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184 papers and 1 presentation; 179 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Demystifying Regression Analysis Techniques with R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 35
PharmaSUG 2026 Regression Analysis Made Easy Using R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 source 32
PHUSE APAC 2026 From Data to Digital Phenotypes: Modelling High-Dimensional PROs and Actigraphy Data in Decentralized Psychiatric Trials Sakshi Kaushik source
presentation source		 14
PHUSE EU 2024 Innovation of Causal Inferential Frameworks for Biostatistics in Real-World Data and Evidence Anwesha Roy source
poster source		 8
WUSS 2024 Estimating causal effects of health interventions using instrumental variables Mehrnaz Siavoshi source 7
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 Forecasting Goals for Student Success Metrics in Accountability Performance Reporting using SAS Visual Analytics Xiaoying Liu,
Hennadii Balashov		 source 9
SESUG 2023 Wald Tests in Mixed Models - a Warning David A. Dickey source 20
PharmaSUG 2022 Measuring Reproducibility and Repeatability of an AI-based Quantitative Clinical Decision Support Tool Having a Medical Decision Point Douglas Milikien source 9
PharmaSUG 2021 Build a model: Introducing a methodology to develop multiple regression models using R in oncology trial analyses Girish Kankipati,
Jai Deep Mittapalli		 source 20
SGF 2021 Large-scale demand forecasting for e-commerce retailer using SAS Forecast Studio: A Case Study Ajay Kumar Mishra,
Mohak Narkhede,
Padmanabha Chandu Saladi		 source 9
SGF 2020 A Warning about Wald Tests David A. Dickey source 20
SESUG 2019 Intervention at the Library: Assessing the Effect of an Event David A. Dickey,
John Vickery		 source 19
SESUG 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
SGF 2019 A Selective Overview of Panel Data with Applications in SAS Oral Capps source 26
SGF 2019 IFRS9: Using SAS/ETD Software and SAS Studio to Select Macro Economic Variables Julio Alberto Campa Vega Filho source 19
SGF 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
SESUG 2018 Forecasting: Something Old, Something New David A. Dickey source 26
SESUG 2018 Predictive Modeling for Healthcare Professionals: The use of time-series analysis for health-related data and the application of ARIMA modeling techniques in SAS for Public Health Practice Camillia R. Comeaux source 6
WUSS 2018 Deep neural nets in SAS Enterprise Miner Russell M. Lavery source 49
WUSS 2018 Forecasting: Something Old, Something New David A. Dickey source 26
SGF 2018 Claim Risk Scoring Using Survival Analysis Framework and Machine Learning with Random Forest Yuriy Chechulin source 15
SGF 2018 Factors versus Clusters Diana D. Suhr source 16
SGF 2018 Forecasting: Something Old, Something New David A. Dickey source 26
SGF 2018 Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures Gerhard Svolba source 26
SGF 2018 Prediction and Interpretation for Machine Learning Regression Methods David Richard Cutler source 16
SGF 2018 The Function Selection Procedure Bruce S. Lund source 11
SCSUG 2016 Ten Tips for Simulating Data with SAS Rick Wicklin source 15
SESUG 2016 How is Healthcare Cost Data Distributed? Using Proc Univariate to Draw Conclusions about Millions of Different Customers Aran Canes source 8
MWSUG 2016 An Animated Guide: Deep Neural Networks in SAS Enterprise Miner Russell M. Lavery 47
WUSS 2016 Did the Protocol Change Work? Interrupted Time Series Evaluation for Health Care Organizations. Carol Conell,
Alexander C. Flint		 source 14
SGF 2016 Case Study Using SAS Forecast Studio: Daily Taxi Data from New York City [presentation] Simon Sheather source 47
SGF 2016 What's the Difference? David A. Dickey source 17
SCSUG 2015 Using SAS Software to Determine the Mixed Rotterdam Demand Model Parameters and Test Statistical References Maryam Tabarestani,
Hector Zapata		 23
