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512 papers and 10 presentations; 423 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 Experience of an R Programmer Incorporating R in a SAS Studio Flow Shelby Taylor source 16
PharmaSUG 2026 Introduction to Plotting with the PROCS Package David J. Bosak source 11
PharmaSUG 2026 Regression Analysis Made Easy Using R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 source 32
PharmaSUG 2026 Ten Rules for Better Charts, Figures and Visuals Kirk Paul Lafler source 19
PHUSE APAC 2026 From Static to Interactive: A Comparative Evaluation of ggplot2 and Plotly in Clinical Data Visualisation Mugdha Joshi source
presentation source		 8
PHUSE EU 2025 Leveraging LLM for R Shiny App Code Development: A Case Study with Event Prediction [presentation] Yirong Cao source 15
SESUG 2025 Investigation of the Wage Gap between Sexes in Agriculture Jordyne Lewis 10
SESUG 2025 Time Series Analysis of Quarterly Air Traffic Passenger Counts at San Francisco International Airport Trenzy Odero,
Mostafa Zahed		 16
WUSS 2025 How did that Python code get in my SAS program? Jim Box source 7
PharmaSUG 2025 A Case Study on Visualization Methods in R Margaret Huang,
Chunting Zheng,
Lei Zhao,
Todd Case		 source 15
PharmaSUG 2025 Leveraging Python for Statistical Analysis in Public Health: Techniques and Visualizations for Life Sciences Professionals Michael Carnival source 14
PharmaSUG 2025 Shining a Light on Adverse Event Monitoring with R Shiny Abigail Zysk,
Joe Lorenz		 source 10
PharmaSUG 2025 Visualizing oncology data through 3D bar charts in R and Python Girish Kankipati,
Venkatesulu Salla		 source 18
PHUSE US 2025 Advanced Clinical Data Visualisation Using Violin Plots in R Mrityunjay Kumar,
Ephicacy Lifescience		 source
presentation source		 14
PHUSE US 2025 Predictive Analytics for Adverse Event Underreporting Steven A. Gilbert source
presentation source		 10
PHUSE EU 2024 Leveraging Shiny Modules for Modular and Scalable Web Applications for Clinical Trials/Research Sohan Lal,
Pinku Hooda		 source
presentation source		 10
SESUG 2024 Data Access Made Easy Using SAS Studio Kirk Paul Lafler,
Shaonan Wang,
Nuoer Lu,
Zheyuan (Walter) Yu,
Daniel Qian,
Swallow Xiaozhe Yan		 source 26
SESUG 2024 Ten Rules for Better Charts, Figures and Visuals Kirk Paul Lafler source 19
WUSS 2024 Analyzing Goalkeeper Impact in Premier League Football Alec Troy Christiansen,
Benjamin T Houser		 source 10
WUSS 2024 Qualitative and Quantitative Data Analysis and Visualization Using Python Leon Rod Davoody,
Lida Gharibvand		 source 6
PharmaSUG CN 2024 Elegant R: How to Use the Grid Package to Effortlessly Create Customized Graphics Zhonger Zhu,
Mochao Gao,
Yi Yang		 source 6
PharmaSUG 2024 A Deep Dive into Enhancing SAS/GRAPH and SG Procedural Output with Templates, Styles, Attributes, and Annotation Louise S. Hadden source 16
PharmaSUG 2024 Ten Rules for Better Charts, Figures and Visuals Kirk Paul Lafler source 19
PharmaSUG 2024 The Survival Mode Varsha Ganagalla,
Natalie Johnson		 source 12
PHUSE US 2024 Automation of Exploratory Report Generation using R shiny and R Markdown Denny Sebastian source
poster source		 7
PHUSE EU 2023 Detroit, Michigan: A Case Study for DEI Via Decentralised Clinical Trials (DCTs) Mark Rothe source
presentation source		 26
WUSS 2023 A Deep Dive into Enhancing SAS/GRAPH and SG Procedural Output with Templates, Styles, Attributes, and Annotation Louise S. Hadden source 17
WUSS 2023 Data Access Made Easy Using SAS Studio Kirk Paul Lafler,
Shaonan Wang,
Nuoer Lu,
Zheyuan (Walter) Yu,
Daniel Qian,
Swallow Xiaozhe Yan		 source 26
WUSS 2023 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 18
WUSS 2023 Open-Source Essentials HOW - R and RStudio Wendy Christensen source 17
WUSS 2023 Ten Rules for Better Charts, Figures and Visuals Kirk Paul Lafler source 19
SESUG 2023 Data Access Made Easy Using SAS Studio Kirk Paul Lafler,
Shaonan Wang,
Nuoer Lu,
Zheyuan (Walter) Yu,
Daniel Qian		 source 26
PharmaSUG 2023 Data Access Made Easy Using SAS Studio Kirk Paul Lafler,
Shaonan Wang,
Nuoer Lu,
Zheyuan (Walter) Yu,
Daniel Qian		 source 26
PharmaSUG 2023 Running Python Code inside a SAS Program Jim Box source 9
PharmaSUG 2023 Ten Rules for Better Charts, Figures and Visuals Kirk Paul Lafler source 19
PHUSE EU 2022 GSK Diversity Paper: The Challenges We Faced with Real-world Data Harrison James,
Chris Leach		 source
presentation source		 43
PHUSE EU 2022 Handling Missing Data in Statistical Programming Using Multiple Imputations in SAS [presentation] Marta Tomczyk,
Martyna Gawlowska		 source
video		 15
SESUG 2022 Enhancing Your Skillset with SAS OnDemand for Academics (ODA) Software Kirk Paul Lafler source 30
SESUG 2022 To Lend, or Not to Lend, That Is the Question! Evaluating Loan Application with Machine Learning Rafae Abdullah,
Sucharitha Vallabhaneni,
Jaideep Muley		 source 17
WUSS 2022 Data Access Made Easy Using SAS Studio Kirk Paul Lafler,
Zheyuan Yu,
Shaonan Wang,
Nuoer Lu,
Daniel Qian,
Swallow Xiaozhe Yan		 source 26
WUSS 2022 Ten Rules for Better Charts, Figures and Visuals Kirk Paul Lafler source 19
PHUSE EU 2021 Replicating R Figures into SAS Antonio Rodríguez Contestí source
video
presentation source		 26
SESUG 2021 Dressing Up your SAS/GRAPH and SG Procedural Output with Templates, Attributes and Annotation Louise S. Hadden source 16
SESUG 2021 Moving beyond Frequency and Percentage to Chi Square, t-Tests, and Correlation Analysis Kelly D. Smith source 12
SESUG 2021 Ten Rules for Better Charts, Figures and Visuals Kirk Paul Lafler source 19
SESUG 2021 Use SAS Enterprise Miner Workstation 15.1 to Do Predictive Analysis for Mobile Strategy Games Industry Chun Du source 11
SESUG 2021 Using JMP and R Integration to Analyze Virtual Chat Messages during a Coronavirus Pandemic Melvin T. Alexander source 37
PHUSE US 2021 Graphs Made Easy Using SAS Graph Template Language Manohar Modem source
video
presentation source		 27
PharmaSUG 2021 Data Visualization in Real World Data (RWD) and Health Economics Outcomes Research (HEOR) using (Statistical Analysis Software) SAS Swapna Ambati source 45
PharmaSUG 2021 Dressing Up your SAS/GRAPH and SG Procedural Output with Templates, Attributes and Annotation Louise S. Hadden source 16
PharmaSUG 2021 Graphs Made Easy Using SAS Graph Template Language Manohar Modem,
Bhavana Bommisetty		 source 31
PharmaSUG 2021 Making Your SAS Results More Meaningful with Color Kirk Paul Lafler source 19
SGF 2021 Automated Vehicle Odometer Reading Using SAS for AI and Computer Vision Tyler Rosacker,
Kedar Prabhudesai,
Hardi Desai,
Neela Vengateshwaran,
Varunraj Valsaraj		 source
pdf		 17
SGF 2021 Hello Graphics World: Basic Charts in SAS, R and Python Ted Conway source
presentation		 11
