matthew J. Flynn source 6
SUGI 1999 The SAS ADX Interface - Designing the Future Stewart L. Fossceco source 9
SUGI 1999 Use of Enterprise Miner and Multivariate Statistical Analysis to Build Fraud-Detection Models Shiao-Ping Lu source 5
SUGI 1999 Using the Mixed Procedure to Analyze a Fractional Factorial Split-Plot Experiment Jon M. Lindenauer source 4
SEUGI 1998 Complementary use of log-linear modelling and correspondence analysis in SAS software Jon Paul Laka,
Izaskun Astondoa		 source 18
SUGI 1998 A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis Ralph G. O'Brien source 10
WUSS 1997 Logistic Regression Modeling in Complex Surveys: Examples Using LOGITSE SAS Macro Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania		 source 10
NESUG 1997 Macro to Determine the Significance of the Main Effects of Two Categorical Factors for the PHREG Procedure Robert J. Gallop 9
NESUG 1997 Using Logistic Regression to Test for Interaction in the Presence of Zero Cells Lisa Suchower 10
SEUGI 1997 Weighted Poisson Analysis à la Goodman using SAS software Rian Vogelesang source 14
SUGI 1997 Response Surface Optimization Using JMP Software Melvin T. Alexander source 8
SESUG 1996 Computing A DB-Optimal Design Augmentation Scheme Using PROC Il\1L (And Why SAS/QC Can't Do It) Paul T. Savarese 6
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 Using the SAS System for Continuous Quality Improvement Melissa A. Durfee 10
SEUGI 1996 Experimental analysis and SAS/EIS - reporting in semiconductor manufacturing Randall S. Collica source 29
SEUGI 1996 How to mix a cocktail by using SAS/AF and FRAME technology Richard W. M. Jeurissen source 9
SEUGI 1996 SAS software in the retail market Scott Thomson source 10
SUGI 1996 Conjoint and Beyond: Clustering and Logistic Regression of Attribute Importance Leslie A. Christensen source 5
SUGI 1996 Tips on JMPing into Mixture Experimentation Daniel J. Obermiller source 6
NESUG 1995 Power Analysis: Prospective Use of a SAS Macro John F. Walsh 3
WUSS 1995 General Reliability and Intraclass Correlation Program (GRIP) Ron D. Hayes,
Eric Yu I. Wang,
Michael S. Sonksen		 source 4
SEUGI 1995 A Survival Analysis on Critical Components of Nuclear Power Plants Valerie Durbec source 9
SUGI 1995 Designer Graphics: Anatomy of Some SAS Macros for Statistical Graphics Michael Friendly source 8
SESUG 1994 Managing Overkill: How to Use SAS PROC CA TMOD to Estimate Odds Ratios Sigurd W. Hermansen 5
SEUGI 1994 Practical Aspects of Modelling Techniques in Logistic Regression Procedures of the SAS System Josef Hogel source 6
SUGI 1994 A Strategy for Running Fractional Factorial Experiments Robert A. McLean source 5
SUGI 1994 An Overview of the ADX Menu System and Design of Experiments Almira A. Dumaual,
Timothy E. Cooley		 source 6
SUGI 1994 Automating the Plotting of Significant Effects in Analysis of Variance Matthew Grover,
Huixing Tang		 source 6
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 Model Diagnostics for Three Factor Models Eric P. Smith,
Kyoungah See		 source 5
SUGI 1994 Using Fractional Factorial Designs to Improve Product Shelf Life Andrew G. Stead,
Susan B. Wilkins,
Karen G. MacDonald		 source 4
SCSUG 1993 Automating the Plotting of Significant Effects in Analysis of Variance Huixing Tang,
Matthew Grover		 14
MWSUG 1993 Designer Graphics - Anatomy of Some SAS Macros for Statistical Graphs Michael Friendly 8
SUGI 1993 A Simulation-Based Project For Experimental Design Based on SAS Software Michael Friendly source 8
SUGI 1993 An Introduction to SAS/LAB Software Katherine J. Roggenkamp source 10
SUGI 1993 Analysis-of-Variance Computing: Then and Now, with Reference to UnbalancedData Shayle R. Searle source 12
SUGI 1993 Graphical Evaluation of Product Characteristics Melissa A. Durfee source 6
SUGI 1993 Guided Data Analysis with SAS/LAB Software Katherine J. Roggenkamp,
Wayne E. Watson,
Randall D. Tobias		 source 7
SUGI 1993 SAS Software to Fit the Generalized Linear Model Gordon Johnston source 8
SUGI 1993 SAS/LAB Software for Guided Data Analysis Wayne E. Watson,
Katherine J. Roggenkamp,
Randall D. Tobias		 source 7