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
SGF 2015 "Out Here" Forecasting: A Retail Case Study Chris Houck source 9
SGF 2015 Count Series Forecasting Michael J. Leonard source 14
SGF 2015 Improving the Performance of Two-Stage Modeling Using the Association Node of SAS Enterprise Miner 12.3 Girish Shirodkar,
Goutam Chakraborty,
Ankita Chaudhari		 source 9
SGF 2015 Strengthening Diverse Retail Business Processes with Forecasting: Practical Application of Forecasting Across the Retail Enterprise Alex Chien,
Elizabeth Cubbage,
Wanda Shive		 source 21
SGF 2015 Ten Tips for Simulating Data with SAS Rick Wicklin source
zip		 15
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 The bookBot Ultimatum! David A. Dickey,
John Vickery		 source
zip		 19
SGF 2015 Time Series Modeling and Forecasting--An Application to Stress-Test Banks Ania Supady source 13
SESUG 2014 Modeling Cognitive Processes of Learning with SAS Procedures Isaac Y. Li,
Yi-Hsin Chen,
Chunhua Cao,
Yan Wang		 source 11
MWSUG 2014 Modifying a structural equation model of child dietary intake using the Lagrange Multiplier test in SAS PROC CALIS for MWSUG 2014 Lauren Cook,
Chih-Ping Chou,
Nicole Gatto,
Jaimie N. Davis,
Donna Spruijt-Metz		 9
MWSUG 2014 Prediction Improvement from Geostatistical Methodology in Regression Modeling For Census Tract Data Robert G. Downer 10
WUSS 2014 Practice Pattern Instrumental Variables for Comparative Effectiveness Carol Conell,
Alexander C. Flint		 source 15
SGF 2014 Case-Level Residual Analysis in the CALIS Procedure Catherine Truxillo source 17
SGF 2014 Combining Type-III Analyses from Multiple Imputations Binhuan Wang,
Yixin Fang,
Man Jin		 source 6
SGF 2014 Confirmatory Factor Analysis and Structural Equation Modeling of Non-cognitive Assessments Using PROC CALIS Steven L. Holtzman source 11
SGF 2014 Ex-Ante Forecast Model Performance with Rolling Simulations Michael J. Leonard,
Ashwini Dixit,
Udo Sglavo		 source 18
SGF 2014 Healthcare Services Data Distribution, Transformation, and Model Fitting Dawit Mulugeta,
Jason Greenfield,
Tison Bolen,
Lisa Conley		 source 22
SGF 2014 Multivariate Time Series Modeling Using PROC VARMAX Anders Milhøj source 16
SGF 2014 Volatility Estimation through ARCH/GARCH Modeling Aric LaBarr source 5
WUSS 2013 Dynamic Regression in ARIMA Modeling Ross Bettinger source 11
SESUG 2013 Analyzing Multiway Models with ANOM Slicing Peter S. Wludyka source 11
MWSUG 2013 Adventures in Path Analysis and Preparatory Analysis Brandy R. Sinco,
Phillip L. Chapman		 19
SGF 2013 A Multilevel Model Primer Using SAS PROC MIXED Bethany A. Bell,
Jason A. Schoeneberger,
Mihaela Ene,
Whitney Smiley		 source 19
SGF 2013 Regression of NASCAR: Looking into Five Years of Jimmie Johnson Alex Herrington,
Liuchun Yang,
Yun Gao		 source 20
MWSUG 2012 Are Sales Figures in Line With Expectations? Using PROC ARIMA in SAS to Forecast Company Revenue Saveth Ho,
Brian Van Dorn		 10
MWSUG 2012 Combined Forecasts: What to Do When One Model Isn't Good Enough Ed Blair,
Michael J. Leonard,
Bruce Elsheimer		 14
WUSS 2012 Analysis of Dietary Patterns over Freshman Year of College Chelsea Lofland source 8
SGF 2012 Combined Forecasts: What to Do When One Model Isn't Good Enough Ed Blair,
Michael J. Leonard,
Bruce Elsheimer		 source 14
SESUG 2011 Breastfeeding in Developing Countries: A Case Study of Nepalese Children Paerwen Paerhate,
George Mason		 source 4
WUSS 2011 SAS Macros for the Working Statistician William Krebs source 9
NESUG 2011 Confirmatory Factor Analysis and Structural Ehuation Modeling of Non-cognitive Assessments Using PROC CALIS Steven L. Holtzman,
Sailesh Vezzu		 9
SGF 2011 SAS/ETS and the Nobel Prize David A. Dickey source 14
SGF 2010 Applications of PROC ESM in SAS 9.2 Anders Milhøj source 11
WUSS 2009 Application of Segmented Regression Analysis to the Kaiser Permanente Colorado Critical Drug Interaction Program Nikki M. Carroll source 8