PHUSE EU 2020 Understanding the Spread of COVID-19 in the United States Using Topology and Machine Learning for Time Series Iryna Kotenko,
Kostiantyn Drach		 source
video
presentation source		 32
SESUG 2020 A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education Deanna Naomi Schreiber-Gregory source 13
SESUG 2020 Making Your SAS Results More Meaningful with Color Kirk Paul Lafler source 20
SESUG 2020 Outlier Detection and Treatment Ross Bettinger source 29
SGF 2020 A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education Deanna Naomi Schreiber-Gregory source 13
SGF 2020 Add SGSCATTER, SGPLOT, SGPANEL and SGRENDER Procedures to Your SAS Toolbelt Alex Chaplin source 16
SGF 2020 Bringing Computer Vision to the Edge: An Overview of Real-Time Image Analysis with SAS Maggie Du source 15
SGF 2020 Empower and Inspire-Designing Reports for Mobile Experiences.docx Khaliah H. Cothran source 18
SGF 2020 Exploring Online Drug Reviews using Text Analytics, Sentiment Analysis, and Data Mining Models Thu Dinh,
Goutam Chakraborty		 source 23
SGF 2020 Medical Image Analyses in SAS Viya with Applications in Automatic Tissue Morphometry in the Clinic Courtney Ambrozic source 13
SGF 2020 Neural-Network Based Forecasting Strategies in SAS Viya Steven C. Mills source 14
SGF 2020 Using Lag and Other Function in SAS to Create Final Datasets Temperature Study Abbas S. Tavakoli source 14
SGF 2020 Using Python with Model Studio for SAS Visual Data Mining and Machine Learning Jagruti Kanjia source 35
PharmaSUG 2020 A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education Deanna Naomi Schreiber-Gregory source 14
PharmaSUG 2020 Detecting Side Effects and Evaluating the Effectiveness of Drugs from Customers' Online Reviews using Text Analytics, Sentiment Analysis and Machine Learning Models Thu Dinh,
Goutam Chakraborty		 source 22
PHUSE EU 2019 Building Interactive Web Apps - Experiences with R Shiny Stephanie Fechtner source
presentation source		 12
SESUG 2019 Building a Better Dashboard Using SAS Base Software Kirk Paul Lafler source 21
SESUG 2019 Making Your SAS Results More Meaningful with Color Kirk Paul Lafler source 20
SCSUG 2019 Explore your data before you rush to analysis, you will thank me later: explorations in cross section data Steven C. Myers source 28
SCSUG 2019 Making Your SAS Results More Meaningful with Color Kirk Paul Lafler source 20
MWSUG 2019 Detecting Side Effects and Evaluating Effectiveness of Drugs from Customers' Online Reviews using Text Analytics and Data Mining Models Thu Dinh 23
MWSUG 2019 Explore your data before you rush to analysis, you will thank me later: explorations in cross section data Steven C. Myers 28
MWSUG 2019 Simulating Skewed Multivariate Distributions Using SAS: Cases of Lomax, Mardia's Pareto (Type I), Logistic, Burr and F Distributions Zhixin Lun,
Ravindra Khattree		 11
WUSS 2019 Bayesian Nonparametric Clustering in SAS Hend Aljobaily source 9
WUSS 2019 Choosing Wisely: Using the Appropriate Statistical Test for Trend in SAS Christina Park,
Jui-Ting Hsiung,
Melissa Soohoo,
Elani Streja		 source 10
PharmaSUG 2019 The Power of Data Visualization in R Oleksandr Babych source 21
SGF 2019 AI is Coming for Your BI: Automated Analysis in SAS Visual Analytics Rick Styll source 19
SGF 2019 Bring Analytics into Your Day Job Atrin Assa source 6
SGF 2019 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 19
SGF 2019 Interaction between SAS and Python for Data Handling and Visualization Yohei Takanami source 22
SGF 2019 Machine Learning and Predictive Analytics in SAS Enterprise Miner and SAS/STAT Software David Richard Cutler source 21
SGF 2019 SWAT's it all about? SAS Viya for Python Users Carrie Foreman source 18
SGF 2019 Ten Underused Features That Improve Your SAS Forecast Server Workflow Evan Anderson,
Michael J. Leonard		 source 18
SGF 2019 The Relationship Between Social Determinants of Health and Healthcare Utilization Ryan C. Butterfield,
Melissa Gottschalk,
Laura Soloway,
Paul A. LaBrec		 source 16
SCSUG 2018 Making Your SAS Results, Reports, Tables, Charts and Spreadsheets More Meaningful with Color Kirk Paul Lafler source 20
SCSUG 2018 Visual Storytelling - The Art of Communicating Information with Graphics Kirk Paul Lafler source 16
SESUG 2018 Five Crazy Good Visualizations and How to Plot Them David Mintz source 12
SESUG 2018 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 18
SESUG 2018 Tips and Techniques for Designing the Perfect Layout with SAS Visual Analytics Ryan Norris,
Brian Young		 source 22
MWSUG 2018 Getting Started with the SGPLOT Procedure Joshua M. Horstman 18
MWSUG 2018 Making Your SAS Output, Results, Reports, Charts and Spreadsheets More Meaningful with Color Kirk Paul Lafler 20
MWSUG 2018 Visual Storytelling - The Art of Communicating Information with Graphics Kirk Paul Lafler 16
WUSS 2018 Deep neural nets in SAS Enterprise Miner Russell M. Lavery source 49
WUSS 2018 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 18
WUSS 2018 Making Your SAS Results, Reports, Tables, Charts and Spreadsheets More Meaningful with Color Kirk Paul Lafler source 20
PharmaSUG 2018 An Introduction to the Analysis of Rare Events Nathaniel Derby source 19
PharmaSUG 2018 IF there is a better way than IF-THEN Bob Tian,
Anni Weng		 source 8
PharmaSUG 2018 Telling Stories with Jupyter Notebook Kevin Lee source 14
PharmaSUG 2018 Using SAS GTL to Visualize Data When there is Too Much of It to Visualize Nathaniel Derby,
Perry Watts		 source 22
SGF 2018 An unusual remedy using the usual "nbins" option to rectify anomalous histograms in SAS [presentation] Rachana Lele source 12
SGF 2018 Association Rule Mining of Polypharmacy Patterns in Health Care Data Using SAS Enterprise Miner Dingwei Dai source 17
SGF 2018 Back to Basics: Get Better Insights from Data Atrin Assa source 10
SGF 2018 Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures Gerhard Svolba source 26
SGF 2018 Make SAS Enterprise Miner Play Nicely with SAS Viya Beth Ebersole source 31
SGF 2018 SAS Fraud Framework and MCMC in Government Estimation of Improper Payments of Social Benefits Rodrigo Hildebrand,
Aloisio Dourado Neto		 source 10
SGF 2018 Sentiment Analysis of Netflix and Competitor Tweets to Classify Customer Opinions Rucha Jadhavar,
Agastya Komarraju		 source 15
SGF 2018 Tips and Techniques for Designing the Perfect Layout with SAS Visual Analytics Ryan Norris,
Brian Young		 source 22
SESUG 2017 Data Analysis and Storytelling - Communicating Analytical Results with Clarity, Precision and Efficiency Kirk Paul Lafler source 10
SESUG 2017 SAS In The Classroom: Exploratory Data Analysis with SAS Studio Jonathan W. Duggins source 20
SCSUG 2017 Building a Better Dashboard Using SAS Base Software Kirk Paul Lafler,
Joshua M. Horstman,
Roger D. Muller		 source 21