SUGI 1993 Strategies for Performing Multiple Comparisons on Means Jenny Aquino Kendall source 7
SUGI 1993 The Use of Biplots in Diagnosing Interaction Patterns of Two-way Classification Data William J. Price,
Bahman Shafii		 source 6
SUGI 1993 Using SAS/IML Software to Generate Odds Ratios and Associated Intervals Based on Logistic Regression Output Catherine O. Cowie,
Danita D. Byrd-Hol,
Keith F. Rust		 source 6
SUGI 1993 Using the SAS ADX Menu System for Continuous Quality Improvement Melissa A. Durfee source 6
SESUG 1993 Repeated Measures Using PROC MIXED Instead of PROC GLM James H. Roger,
Michael Kenward		 10
SCSUG 1992 Testing the Additivity Assumption in Repeated Measures Robert J. Zambarano 11
NESUG 1992 The Determination of Causal Factors Related to Fatigue Life and Multiple Site Damage in Aircraft Structures Thomas Doerfler 7
NESUG 1992 Using SAS ADX Menu System for Continuous Quality Improvement Melissa A. Durfee 6
MWSUG 1992 A Monte Carlo Evaluation of the Rank Transformation for Cross-Over Trials George W. Pasdirtz 6
SEUGI 1992 Guided Data Analysis with SAS/LAB Software Gerhard Held source 7
SEUGI 1992 Using SAS Macros and PROC IML to Create Special Designs for Use in Generalised Linear Models John Hendrickx source 22
SUGI 1992 The Use of Logit Analysis: Pitfalls and SAS Tips William Chan source 3
SCSUG 1991 Analyzing Repeated Measures Designs: What You Don't Know CAN Hurt You Richard W. Cole 12
NESUG 1991 Analysis of Designs with Detached Control Groups Robert M. Hamer 7
NESUG 1991 Graphical Evaluation of Product Characteristics Melissa A. Durfee 6
NESUG 1991 Postioning Variance and Comparing Treatment Means with CONTRAST and ESTIMATE Kenneth S. Yourstone 6
MWSUG 1991 Monte Carlo Analysis of Change Scores David J. Mangen 6
SUGI 1991 Analysis of Designs with Detached Control Groups Robert M. Hamer source 7
SUGI 1991 Interaction Contrasts in Repeated Measures Designs John F. Walsh source 4
SUGI 1991 Using Experimental Design to Optimize SAS Performance on the Personal Computer Joe N. Hockman source 8
MWSUG 1990 Monte Carlo Analysis of Change Scores David J. Mangen 14
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
SUGI 1990 Using the ADX Menu System for Taguchi Applications in Quality Improvement Randall D. Tobias source 15
SEUGI 1989 An Application Using SAS/QC Software At Alcoa Laboratories Linda W. Blazek source 18
SEUGI 1989 HyTAO - An Expert System For Statistical Data Processing Markku Korhonen source 13
SUGI 1989 A SAS Matrix Software Macro for Testing the Random Effects in Random Models with Unequal Cell Frequencies in the Last Stage Jose Gallo,
Andre I. Khuri,
Richard MacElderry		 source 6
SUGI 1989 An Application Using SAS/QC Software At Alcoa Laboratories Linda W. Blazek source 10
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 Confounding of Effects in Equal n Designs: Factorial ANCOVA Scott E. Maxwell,
Harold D. Delaney		 source 6
SUGI 1988 A Method for Hypotheses Testing in a Two-Way, Cross-classified Design with Missing Cells Kenneth L. Koonce,
Mattana Sanguanruang		 source 6
SUGI 1988 New SAS Facilities for Design of Experiments Randall D. Tobias source 3
SUGI 1988 Repeated Measures Analysis with the SAS System Ramon C. Littell,
Jane Pendergast		 source 7
SUGI 1988 The Analysis of Complete Blocks Using Methods Based on Ranks Ronald L. Iman source 9
SUGI 1987 A Laboratory Notebook in SAS Software Caroline M. Bobik,
Arthur C. Singer		 source 8
SUGI 1987 Experiences with Teaching Experimental Design Using the SAS System for Personal Computers Robert A. McLean,
Richard D. Sanders		 source 8
SUGI 1986 A Macro for Conditional Ordinary Least Squares and Weighted Least Squares Analysis of Repeated Measures Data Margaret Burchinal source 6
SUGI 1986 A SAS Program for ANOVA When the Input Data are Group Means Aloha E. Bryson source 6
SUGI 1986 Mixed Model Analyses with the SAS System Ramon C. Littell source 8
SUGI 1986 Power Analysis for Linear Models Ralph G. O'Brien source 8
SUGI 1986 Using SAS Software in the Design and Analysis of Two-Level Fractional Factorial Experiments Joanne R. Wendelberger source 6