SGF 2009 An Analysis of Market Shares on the Danish Alcohol Market Using Unobserved Components Anders Milhøj source 10
SGF 2009 Comparison of Features and Applications of Four Linear Models Procedures Larry W. Douglass source 19
SGF 2009 Designing Experiments for the Process George A. Milliken source 27
SGF 2009 Structural Analysis of Time Series Using the SAS/ETS UCM Procedure Rajesh S. Selukar source 13
SGF 2009 The Problem of Regression Assumptions and the Use of Predictive Modeling Patricia B. Cerrito source 20
WUSS 2008 Application of Segmented Regression Analysis to the Kaiser Permanente Colorado Critical Drug Interaction Program Nikki M. Carroll source 8
WUSS 2008 Comparing efficiency of cross validated partial least squares regression and ridge regression models in predicting spatial variability of total nitrogen concentration in Truckee River, Nevada. Anpalaki J. Ragavan source 13
SESUG 2008 Reject Inference Methodologies in Credit Risk Modeling Derek Montrichard source 10
MWSUG 2008 The Difference Between Predictive Modeling and Regression Patricia B. Cerrito 19
SGF 2008 How to Use SAS to Fit Multiple Logistic Regression Models Anpalaki J. Ragavan source 13
SESUG 2007 Data Mining and Investigating Treatment Options of Osteomyelitis with MRSA Hamed Zahedi source 9
SGF 2007 Analyzing Time Series Cross-Sectional Data with the PANEL Procedure Jan Chvosta,
Donald Erdman		 source 11
SGF 2007 Data Mining to Investigate the Prescribing of Medications Longitudinally Mussie A. Tesfamicael source 17
SGF 2007 OLS Regression? Auto-Regression? Dynamic Regression? Rodger Zhang source 12
SGF 2007 Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of the Ordinary Least Squares Regression Model Using SAS Leonor L. Ayyangar source 7
SGF 2007 Split and Conquer! Using SAS/QC to Design Quality into Complex Manufacturing Processes Jose G. Tobias,
Randall D. Ramirez		 source 25
MWSUG 2006 Deploying SAS as the Cornerstone of a Stability Monitoring Program Jeff Gardner 9
SESUG 2006 Gene Expression Profiling of DNA Microarray Data using Association rule and Structural Equation Modeling Mussie A. Tesfamicael source 7
WUSS 2006 Detecting Structural Change Using SAS ETS Procedures Archie J. Calise,
Joseph E. Earley		 source 7
WUSS 2006 Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of Ordinary Least Squares Regression Model Using SAS Leonor Ayyangar source 7
WUSS 2006 The Basics of Structural Equation Modeling Diana D. Suhr source 19
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
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
WUSS 2005 A Journey to Ellis Island: Profiling Historical Immigration Using SAS and JMP Time Series Methods Archie J. Calise,
Joseph E. Earley		 source 6
WUSS 2005 Revisiting the Cross-Over: A Two-Period Design Using a Treatment and a Placebo Qian Zhang,
Mable Kong		 source 10
SUGI 2005 Introducing SAS Forecast Studio Michael J. Leonard,
Brenda Wolfe,
Paddy Fahey		 source 16
SUGI 2005 Stationarity Issues in Time Series Models David A. Dickey source 17
NESUG 2004 An Animated Guide: Proc UCM Russell M. Lavery 23
SESUG 2004 Case Studies in Time Series David A. Dickey source 10
SESUG 2004 Case Studies in Time Series: Periodic Behavior and Related Issues Periodic Behavior,
Related Issues,
David A. Dickey		 source 16
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 Case Studies in Time Series II: Periodic Behavior and Related Topics David A. Dickey source 17
NESUG 2003 Statistics & Regression - Easier than SAS Vincent Maffei,
Michael L. Davis		 6
PharmaSUG 2003 Benchmarking Forecasting Practices in the Pharmaceutical Industry Chaman L. Jain,
St. John's		 6
SUGI 2003 Case Studies in Time Series David A. Dickey source 9
SUGI 2003 Multilevel Designs and Their Analyses George A. Milliken source
WUSS 2002 Structural Equation Modeling: Easy Solutions Using SAS Shuqiang Zhang source 5
SUGI 2002 Neural Networks and Genetic Algorithms as Tools for Forecasting Demand in Consumer Durables Jerry Nickelsburg,