SCSUG 2017 Data Analysis and Storytelling - Communicating Analytical Results with Clarity, Precision and Efficiency Kirk Paul Lafler source 10
PHUSE EU 2017 The Graph Template Language of SAS Stephanie Fechtner source
presentation source		 9
MWSUG 2017 An Introduction to ODS Statistical Graphics Kirk Paul Lafler 13
MWSUG 2017 Using SAS to Compare Two Estimation Methods on the Same Outcome: Example from First Trimester Pregnancy Weights Brandy R. Sinco,
Edith Kieffer,
Kathleen Welch,
Diana Welmerink Bolton		 15
PharmaSUG 2017 Building a Better Dashboard Using SAS Base Software Kirk Paul Lafler,
Joshua M. Horstman,
Roger D. Muller		 source 17
PharmaSUG 2017 Topology-based Clinical Data Mining for Discovery of Hidden Patterns in Multidimensional Data Sergey Glushakov,
Iryna Kotenko,
Andrey Rekalo		 source 20
SGF 2017 Diving Deep into ODS Graphics Styles Dan Heath source 19
SGF 2017 Hands-On Graph Template Language (GTL): Part A Kriss Harris source
zip		 13
SGF 2017 Investigating Big-Data Crime Scenes Theresa H. Ngo source 10
SGF 2017 Pricing a Self-Funded Health Plan by Applying Generalized Linear Models Using SAS Enterprise Guide Luiz Carlos Leao source 20
SGF 2017 The Three Amigos Factors: Determining Term Deposit Purchases: How a Bank Can Get Other People's Money Gina Colaianni,
Bogdan Gadidov,
Matthew Mitchell		 source 59
SCSUG 2016 Building a Better Dashboard Using SAS Base Software Kirk Paul Lafler,
Joshua M. Horstman,
Roger D. Muller		 source 17
SESUG 2016 Building a Better Dashboard Using Base SAS Software Kirk Paul Lafler,
Joshua M. Horstman,
Roger D. Muller		 source 17
SESUG 2016 Data Visualization Through 3-D Graphs Using SAS Graph Template Language (GTL) Venu Perla source 12
SESUG 2016 Factors of Multiple Fatalities in Car Crashes Bill Bentley,
Gina Colaianni,
Kennedy Onzere,
Cheryl Joneckis,
Xuelei (Sherry) Ni		 source 62
SESUG 2016 How is Healthcare Cost Data Distributed? Using Proc Univariate to Draw Conclusions about Millions of Different Customers Aran Canes source 8
SESUG 2016 Introduction to ODS Statistical Graphics Kirk Paul Lafler source 13
PHUSE EU 2016 Communicating Results with R & Shiny Mika Mäkinen source
presentation source		 9
PHUSE EU 2016 Considerations in the Use of Propensity Scoresin Observational Studies Lawrence Rasouliyan,
Estel Plana		 source
presentation source		 17
PHUSE EU 2016 Interactive Data Visualisation and Exploration Using the Loon R Package Adrian Waddell source
presentation source		 8
PHUSE EU 2016 Proposal of a General Macro Framework for Propensity-score Matching [presentation] Holger Langkabel source 23
PHUSE EU 2016 Top 10 Uses of Macro %VARLIST - In Proc SQL, Data Step and Elsewhere Jean-Michel Bodart source
presentation source		 12
MWSUG 2016 A Demonstration of Various Models Used in a Key Driver Analysis Steven M. LaLonde 17
MWSUG 2016 An Animated Guide: Deep Neural Networks in SAS Enterprise Miner Russell M. Lavery 47
MWSUG 2016 An Animated Guide: Insights into the Logic of the ROC Curve Russell M. Lavery 8
MWSUG 2016 Building a Better Dashboard Using Base SAS Software Kirk Paul Lafler,
Joshua M. Horstman,
Roger D. Muller		 17
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 An Animated Guide: Insights into the Logic of the ROC Curve Russell M. Lavery source 8
WUSS 2016 Simulating Queuing Models in SAS Danny Rithy source 14
PharmaSUG 2016 Adding Statistics and Text to the Panel Graphs using INSET option in PROC SGPANEL Ajay Gupta source 6
PharmaSUG 2016 Building a Better Dashboard Using Base SAS Software Kirk Paul Lafler,
Roger D. Muller,
Joshua M. Horstman		 source 17
PharmaSUG 2016 Data Visualization for Quality Control in NONMEM Data set Linghui Zhang source 9
PharmaSUG 2016 Tips and Tricks for Bar Charts using SAS/Graph Template Language Randall Nordfors,
Boxun Zhang		 source 8
SGF 2016 Dynamic Dashboards Using Base-SAS Software Kirk Paul Lafler source 16
SGF 2016 Everyone CAN be a Data Scientist: Using SAS Studio to Create a Custom Task for SAS In-Memory Statistics Stephen Ludlow source 20
SGF 2016 Factors of Multiple Fatalities in Car Crashes Bill Bentley,
Gina Colaianni,
Cheryl Joneckis,
Sherry Ni,
Kennedy Onzere		 source 60
SGF 2016 Hands-On GTL Kriss Harris source 19
SGF 2016 Improving Health Care Quality with the RAREEVENTS Procedure Bucky Ransdell source 11
SGF 2016 Integrating SAS and R to Perform Optimal Propensity Score Matching Lucy D'Agostino McGowan,
Robert Greevy		 source 11
SGF 2016 What's the Difference? David A. Dickey source 17
SESUG 2015 Using SAS to Create an Effect Size Resampling Distribution for a Statistical Test Peter S. Wludyka source 10
WUSS 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
WUSS 2015 Coding Your Own MCMC Algorithm Chelsea Lofland source 19
WUSS 2015 Using PROC SGPLOT for Quick, High-Quality Graphs Lora D. Delwiche,
Susan J. Slaughter		 source 19
PharmaSUG CN 2015 The Application of Tolerance Interval in Defining Drug Response for Biomarker Jing Pan 7
PharmaSUG 2015 Variable-Width Plot - SAS GTL Implementation Songtao Jiang source 6
SGF 2015 Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer Patricia A. Berglund source 19
SGF 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SGF 2015 Coding Your Own MCMC Algorithm Chelsea Lofland source 19
SGF 2015 Getting Your Hands on Reproducible Graphs Rebecca Ottesen,
Leanne Goldstein		 source 19
SGF 2015 Graphing Made Easy with SGPLOT and SGPANEL Procedures Susan J. Slaughter source 19
SGF 2015 Graphs Are Easy with SAS 9.4 Sanjay N. Matange source
zip		 15
SGF 2015 Make Better Decisions with Optimization David R. Duling source
zip		 10
SGF 2015 SAS Analytics plus Warren Buffett's Wisdom Beats Berkshire Hathaway! Huh? Bruce Bedford source 20
SGF 2015 SAS for Six Sigma - An Introduction Daniel R. Bretheim source 32
SGF 2015 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund source 16
SGF 2015 Want an Early Picture of the Data Quality Status of Your Analysis Data? SAS Visual Analytics Shows You How Gerhard Svolba source
zip		 19
SCSUG 2014 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund 13
SESUG 2014 %DISCIT Macro: Pre-screening continuous variables for subsequent binary logistic regression analysis through visualization Mohamed S. Anany source 6
SESUG 2014 To foam or not to foam: A survival analysis of the foam head that forms when a soda is poured Kate Phillips source 16
PHUSE EU 2014 Unuttered Questions of Statistical Programmers Aparajita Dey source
presentation source		 10
MWSUG 2014 Interactive HTML Reporting Using D3 Naushad Pasha Puliyambalath Ph.D 7
MWSUG 2014 Up Your Game with Graph Template Language Layouts Sanjay N. Matange 20
PharmaSUG CN 2014 Quick Graphs with ODS Graphics Designer Sanjay N. Matange 15
WUSS 2014 Getting Your Hands on Reproducible Graphics Rebecca Ottesen,
Leanne Goldstein		 source 17