SUGI 1985 Analyzing Tables with Ordered Categories Ginger Caldwell,
John D. Smith		 source 6
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 1984 Computing for Unbalanced Repeated Measures Experiments Kenneth N. Berk source 7
SUGI 1984 Generating Bivariate Exponential Distributions via SAS Macros with Application to Repeated Measures Designs Melvin Moeschberger,
P. K. Tandon		 source 4
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 The Use of CATMOD for Repeated Measurement Analysis of Categorical Data Gary G. Koch,
William M. Stanish		 source 10
SUGI 1983 A Diagnostic Tool for Mixed Models with Application to Negative Estimates of Variance Components .. Ronald R. Hocking source
SUGI 1983 Analyzing Latin Square Designs via SAS James E. Laughlin,
James S. Roberts		 source 4
SUGI 1983 Effect Size and Power in Two Factor Nonorthogonal ANOVA: A Monte Carlo Investigation Margaret J. Martin,
William A. Powers		 source
SUGI 1983 Power Comparison of the Weighted Squares of Means Method (Type III) and the Method of Fitting Constants (Type 11) in Unbalanced ANOVA Ramon C. Littell,
Richard O. Lynch		 source 8
SUGI 1983 Practical Methods for Multiple Comparisons in MANOVA Keith E. Muller source 4
SUGI 1983 PROC MATRIX as an Instructional Tool in a Multivariate Statistics Course for Social Scientists Robert S. Barcikowski,
Randall R. Robey		 source 6
SUGI 1983 SAS Macros for F-test Power Computations in Balanced Experimental Designs Andrew J. L. Cary source
SUGI 1983 The SAS Macros for Non parametric Analysis of Repeated Measures Designs Melvin Moeschberger,
P. K. Tandon		 source
SUGI 1982 Approaches to Estimation and Testing in the Mixed Model R. Kirk Steinhorst source
SUGI 1982 Four Topics in Statistics Rudolf J. Freund source 8
SUGI 1982 Minimum Sample Size Designs for Testing Interaction James E. Dunn,
Mary S. Hirsch		 source
SUGI 1982 Repeated Measures ANOVA: The Multivariate Approach S. Paul Wright source 4
SUGI 1982 SAS Procedures for ANOVA or Repeated Measures Designs William G. Jackson Jr.,
Richard C. McNee,
Carolyn J. Oakley		 source 2
SUGI 1982 SPSS MANOVA and BMDP4V for SAS GLM Users Kenneth N. Berk source 5
SUGI 1982 Using SAS for Estimation and Hypothesis Testing in an Unbalanced Repeated Measure Design Kenneth L. Koonce,
Charles J. Monlezun,
David D. Morris		 source 4
SUGI 1981 An Analysis of Methods Used in ANOVA with Missing Cells Ronald R. Hocking source 6
SUGI 1981 Growth Curve Analysis Using PROC TABLES George F. Fraction,
S. Stanley Young		 source
SUGI 1981 STATAN, a Conversational Interface to Facilitate SAS Usage or It Pays To Get Your SAS in Gear Anne M.Parkhurst source
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 Another Application of Stepwise Multivariate Analysis Using SAS Chandu M. Patel source 6
SUGI 1980 Least Squares Means in the Fixed Effect Analysis of Variance Kenneth L. Koonce,
F. Michael Speed		 source
SUGI 1980 Nonorthogonal Analysis of Balanced Data Dale O. Everson,
R. Kirk Steinhorst		 source 5
SUGI 1979 Multivariate MultipleComparisons Using SAS A. Lawrence Gould source 8
SUGI 1979 PROC REPTIFMD - A SAS Procedure for Repeated Measurements Experiments with Missing Data William G. Jackson Jr.,
Richard C. McNee		 source 6
SUGI 1979 Using GLMM5 for General Linear Models Analysis - A Tutorial II. Three Examples Imogene McCanless,
Ronald W. Helms		 source 9
SUGI 1978 Multivariate Prediction of Neonatal Mortality with Emphasis on Health Care Inputs Merwyn R. Greenlick,
Jonathan D. Quick		 source 6
SUGI 1978 Repeated Measures in SAS John A. Courtright source 5
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 Use of MATRIX for Single Degree of Freedom Contrasts in Factorial Experiments. Samuel G. Carmer source 4
SUGI 1977 Generating a Main Effects Design James H. Goodnight source 1
SUGI 1977 SAS - GLM Procedure and Analysis of Variance O. P. Hackney,
Ronald R. Hocking,
F. Michael Speed		 source 7
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
SUGI.ONE 1976 Unbalanced Two-Way ANOVA and SAS David G. Herr,
William A. Powers		 source 9

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