Paul D. McNelis		 source 6
SUGI 2002 SEM for Health, Business, and Education Diana D. Suhr source 8
SCSUG 2000 Estimating Regression Models with Spatially-Correlated Errors Using the MIXED Procedure Sam Field 15
SCSUG 2000 Multi-Level Intervention Study Data and PROC MIXED Tom Bohman 13
NESUG 2000 Point & Click Forecasting with the Time Series Forecasting System Charles B. Hallahan 9
PharmaSUG 2000 Visualize Your Regression Analysis Fan Xu 7
SUGI 2000 Improved Confidence Interval on the Mean Response in Simple Linearizable Regression Mark Carpenter,
Pandu P. Kulkarni		 source 6
SUGI 2000 SAS Programs to Get the Most from X-12-ARIMA's Modeling and Seasonal Adjustment Diagnostics Catherine C. Hood source 6
WUSS 1999 Modeling Individual Utility Functions Using SAS PROC LOGISTIC: A Case Study Using the NES Data Set Godofredo Gatus source 4
NESUG 1999 Modeling Customer Choice David R. Roberts 6
MWSUG 1999 Using JMP for Visualization and DOE: A real life example William R. Gjertsen 9
SUGI 1999 Using the Mixed Procedure to Analyze a Fractional Factorial Split-Plot Experiment Jon M. Lindenauer source 4
SESUG 1998 Regression with Time Series Errors David A. Dickey 9
SUGI 1998 Analysis of the National Endowment of the Arts Using SAS/STAT Software James D. Ryan source 6
SUGI 1998 Multivariable Cox Proportional Hazard Model by SAS PHREG &Validation by Bootstrapping Using SAS Randomizers With Applications Involving Electrocardiology and Organ T ransplants Sudhanshu K. Ghoshal source 6
PNWSUG 1997 Using the Factor Relationship Diagram to Identify the Split-plot Factorial Design Wendy A. Bergerud 5
WUSS 1997 Analysis of Time Series Data - An Application in Health Care Sujaya Parthasarathy source 6
WUSS 1997 Cross-Validation Estimates of the Prediction Error in a Random-Coefficients Mixed Model Used to Estimate Emissions from On-Road Motor Vehicles using SAS Steven Brisby source 5
NESUG 1997 Attribute Smoothing: A Pattern Forecasting Technique David R. Roberts 4
SUGI 1997 Estimation via EM-Algorithm in a Bivariate Random Effects Model Amrik Shah,
Kirk A. Easley		 source 8
SUGI 1997 Introduction to Building a Linear Regression Model Leslie A. Christensen source 7
PNWSUG 1996 Net Impact for Program Evaluation Modeling and SAS Programming Boqing Wang 18
SEUGI 1996 Alentejo agriculture after Portugal's accession to the European Union Amilcar Serrao source 9
MWSUG 1995 Hypothesis Testing & Confidence Interval Estimation via the Least Absolute Value (LAV) Approach Tom G. Filloon 6
MWSUG 1995 Simulation and Bootstrapping in the SAS System: A tutorial using PROC IML Paul A. Thompson 10
WUSS 1995 General Reliability and Intraclass Correlation Program (GRIP) Ron D. Hayes,
Eric Yu I. Wang,
Michael S. Sonksen		 source 4
SEUGI 1995 Regional Econometric Modeling An Application of SAS/IML Software Jorgen Lauridsen source 20
WUSS 1994 SAS in Taming Classical Violations Kamal Shoukry source 3
MWSUG 1994 Alternative Approaches to Mixed Linear Models George W. Pasdirtz 6
MWSUG 1994 Use of Macros in Generating Statistical Comparisons for Bioequivalence Reports A. David Mundt 9
SUGI 1994 Introduction to Repeated Measures William G. LeBlanc source 9
SUGI 1994 Neural Network Implementation in SAS Software Warren S. Sarle source 23
SUGI 1993 Analysis of Split-Plot Experiments Using SAS Software Stephen P. Jones,
Monica Y. Chi		 source 6
SUGI 1993 Application of Conditional Logistic Regression Methods to Event History and Multiple-Choice Data Dan Steinberg source 4
SUGI 1993 Forecasting the Volatility of Financial Markets: ARCH/GARCH Models and the AUTOREG Procedure Minbo Kim source
NESUG 1992 More on Business Forecasting With SAS Jeffrey Jarrett 5
SUGI 1992 Testing the Rationality of Panel Data Forecasts Using a GMM Estimator Richard H. Cohen source 6
NESUG 1991 Postioning Variance and Comparing Treatment Means with CONTRAST and ESTIMATE Kenneth S. Yourstone 6