WUSS 2014 Reanalysis of Ecological Data from the 1989 China Study Using SAS Enterprise Guide Thomas E. Billings source 17
WUSS 2014 Using PROC SGPLOT for Quick, High-Quality Graphs Susan J. Slaughter,
Lora D. Delwiche		 source 19
PharmaSUG 2014 Healthcare Data Manipulation and Analytics Using SAS Lumin Shen,
Jane Lu		 source 11
PharmaSUG 2014 SAS Can Automatically Provide GTL Templates for Graphics in Three Ways David Shen,
Ben Adeyi		 source 8
PharmaSUG 2014 Up Your Game with Graph Template Language Layouts Sanjay N. Matange source 20
SGF 2014 An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Genine L. Blue		 source 19
SGF 2014 CMS Core Measures, the Affordable Care Act, and SAS Visual Analytics Joe Whitehurst,
Diane Hatcher		 source 16
SGF 2014 From Traffic to Twitter--Exploring Networks with SAS Visual Analytics Falko Schulz,
Nascif Abousalh-Neto		 source 32
SGF 2014 Graphing Made Easy with ODS Graphics Procedures Lora D. Delwiche,
Susan J. Slaughter		 source 19
SGF 2014 Graphs Useful for Variable Selection in Predictive Modeling Bob Moore source 9
SGF 2014 Increase Pattern Detection in SAS Graph Template Language with New Categorical Histograms and Color-Coded Asymmetric Violin Plots [presentation] Perry Watts source 11
SGF 2014 Is Nonlinear Regression Throwing You a Curve? New Diagnostic and Inference Tools in the NLIN Procedure Biruk Gebremariam source 16
SGF 2014 SAS 9.4 Web Application Performance: Monitoring, Tuning, Scaling, and Troubleshooting Rob Sioss source 17
SGF 2014 SAS Predictive Asset Maintenance: Find Out Why Before It's Too Late! George S. Habek source 19
SGF 2014 Unlock the Power of SAS Visual Analytics Starting with Multiple Microsoft Excel Files Beena Mathew,
Michelle Wilkie		 source 28
SGF 2014 Up Your Game with Graph Template Language Layouts Sanjay N. Matange source 20
SGF 2014 Using SAS Graph Template Language with SAS 9.3 Updates to Visualize Data When There is Too Much Data to Visualize Perry Watts,
Nathaniel Derby		 source 20
WUSS 2013 A Graphical Approach to Advise an Appropriate Statistical Analysis Bret Moulton,
Robin Jeffries		 source 7
WUSS 2013 Simulation in SAS with Comparisons to R Chelsea Lofland,
Rebecca Ottesen		 source 25
WUSS 2013 The Impacts of the Canadian Wheat Board Ruling on the North American Malt Barley Markets: Demonstrating a Copula Approach to Data Simulation Heidi Schweizer source 8
SESUG 2013 An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Phillip R. Sherlock,
Genine L. Blue		 source 13
SESUG 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SESUG 2013 Not Enough Time To Catch Extreme Observations? Flag and Report with Macros and Arrays Jamelle Simmons source 11
SESUG 2013 What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs Satish Garla source 15
MWSUG 2013 Adventures in Path Analysis and Preparatory Analysis Brandy R. Sinco,
Phillip L. Chapman		 19
MWSUG 2013 Aligning Parallel Axes in SAS GTL Perry Watts 10
MWSUG 2013 Increase Pattern Detection in SAS GTL with New Categorical Histograms and Color Coded Asymmetric Violin Plots Perry Watts 11
MWSUG 2013 The Graph Template Language: Beyond the SAS/GRAPH Procedures Jesse M. Pratt 10
NESUG 2013 Aligning Parallel Axes in SAS GTL [presentation] Perry Watts 10
NESUG 2013 Community Research Fellows Training Program Evaluation: Using SAS to Analyze Pre- and Post-Test Data Sarah A. Lyons,
Melody S. Goodman		 6
NESUG 2013 Graphically Speaking Blog and the Interactive ODS Graphics Designer Application Sanjay N. Matange 14
NESUG 2013 Increase Pattern Detection in SAS GTL with New Categorical Histograms and Color Coded Asymmetric Violin Plots [presentation] Perry Watts 11
SGF 2013 A Day in the Life of Data: Part 4 - Graphics and Reporting Sanjay N. Matange source 12
SGF 2013 Assessing Drug Safety with Bayesian Hierarchical Modeling Using PROC MCMC and JMP Richard C. Zink source 13
SGF 2013 Be Customer Wise or Otherwise: Combining Data Mining and Interactive Visual Analytics to Analyze Large and Complex Customer Resource Management (CRM) Data Aditya Misra,
Junyao Ji,
Kam Tin Seong		 source 11
SGF 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SGF 2013 Dashing out a Quick Dashboard of Graphs in SAS Alan C. Elliott,
Linda Hynan		 source
pdf		 6
SGF 2013 Extension Node to the Rescue of the Curse of Dimensionality via Weight of Evidence (WOE) Recoding Andrew Cathie,
Goutam Chakraborty,
Satish Garla		 source 9
SGF 2013 Multilevel Reweighted Regression Models to Estimate County-Level Racial Health Disparities Using PROC GLIMMIX Lucy D'Agostino,
Melody S. Goodman		 source 7
SGF 2013 Regression of NASCAR: Looking into Five Years of Jimmie Johnson Alex Herrington,
Liuchun Yang,
Yun Gao		 source 20
SGF 2013 SAS ODS Graphics Designer - The Next Step in Amazing Data Visualization Christopher Battiston source
pdf		 18
SGF 2013 What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs Albert Hopping,
Rick Monaco,
Sarah Rittman,
Satish Garla		 source 15
NESUG 2012 Introducing the FMM Procedure for Finite Mixture Models Maura E. Stokes 22
NESUG 2012 SAS for Six Sigma - An Introduction Daniel R. Bretheim 32
NESUG 2012 Using Axes Options to Stretch the Limits of SAS/GRAPH Template Language Perry Watts 20
NESUG 2012 Using SAS GTL with 9.3 Updates to Visualize Data When There is Too Much of it to Visualize Perry Watts,
Nathaniel Derby		 20
SCSUG 2012 MULTI-PANEL SCATTER PLOTS AND SCATTER PLOT MATRICES Paulina Kulesz source 13
SESUG 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 14
SESUG 2012 Using Axes Options to Stretch the Limits of SAS/GRAPH Template Language Perry Watts,
>>>>		 source 20
MWSUG 2012 Are You Dense? Using Kernel Density Estimation (KDE) to Connect the Dots Amidst Uncertainty Stephen Crosbie,
David J. Corliss		 8
MWSUG 2012 Introduction to the Graph Template Language Sanjay N. Matange 13
WUSS 2012 Quick Results with SAS ODS Graphics Designer Sanjay N. Matange source 14
WUSS 2012 SAS Programming Basics: Producing Results from Your Data Helen D. Carey source 16
WUSS 2012 SAS Rule-Based Codebook Generation for Exploratory Data Analysis Ross Bettinger source 8
PharmaSUG 2012 Making Your SAS Data JMP Through Hoops Mira Shapiro source 19
PharmaSUG 2012 Statistical Graphics for Clinical Research Using ODS Graphics Designer Wei Cheng source 23
SGF 2012 Enhanced Data Analysis Using SAS ODS Graphics and Statistical Graphics Patricia A. Berglund source 20
SGF 2012 Graphing Made Easy with SG Procedures Lora D. Delwiche,
Susan J. Slaughter		 source 19
SGF 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 20
SGF 2012 Introducing the FMM Procedure for Finite Mixture Models David Kessler,
Allen McDowell		 source 22
SGF 2012 Making Your SAS Data JMP Through Hoops Mira Shapiro source 19
SGF 2012 Quick Results with ODS Graphics Designer Sanjay N. Matange source 14
SGF 2012 Speeding Up Discovery John P. Sall source 13
SGF 2012 The Graph Template Language: Beyond the SAS/GRAPH Procedures Jesse M. Pratt source 10
SGF 2012 Transforming Variables for Normality and Linearity - When, How, Why and Why Not's Steven M. LaLonde source 8
SGF 2012 Using SAS for the Design, Analysis, and Visualization of Complex Surveys Sharon Lohr source 15
SGF 2012 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
Nathaniel Derby		 source 21
SCSUG 2011 An Introductory Look at the Situational Context Inherent in the RBI Using Two Modeling Approaches Ryan Sides source 14
SESUG 2011 Introduction to ODS Graphics for the Non-Statistician Mike Kalt,
Cynthia L. Zender		 source 28
SESUG 2011 Making Your SAS Data JMP Through Hoops Mira Shapiro source 11
SESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
>>>>		 source 22
SESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
>>>>		 source 22
WUSS 2011 An Introduction to the Analysis of Rare Events Nathaniel Derby source 19
WUSS 2011 Effects of Timing of Surgery in Children with Ureteropelvic Junction Obstruction: A Pediatric Health Information System (PHIS) Database Study using SAS Andrea Masias source 8
WUSS 2011 Graphing Made Easy with SG Procedures Susan J. Slaughter source 18
WUSS 2011 Probabilistic Record Linkage in SAS Glenn Wright source 13
WUSS 2011 SAS Essentials III: Statistics for Hamsters AnnMaria De Mars source 18
WUSS 2011 Statistical Graphics for Clinical Research Using ODS Graphics Designer Wei Cheng source 23
WUSS 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Nathaniel Derby source 22
PHUSE EU 2011 CYA with JMP - reloaded [presentation] David J. Garbutt source 38
MWSUG 2011 An Introduction to the Analysis of Rare Events Nathaniel Derby 19
MWSUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
Nathaniel Derby		 22
NESUG 2011 Combining the Results from Multiple SAS PROCs into a Publication Quality Table Robert Kabacoff 20
NESUG 2011 Replaying SAS Output with the Document Procedure Michael F. Tuchman 11
NESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
Nathaniel Derby		 22
SGF 2011 Finding the Best Display Type for Your Data Varsha Chawla,
Lisa Whitman		 source 7
SGF 2011 Graphing Made Easy with Output Delivery System (ODS) Graphics Procedures Susan J. Slaughter,
Lora D. Delwiche		 source 18
SGF 2011 Introduction to ODS Graphics for the Non-Statistician Mike Kalt,
Cynthia L. Zender		 source 28
SGF 2011 You Did That Report in SAS!? - The Power of the ODS.pdf Destination Peter J. Lund source 28
NESUG 2010 A SAS Application to Identify and Evaluate Outliers Richard Hendra,
Paulette W. Staum		 16
NESUG 2010 Creating Graphs Simply Using SAS or R John R. O'Leary,
Jaclyn A. Scholl		 8
NESUG 2010 Introduction to Statistical Graphics Procedures Selvaratnam Sridharma 20
WUSS 2010 Creating Presentation-Quality ODS Graphics Output Cleester D. Heath source 13
WUSS 2010 It's All about Variation: Improving Your Business Process with Statistical Thinking Robert N. Rodriguez source 18
WUSS 2010 Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician Rick Wicklin source 18
WUSS 2010 Secrets of the SG Procedures Cleester D. Heath source 19
WUSS 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
WUSS 2010 Using Graph Designer for High-Quality Graphs Sanjay N. Matange source 23
MWSUG 2010 Exploring, Analyzing, and Summarizing Your Data: Choosing and Using the Right SAS Tool from a Rich Portfolio Douglas Thompson 25
MWSUG 2010 It's All about Variation: Improving Your Business Process with Statistical Thinking Robert N. Rodriguez 18
MWSUG 2010 More To It Than Meets the Eye: Creating Custom Legends That Really Tell a Story Peter J. Lund 15
MWSUG 2010 Power to Detect Therapist Effects in Randomized, Controlled Trials of Interventions in Clinical Psychology Douglas Thompson,
Fary Cachelin,
Ruth Striegel-Moore,
Terry Wilson		 16
MWSUG 2010 Using PROC SGPLOT for Quick, High-Quality Graphs Lora D. Delwiche,
Susan J. Slaughter		 20
MWSUG 2010 You Created That Report in SAS!? The Power of the ODS PDF Destination Peter J. Lund 28
SESUG 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
PharmaSUG 2010 Thanks CDISC - Free Utilities Robert Agostinelli 5
PharmaSUG 2010 The Graph Template Language and the Statistical Graphics Procedures: An Example-Driven Introduction Warren F 20
SGF 2010 Creating Presentation-Quality ODS Graphics Output Dan Heath source 13
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 Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician Rick Wicklin source 18
SGF 2010 The Graph Template Language and the Statistical Graphics Procedures: An Example-Driven Introduction Warren F. Kuhfeld source 20
SGF 2010 Using New JMP Interactive Modules to Teach Concepts in Introductory Statistics Amy G. Froelich,
William M. Duckworth		 source 9
SGF 2010 Using PROC SGPLOT for Quick, High-Quality Graphs Susan J. Slaughter,
Lora D. Delwiche		 source 20
SCSUG 2009 ODS Graphics Designer Sanjay N. Matange 24
SESUG 2009 A Little Stats Won't Hurt You Nathaniel Derby source 18
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
SESUG 2009 Using SAS to Explore the Impact of a Care Management Maternity Program Barbara B. Okerson source 9
PHUSE EU 2009 Safety analysis using Bayesian simulation methods in SAS 9.2 Armin Gemperli source 8
MWSUG 2009 A Little Stats Won't Hurt You Nathaniel Derby 18
MWSUG 2009 Analysis of Emergency Room Waiting Time in SAS Brent Wenerstrom 10
PNWSUG 2009 A Little Stats Won't Hurt You Nathaniel Derby 18
PNWSUG 2009 Building Multiple Linear Regression Models - Food for Thought Colleen E. McGahan,
Mei Chong		 11
PNWSUG 2009 ODS Graphics Designer An Interactive Tool for Creating Batchable Graphs Sanjay N. Matange 24
NESUG 2009 Enhancing Textbook-Style Histograms with the PLOTHISTON09 SAS Macro Perry Watts,
Samuel Litwin		 18
NESUG 2009 Guido's Guide to PROC UNIVARIATE - A Tutorial for SAS Users Joseph J. Guido 18
NESUG 2009 ODS Graphics Designer Sanjay N. Matange 24
WUSS 2009 A Little Stats Won't Hurt You Nathaniel Derby source 18
WUSS 2009 Effective Graphics Using SAS/GRAPH SG Procedures Sanjay N. Matange source 13
WUSS 2009 ODS Graphics Designer: Your Tool of Choice for Interactive, Batchable Graphics Sanjay N. Matange source 24
WUSS 2009 ODS Statistical Graphics 101 Wei Cheng source 34
WUSS 2009 Using PROC SGPLOT for Quick, High-Quality Graphs Susan J. Slaughter,
Lora D. Delwiche		 source 19
PharmaSUG 2009 A Little Stats Won't Hurt You Nathaniel Derby 18
PharmaSUG 2009 Clinical Trial Reporting Using SAS/GRAPH SG Procedures Susan L. Schwartz 21
SGF 2009 A Little Stats Won't Hurt You Nathaniel Derby source 17
SGF 2009 Clinical Trial Reporting Using SAS/GRAPH SG Procedures Susan L. Schwartz source 21
SGF 2009 Generate a Customized Axis Scale with Uneven Intervals in SAS - Automatically Perry Watts source 13