SUGI 1991 Implementation in the SAS System of the Bradu and Mundlak Minimum Variance Unbiased Estimator of the Mean of a Lognormal Distribution Sally Powell source 5
SUGI 1991 The Use of the SAS System in Statistical Training William L. Sanders source 4
SUGI 1991 Uses of SAS Software for Implementation of SPC on Continuous Processes Robert V. Baxley Jr. source 7
SUGI 1990 ANALYSIS OF COVARIANCE: REPEATED IfEASURES AND SPLIT-Plur DESIGNS George A. Milliken source 10
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 Determining Weight Values for EWMA Control Schemes Using the ARIMA Procedure John C. Brocklebank source 10
SUGI 1990 EVAL: An Application of SAS/ASSIST Software to Forecast Evaluation Philip E. Friend,
Linda P. Atkinson		 source 6
SUGI 1989 Database Management Techniques to Ensure Project Integrity Susan Campbell,
Jeffery Finkeldey		 source 3
SUGI 1989 Estimating Stochastic Coefficient Models with the SAS System Charles B. Hallahan source 6
SUGI 1989 How to Establish a Forecasting System with SASSoftware Joel Fingerman source 10
SUGI 1988 The Analysis of Complete Blocks Using Methods Based on Ranks Ronald L. Iman source 9
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 1988 The Influence of Economic Variables on Seminary Participation: A SAS/ETS Application Archie J. Calise,
Joseph E. Earley		 source 5
SUGI 1987 A SAS/ETS Software Forecasting and Inventory Planning System David Brauer,
Patrick Cardamone		 source 6
SUGI 1987 Comparison of Four Univariate Methods for Forecasting Seasonal Data by the SAS System Jeffrey Jarrett source 5
SUGI 1986 A Macro-driven Forecasting System for Evaluating Forecast Model Performance Bryan Sellers source 5
SUGI 1986 Financial Forecasting Through SAS Macro Processes Heydar Pourian source 6
SUGI 1986 Inference from the Incomplete Longitudinal Design: A Collection of SAS Macros James Rochon source 6
SUGI 1986 Mixed Model Analyses with the SAS System Ramon C. Littell source 8
SUGI 1986 Use of SAS Software to Forecast Claims R. Choudary Hanumara,
Michael Salzillo		 source 6
SUGI 1986 Weighted Ridge Estimation in a Collective Bargaining Context Teresa Ghilarducci,
Lawrence C. Marsh		 source 6
SEUGI 1985 New Features of the SAS/ETS and SAS/OR Software in Version 5 John C. Brocklebank source 37
SUGI 1985 A Time Series Approach to Modeling Daily Peak Electricity Demands Michael F. Jacob source 6
SUGI 1985 Changes and Enhancements to SAS/ETSSoftware David M. DeLong,
Leigh A. Ihnen,
Mark Little		 source 12
SEUGI 1984 New Statistical Features in SAS Gerhard Held source 13
SUGI 1984 A Hierarchical Approach to Daily Stock Market Forecasting Heydar Pourian source 6
SUGI 1984 Repeated Measures Analysis in PROC GLM Phil Spector source 10
SUGI 1984 Residential Energy Forecasting: A Pragmatic Application of Box-Jenkins Michael F. Jacob source 6
SUGI 1983 FAA Aviation Forecast Error Analysis System Sivaram Kalyandrug,
Akira Kondo		 source 6
SUGI 1983 Robust Regression and PROC JACKREGR Daniel M. Chilko,
Gerald R. Hobbs		 source
SUGI 1983 Univariate and Multivariate Repeated Measures Analysis Through PROCs REG, GLM, and MATRIX Robert S. Barcikowski,
Randall R. Robey		 source 6
SUGI 1982 SPSS MANOVA and BMDP4V for SAS GLM Users Kenneth N. Berk source 5
SUGI 1981 Analysis of a Two-Period Crossover Design Using Macro XSOVER Irving K. Hwang source
SUGI 1980 Examples of GLM Applications Ramon C. Littell source 7
SUGI 1980 Guttman Scale Analysis David C. Blouin source 4
SUGI 1980 Recent Developments in BMDP of Special Interest to SAS Users James W. Frane source 8
SUGI 1979 A SAS Macro for a Distribution-free Test for the Parallelism of Two Regression Lines Sandra Novinger,
Robert Rogers		 source 6
SUGI 1978 Applications in Econometrics: Problems, Programs, and Procedures Kenneth J. White source 6
SUGI 1978 Repeated Measures in SAS John A. Courtright source 5
SUGI.ONE 1976 Comments on ANOVA Calculations for Messy Data Shayle R. Searle source 11

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