SGF 2009 Modifying ODS Statistical Graphics Templates in SAS 9.2 Warren F. Kuhfeld source 25
SGF 2009 ODS Graphics Designer Sanjay N. Matange source 24
SGF 2009 ODS Graphics Designer: Your Tool of Choice for Interactive, Batchable Graphics Sanjay N. Matange source 24
SGF 2009 Secrets of the SG Procedures Dan Heath source 19
SGF 2009 Using PROC SGPLOT for Quick, High-Quality Graphs Lora D. Delwiche,
Susan J. Slaughter		 source 17
SGF 2009 Using SAS Software to Generate Textbook-Style Histograms Perry Watts source 18
SGF 2009 Using SAS to Explore the Impact of a Care Management Maternity Program Barbara B. Okerson source 9
WUSS 2008 ODS Statistical Graphics 101 Wei Cheng source 34
WUSS 2008 Using PROC SGPLOT for Quick, High-Quality Graphs Lora D. Delwiche,
Susan J. Slaughter		 source 16
SESUG 2008 Interpreting Three-way Interactions Using SAS Anh Le,
Maribeth H. Johnson		 source 12
SESUG 2008 Using SAS Graphics to Explore Behavioral Health Cost Risk Barbara B. Okerson source 8
PHUSE EU 2008 An Introduction to ODS Statistical Graphics Ian Sedgwick source 15
MWSUG 2008 Classification of Breast Cancer Cells Using JMP Marie Gaudard 34
MWSUG 2008 Visualization and the Improvement of Anodized Parts Using JMP Philip J. Ramsey,
Marie A. Gaudard,
Mia L. Stephens		 42
PNWSUG 2008 More To It Than Meets the Eye: Creating Custom Legends That Really Tell a Story Peter J. Lund 16
NESUG 2008 Generate a Customized Axis Scale with Uneven Intervals in SAS - Automatically Perry Watts 9
NESUG 2008 Using SAS Software to Generate Textbook-Style Histograms Perry Watts 18
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 ODS Statistical Graphics 101 Wei Cheng 34
SGF 2008 Branching Out with the Tree View Control in SAS/AF Software Lynn Curley,
Scott Jackson		 source 14
SGF 2008 Data Mining Application of Non-Linear Mixed Modeling in Water Quality Analysis Anpalaki J. Ragavan source 14
SGF 2008 How to Use SAS to Fit Multiple Logistic Regression Models Anpalaki J. Ragavan source 13
SGF 2008 Operational Risk: Economic Capital (EC) Modeling with a Loss Distribution Approach Sabri G. Uner source 14
SGF 2008 Using SAS Graphics to Explore Behavioral Health Cost Risk Barbara B. Okerson source 8
NESUG 2007 An Introduction to SAS Stat Studio: A Programmable Successor to SAS/INSIGHT Rick Wicklin,
Peter Rowe		 18
NESUG 2007 Charting the Basics with PROC GCHART Perry Watts 20
NESUG 2007 Exploratory Visualization of Correlation Matrices Shi-Tao Yeh 18
NESUG 2007 Histogram of Numeric Data Distribution from the UNIVARIATE Procedure Chauthi Nguyen 7
NESUG 2007 Summarizing the Power of Your Predictive Model with Receiver Operating Characteristic Curves Mithat Gonen 18
MWSUG 2007 Two Macros for Producing Graphs to Assess Agreement Between Two Variables David W. Meek 5
WUSS 2007 An Introduction to SAS Stat Studio: A Programmable Successor to SAS/INSIGHT Rick Wicklin,
Peter Rowe		 source 18
WUSS 2007 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter source 17
WUSS 2007 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter source 17
WUSS 2007 New SAS/GRAPH Procedures for Creating Statistical Graphics Cleester D. Heath source 16
WUSS 2007 Time Series Cross Sectional Analysis of Total Nitrogen Concentration in Truckee River, Nevada Using SAS Anpalaki J. Ragavan source 11
WUSS 2007 Validation Techniques in Clinical Trails Using SAS Enterprise Guide Venkata R. Darbha source 8
SCSUG 2007 An Introduction to SAS Stat Studio: A Programmable Successor to SAS/INSIGHT Rick Wicklin,
Peter Rowe		 18
PharmaSUG 2007 Exploratory Visualization of Correlation Matrices Shi-Tao Yeh 17
SGF 2007 An Introduction to SAS Stat Studio: A Programmable Successor to SAS/INSIGHT Rick Wicklin,
Peter Rowe		 source 18
SGF 2007 An Introduction to SAS Stat Studio: A Programmable Successor to SAS/INSIGHT Rick Wicklin,
Peter Rowe		 source 18
SGF 2007 Learning What You Didn't Know about Your Data Larry W. Douglass source 16
SGF 2007 New SAS/GRAPH Procedures for Creating Statistical Graphics in Data Analysis Dan Heath source 16
SGF 2007 Using ODS Styles with SAS/GRAPH Jeff Heath,
Dan Cartier		 source 8
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez		 32
PHUSE EU 2006 GKNIT your own - Creative ways to use Unix text tools for everyday problems David J. Garbutt source 17
SESUG 2006 Data Mining of Dental Information Christiana Petrou source 7
SESUG 2006 Graphics for Statistical Concepts and Data Display David A. Dickey source 19
WUSS 2006 Between Automation and Exploration: SAS Graphing Techniques for Visualization of Survey Data Chong Ho Yu,
Samuel DiGangi		 source 8
WUSS 2006 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter source 17
WUSS 2006 Easy Methods to Investigate Large Datasets Using ODS Graphics and New Features in SAS 9 Aimee Foreman,
Miriam G. Cisternas		 source 10
NESUG 2006 Receiver Operating Characteristic (ROC) Curves Mithat Gonen 18
NESUG 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 32
PharmaSUG 2006 Data Driven Annotations: An Introduction to SAS/GRAPH's Annotate Facility Arthur L. Carpenter 17
SUGI 2006 A Programmer's Introduction to the Graph Template Language Jeff Cartier source 14
SUGI 2006 Data-Driven Annotations: An Introduction to the SAS/GRAPH Annotate Facility Arthur L. Carpenter source 17
SUGI 2006 Estimate the False Discovery Rate Using SAS Jason A. Osborne source 10
SUGI 2006 Modeling Water Quality Trend in Long Term Time Series Anpalaki J. Ragavan,
George C. J. Fernandez		 source 10
SUGI 2006 Receiver Operating Characteristic (ROC) Curves Mithat Gonen source 18
SUGI 2006 SAS/OR - Making Sense of Network Data with Network Visualization Workshop Edward P. Hughes,
Phil Meanor		 source 20
SUGI 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 source 32
SESUG 2005 An Introduction to ODS for Statistical Graphics in SAS 9.1 Robert N. Rodriguez source 27
PHUSE EU 2005 A Practical Introduction to the Bootstrap Using the SAS System Nancy Barker source 17
MWSUG 2005 Comparison Of Enterprise Miner And SAS/STAT For Data Mining Patricia B. Cerrito 12
MWSUG 2005 Introduction To SAS Business Intelligence/Enterprise Guide Alex Dmitrienko 13
MWSUG 2005 Time Dependent Data Exploration And Preprocessing: Doing It All By SAS Joseph Twagilimana 10
NESUG 2005 Transforming Variables for Normality and Linearity - When, How, Why and Why Not's Steven M. LaLonde 8
PharmaSUG 2005 An Introduction to ODS for Statistical Graphics in SAS 9.1 Robert N. Rodriguez 27
NESUG 2004 An Introduction to ODS for Statistical Graphics in SAS 9.1 Maura E. Stokes 27
NESUG 2004 Graphical Display of Data - A Nonparametric Approach Shi-Tao Yeh 18
NESUG 2004 Perusing, Choosing, and Not Mis-using: Non-parametric vs Parametric tests in SAS Venita DePuy,
Paul Pappas		 5
NESUG 2004 Using MACRO and SAS/GRAPH to Efficiently Assess Distributions Paul Walker 7
SCSUG 2004 An Introduction to ODS for Statistical Graphics in SAS 9.1 Robert N. Rodriguez 27
SCSUG 2004 Equipment Data Development Case Study - Bayesian Weibull Analysis Wei Yu 43
SESUG 2004 An Overview of Non-parametric Tests in SAS: When, Why, and How Paul A. Pappas,
Venita DePuy		 source 5
WUSS 2004 An Introduction to ODS for Statistical Graphics in SAS 9.1 Robert N. Rodriguez source 27
PharmaSUG 2004 Box plots and Radar Plots for Pharmaceutical Studies: Some of the Better Ways to get a Clear Picture of Study Results Mary Cowmeadow 8
PharmaSUG 2004 Statistical Application of SAS in Method Comparison Analysis David Shen 13
SUGI 2004 A Stand-Alone SAS Annotate System for Figure Generation Brian P. Fairfield-Carter source 13
SUGI 2004 An Introduction to ODS for Statistical Graphics in SAS 9.1 Robert N. Rodriguez source 28
SUGI 2004 DATA: "Getting to Know You; Getting to Know All About You" Larry W. Douglass,
Sue E. Douglass		 source 17
WUSS 2003 Batch Automated Reporting and Analysis in Semiconductor Manufacturing Parametrics Tom Winter,
Willy Waks		 source 10
WUSS 2003 Picturing Statistics Diana D. Suhr source 6
SESUG 2003 Charting Your Course: Charts and Graphs for IT Projects Dawn Li,
Gary M. McQuown		 source 9
NESUG 2003 Air Quality Monitoring: A Robust Heteroscedastic Statistic for Testing the Equality of Transformed Pollutant Means Ling Huang,
Paul W. Johnson		 7
PharmaSUG 2003 A SAS Annotate System for Figure Generation Brian P. Fairfield-Carter 6
SUGI 2003 Developing SAS/AF Applications Made Easy Bernd E. Imken source 10
SCSUG 2002 Multi-Level Web-Based Analysis System for Semiconductor Parametric Data Tom Winter,
Willy Waks		 6
SCSUG 2002 Statistical Pattere Recognition Using Enterprise Miner and Self-Organizing Maps Keith A. Jones 8
NESUG 2002 Psychometrics 101 Ronald P. Cody 9
WUSS 2002 Enhancements to SAS/GRAPH in V9 Himesh Patel source 10
WUSS 2002 Multi-level Web-based Reporting System for Semiconductor Parametric Data Tom Winter,
Willy Waks		 source 6
WUSS 2002 Multiple Linear Regression Analysis of Total Mercury Levels in Blood and Urine Samples Miki Yamauchi,
George C. J. Fernandez,
Stanley Omaye		 source 6
MWSUG 2001 Seven (plus or minus two) Clusters, A Monte Carlo Study Larry Hoyle 10
NESUG 2001 The Marriage of EDA & Mapping Techniques for the Analysis/Display of Census Data. Dave L. DesJardins 8
SEUGI 2001 The Data Warhousing Process in the Development of Traffic Emission Information System of ATENA Project in Naples Giovanni Meccariello,
Livia Della Ragione,
Mario Rapone		 source 12
SUGI 2001 The Visualization of Continuous Data Using PROC KDE and PROC CAPABILITY George R. Barnes,
Patricia B. Cerrito		 source 6
SESUG 2000 Exploratory Data Analysis using PROC UNIVARIATE Robert E. Maitland Jr. source 4
NESUG 2000 Saving Paper and Making it Pretty: A SAS Macro for Simplifying and Enhancing Preliminary Analysis of Continuous Data Benjamin E. Leiby 7
WUSS 2000 Gaining Insight Using Visualization Techniques Curtis A. Smith,
Philip A. Cosby		 source 5
SEUGI 2000 Unambiguous Representation of Data Processing Requirements [presentation] John Mathews source 18
PharmaSUG 2000 The Lost Art of Annotate Richard O. Smith,
Arthur L. Carpenter		 5
PharmaSUG 2000 Visualize Your Regression Analysis Fan Xu 7
SUGI 2000 The Lost Art of Annotate Richard O. Smith,
Arthur L. Carpenter		 source 5
SUGI 2000 The Use of Kernel Density Estimators to Monitor Protocol Compliance Patricia B. Cerrito,
George R. Barnes		 source
SUGI 2000 Want Quick Results? An Introduction to SAS/GRAPH Software Arthur L. Carpenter source 6
SESUG 1999 Data Summarization Methods in Base SAS Procedures Lynne Bresler source 9
WUSS 1999 Are Histograms Giving You Fits? New SAS Software for Analyzing Distributions Nathan A. Curtis source 10
WUSS 1999 Exploring Enzyme-Linked Immunosorbent Assay (ELISA) Data with the SAS Analyst Application Stewart L. Fossceco,
Nathan A. Curtis		 source 9
WUSS 1999 Moving to Version 8 in SAS/AF: An Application Developer's Perspective Steven A. Wilson source 10
WUSS 1999 The Lost Art of Annotate Richard O. Smith,
Arthur L. Carpenter		 source 5
WUSS 1999 Using ANNOTATE Macros as Shortcuts Arthur L. Carpenter source 6
NESUG 1999 Exploratory Data Analysis: Getting to Know Your Data Michael A. Walega 8
NESUG 1999 Using ANNOTATE Macros as Shortcuts Arthur L. Carpenter 6
MWSUG 1999 Data Summarization Methods in Base SAS Procedures Lynne Bresler 9
SEUGI 1999 New product marketing analysis and launch [presentation] Jose Manuel Rey source 80
SUGI 1999 Achieving Graphical Excellence with SAS/GRAPH Software Archer R. Gravely source 6
SUGI 1999 Data Exploration Made Easy George C. J. Fernandez source 7
SUGI 1999 Exploring Enzyme-Linked Immunosorbent Assay (ELISA) Data with the SAS Analyst Application Stewart L. Fossceco,
Nathan A. Curtis		 source 9
SUGI 1999 Reporting Multidimensional Data on the Web using SAS/GRAPH and SAS/IntrNet Software Edward A. Tasch source 7
SUGI 1999 Statistical Graphics David A. Dickey source 8
SUGI 1999 Three Methods to Produce Descriptive Statistics and Histogram Using SAS Bing Deng source 4
SUGI 1999 Using ANNOTATE Macros as Shortcuts Arthur L. Carpenter source 6
SUGI 1999 Using SAS/INSIGHT Software as an Exploratory Data Mining Platform Robin Way source 6
SESUG 1998 INF()RMA TION 1II.sUALlZATION Achieving Graphical Excellence 10
SESUG 1998 Regression with Time Series Errors David A. Dickey 9
PharmaSUG 1998 Graphically Enhancing the Visual Presentation and Analysis of Univariate Data Using SAS Software James R. O'Hearn 5
SUGI 1998 Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents John C. Brocklebank,
Mark Brown		 source 24
NESUG 1997 Accessing a SAS Variable Label: An Example of the Use of Macro Variables Carl E. Pierchala 2
NESUG 1997 Choosing a Method for Connecting Java to the SAS System across the Internet CGI, JDBC, Socket, or Jconnect? Larry Hoyle 9
NESUG 1997 Graphically Enhancing Univariate Descriptive Statistics James R. O'Hearn 3
SESUG 1997 Exploring Data With Base SAS Software Thomas J. Winn Jr. 7
SEUGI 1997 Linking business applications Christine Prigent,
François Michel,
Josette Barazon		 source 17
SUGI 1997 Choosing a Method for Connecting Java to the SAS System Across the Internet-CGI, JDBC or Socket? Larry Hoyle source 8
SUGI 1997 Introduction to JMP under Windows: Hands-On Workshop Outline Jenny Aquino Kendall,
Al M. Best,
Charles E. Shipp		 source 6
SUGI 1997 Want Quick Results? An Introduction to SAS/GRAPH Software Arthur L. Carpenter source 6
SCSUG 1996 Getting Started With SAS/INSIGHT Destiny Corporation (a company) 11
SESUG 1996 SAStistics 101 Robert E. Johnson 8
NESUG 1996 Using the SAS System for Continuous Quality Improvement Melissa A. Durfee 10
WUSS 1996 Comparison of Different SAS Modules for Effective Data Analyses George C. J. Fernandez source 2
MWSUG 1995 Using SAS/QC To Automate The "Magnificent Seven" Tools of Quality Roderick Lashley 8
NESUG 1995 A Survey of Capability Invoices Dennis W. King 11
NESUG 1995 Multivariate Density Estimation using SAS Software Jeffrey S. Butler 9
SEUGI 1995 SPHINX: An Interactive Object-Oriented Petroleum Application to Enhance the Production of an Oil Reservoir at ELF AQUITAINE Michel Lariviere source 7
SUGI 1995 An Introduction to JMP Software, Release 3.1, SAS Institute's Statistical Visualization Software for Both Macintosh and Windows William R. Gjertsen source 7
SUGI 1995 Analytic Modeling in SAS/INSIGHT Software Heman Robinson source 6
SCSUG 1994 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 6
WUSS 1994 Techniques to Avoid: What Momma Should Have Told You About SAS/GRAPH Arthur L. Carpenter source 4
WUSS 1994 Visualization of Scientific Data: Specialty Graphs Without Using Annotate Arthur L. Carpenter source 9
NESUG 1994 Exploratory Data Analysi When You Don't Have SAS/INSIGHT Michael A. Walega 10
NESUG 1994 Graphical Techniques for Evaluating "Nonnormal" Data Melissa A. Durfee 9
SESUG 1994 GRAPHICS USING GRAPmCS TO CONVEY STATISTICAL CONCEPTS AND RESULTS David A. Dickey 4
SEUGI 1994 A SAS System as an Infocentre Tool: Implementation of Infocentre at Cofina, Italy Enrico Guagnini source 7
SUGI 1994 Another Point of View: Color Stereographic Projections for Machine Capability Studies Christopher L. Bonar source 6
SUGI 1994 Exploring Data With Base SAS Software Thomas J. Winn Jr. source 6
SUGI 1994 Introduction to the UNIVARIATE Procedure Kim L. Kolbe Ritzow source 8
SUGI 1994 Recent Issues in Statistical Process Control: SAS Solutions USing Statistical Modeling Procedures Robert N. Rodriguez source 18
SUGI 1994 Visualization of Scientific Data: Specialty Graphs Without Using Annotate Arthur L. Carpenter source 9
SCSUG 1993 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 30
MWSUG 1993 Statistical Graphs in Environmental Regulatory Studies Larry R. Holden 8
SEUGI 1993 Exploratory Data Analysis Using SAS Software Gerhard Held source 11
SUGI 1993 Development of an Analysis System Based on the Information System of a Social Organization Habibollah Bin Haran,
Mohd Yunus B. Majid,
Faridah Maaral,
Noriah B. Idris		 source 7
SUGI 1993 Effective Data Graphics with SAs/GRAPH Software L. M. Harschnitz,
Laurie A. Abell		 source 6
SUGI 1993 Exploratory Data Analysis Using SAS Software Greg J. Weier,
Randall D. Tobias		 source 11
SUGI 1993 Graphical Evaluation of Product Characteristics Melissa A. Durfee source 6
SUGI 1993 Sheet Product Conformance Reporting System L. Richard Woodyatt,
John A. McNamara		 source 8
SUGI 1993 Spectral Decomposition and Reconstruction of Nuclear Plant Signals Kristin K. Hoyer,
Kenny C. Gross		 source 6
SUGI 1993 Statistical Graphics in Environmental Regulatory Studies Larry R. Holden source 8
NESUG 1992 Introduction to Release 6.08 SAS/INSIGHT and SAS/LAB Software Mark Brown 6
MWSUG 1992 Introduction to Release 6.08 SAS/INSIGHT and SAS/LAB Software Mark Brown,
Marshall P. Scott		 6
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
NESUG 1991 Graphical Evaluation of Product Characteristics Melissa A. Durfee 6
SEUGI 1991 Features of SAS/PH-Clinical Software Gerhard Held,
Patrick O'Donoghue		 source 10
SUGI 1991 Creating Dot Diagrams Karen G. Malley source 4
SUGI 1991 Data Analysis Applications for the Semiconductor Industry Leslie Fowler,
Alan Yost,
Jim Chalmers		 source 5
SUGI 1991 Features of SAS/PH-Clinical Software Sandra D. Schlotzhauer source 10
SUGI 1991 Power Analysis and Instructional Monte Carlo Simulations Richard W. Cole source 4
NESUG 1990 Using Statistical Visualization as a Tool in Continuous Process Improvement Gregg A. Spindler,
Kalman J. Gyimesi		 5
SUGI 1990 JMP Tutoria! John P. Sall source 8
SEUGI 1989 An Introduction To Statistical Quality Control Using The SAS System Randy Topp,
Tasha Kostantacos		 source 4
SEUGI 1989 Using SAS/QC Software Within An Information System For Quality Data Management Thomas Schunk source 7
SUGI 1989 Solution of 111 posed Inverse Problems Using B-Splines James E. Dunn,
Kumi Era		 source 6
SUGI 1989 You Too Can Produce and Customize Complex Graphs Using the Annotate Facility and the GSLIDE Procedure with Release 6.03 of SAS/GRAPH Software Ron Lovell source 6
SUGI 1988 A Statistical Analysis of the Zip+4 Data Base Peter Weiss source 6
SUGI 1988 An Intelligent Interface to the SAS System for Use by Product Development Engineers Debra D. Spencer source 6
SUGI 1988 SAS/QC and SAS/GRAPH Software: An Efficient and Easy Means to Analyze Product Characteristics and Capabilities Jim R. McHenry source 6
SUGI 1987 Using SAS Software to Quantify Dissimilarity among Environmental Samples John M. Rinehart source 6
SEUGI 1986 An Introduction to SAS/QC Software Gerhard Held source 11
SUGI 1986 An Introduction to SAS/QC Software Robert N. Rodriguez source 11
SUGI 1986 Measuring Data Variability Fred Gehm source 3
SUGI 1986 The Kodak Quality Package James L. Bossert,
Julie A. LaBarr		 source 6
SUGI 1986 The SAS System as a Tool for the Financial Systems Auditor Ferrell Drewry source 20
SUGI 1986 Using SAS Software to Provide Descriptive Statistics and Customized Report Writing for a Materials Management Function Bruce W. Eagle source 7
SUGI 1986 Utilizing Macro XMEDAGE to Obtain an Interpolated Median Age Frances N. Bari source 6
SUGI 1985 Development of Graphical Tools for Enhancements to SAS/GRAPH Software Kikuo Nakazawa,
Hiroshi Takaya,
Michiya Tomita,
Masafumi Yoshida		 source 6
SUGI 1985 Using SAS Software to Generate Unsupervised LANDSAT Classifications Virginia R. Hetrick,
Kenneth M. Portier		 source 6
SEUGI 1983 SAS Applied to Statistical Databanks via a Command Language Inger Nilsson 6
SUGI 1983 Implementing On-Line Relational Data Bases with SAS Richard B. Waina source 4
SUGI 1983 Percentile Matching: An Alternative Method of Curve Fitting James H. Smith source 5
SUGI 1980 Management and Performance Reporting in an MVS Environment Mario M. Morino source
SUGI 1980 Recent Developments in BMDP of Special Interest to SAS Users James W. Frane source 8
SUGI 1980 SAS as a Management Tool for Endangered Species Data Joshua Sharlin source 4
SUGI 1980 SHAPE: An Interactive Graphics SAS Procedure for Fitting Histograms Robert N. Rodriguez source 6
SUGI 1979 SAS Used for Data Management and Mathematical Analysis of a Flow Microflourometry Histograms Warren Curry,
William Ingram III,
Dennis C. Lezotte		 source 5
SUGI 1977 Histogram Creation with SAS Program Statements Rodney H. Strand,
M. L. Tharp		 source 2
SUGI.ONE 1976 A Comparison of BMD, SAS and SPSS T. Papaioannou,
G.P.H. Styan,
L.L. Ward		 source 21

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