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388 papers and 10 presentations; 327 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 CN 2026 A Comprehensive R Shiny Application for Pharmacokinetic Analysis Keyi Zhang source 17
PharmaSUG CN 2026 Interactive Clinical Plot Gallery with Cross-Plot Subject Linking in R Shiny You (Lea) Lyu source 10
PharmaSUG 2026 Building for the Long Haul: Managing Scope, Refactoring, and CI/CD in Internal R Packages Huijun An,
Blazej Neradilek,
Chenchen Yu,
Shannon Grant		 source 9
PharmaSUG 2026 Path to Consistent Clinical Graphics: An R Shiny Gallery Michelle Harwood,
Austin Taylor		 source 12
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
PharmaSUG 2026 Visualizing PK and ADA Data at Scale: A Parameter-Driven SAS Macro for Box Plot Generation Prasannanjaneyulu Narisetty,
Anilkumar Anksapur		 source 9
PHUSE US 2026 Building for the Long Haul: Managing Scope, Refactoring, and CI/CD in Internal R Packages [presentation] Blazej (Moni) Neradilek,
Chenchen Yu		 source 14
PHUSE APAC 2026 Enhancing Real-Time Clinical Reporting with R Shiny and Large Language Models: Automated Code Generation and Dynamic TLG Visualization Mahesh Divakaran source
presentation source		 10
PHUSE APAC 2026 Signal First: A Data-Driven Approach to Safety Prioritization Using SAS and Tableau Jinu J. Nair,
Rubina Pathan		 source
poster source		 9
PHUSE APAC 2026 Streamlining Python and R Code Generation from SAP and Programming Specifications Using Multi-Agent LLMs Siju Chacko,
Abhishek Mishra		 source
presentation source		 8
PHUSE EU 2025 Cracking the Curve: Unlocking Clinical Insights with Ridgeline Plots Mariam Babayan,
Rafik Ghazaryan		 source
presentation source		 6
SESUG 2025 Here Comes the Rain (Cloud Plot) Again Bartosz Jabłoński 21
SESUG 2025 Investigation of the Wage Gap between Sexes in Agriculture Jordyne Lewis 10
PharmaSUG 2025 A Case Study on Visualization Methods in R Margaret Huang,
Chunting Zheng,
Lei Zhao,
Todd Case		 source 15
PharmaSUG 2025 A Macro to Automate Data Visualization using SAS Graph Template Language (GTL) Ming Yang source 4
PharmaSUG 2025 Interactive Longitudinal Data Analysis and Visualization in Clinical Research Using R. María José Gómez Ramírez source 8
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 Zero to Hero: The Making of a Comprehensive R Shiny Figures App Yi Guo,
Matthew Salzano,
Nicholas Sun,
Sean Healey		 source 30
PHUSE US 2025 Advanced Clinical Data Visualisation Using Violin Plots in R Mrityunjay Kumar,
Ephicacy Lifescience		 source
presentation source		 14
PHUSE US 2025 Evaluation of Open-Source Technologies in Clinical Trial Reporting Jaimin Patel source
poster source		 7
PHUSE US 2025 Predictive Analytics for Adverse Event Underreporting Steven A. Gilbert source
presentation source		 10
MWSUG 2024 A Quick Start Guide to Writing a Technical or Research Paper Kirk Paul Lafler source 9
MWSUG 2024 Bring Your SAS and Python Worlds Together With SASPy! [presentation] Ted Conway source 32
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 An Integrative Analyzer for Publicly Available COVID-19 Genome-wide Association Studies Zhongshan Cheng source 14
SESUG 2024 Ten Rules for Better Charts, Figures and Visuals Kirk Paul Lafler source 19
SESUG 2024 Using PROC PSMATCH for Assembling Parallel Test Forms Tsung-Hsun Tsai,
Yung-Chen Hsu		 source 11
WUSS 2024 Here Comes the Rain (Cloud Plot) Again Bartosz Jabłoński source 21
WUSS 2024 Qualitative and Quantitative Data Analysis and Visualization Using Python Leon Rod Davoody,
Lida Gharibvand		 source 6
PharmaSUG CN 2024 An Efficient R Shiny App for Exposure-Response Relationship (E-R) Analysis in Oncology Drug Development Zhenghao Chu source 28
PharmaSUG 2024 Ten Rules for Better Charts, Figures and Visuals Kirk Paul Lafler source 19
PHUSE US 2024 Automation of Exploratory Report Generation using R shiny and R Markdown Denny Sebastian source
poster source		 7
PHUSE US 2024 Redefining 'Interactive' Dashboards to Enhance Safety Data Review Andrew McGowan source
presentation source		 7
PHUSE EU 2023 Boosting SAS Programming Efficiency with ChatGPT: A Clinical Trials Perspective Illia Skliar source
presentation source		 11
PHUSE EU 2023 Figures are Basic(ally Overlooked) Kaleb Mead source
poster source		 17
PHUSE EU 2023 SAS Task: Three Ways [poster] Simon Woods source 1
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
WUSS 2023 Univariate Outlier Detection Using SAS Fan Yang source 12
SESUG 2023 Translating Common Data Visualizations from PROC SGPLOT to ggplot2 Austin R. Brown source 11
PharmaSUG 2023 Post-surgical opioid pain medications usage evaluation using SAS and Excel Marek K. Solak source 11
PharmaSUG 2023 Ten Rules for Better Charts, Figures and Visuals Kirk Paul Lafler source 19
PharmaSUG 2023 The Flexible Ways to Create Graphs for Clinical Trial Hong (Lily) Zhang,
Kaijun Zhang		 source 11
PharmaSUG 2023 Validating novel maraca plots - R and SAS love story Nicole Major,
Srivathsa Ravikiran,
Monika Huhn,
Samvel Gasparyan,
Martin Karpefors		 source 17
PHUSE US 2023 Automation of ADaM Dataset & TFL Visualization Through an R Package - GenAdam2 Mahesh Divakaran source
presentation source		 5
PHUSE EU 2022 Exploratory Analysis - People-powered Pathways to Success within a Critical Risk-based Approach [presentation] Simon Jackson source
video		 21
SESUG 2022 Custom Panel Graphs Using PROC TEMPLATE James E. Blum source 25
WUSS 2022 Ten Rules for Better Charts, Figures and Visuals Kirk Paul Lafler source 19
PharmaSUG 2022 Building Dashboards for Data Review and Visualization using R Shiny John Saida Shaik,
Sreeram Kundoor		 source 13
PHUSE US 2022 Non-Random Circular Jittering Algorithm Using Trigonometric Functions for Scatter Plots of Ordinal Outcomes with Overlapping Points [presentation] Michael Pannucci source 22
PHUSE US 2022 R and its Application in Clinical Trial Data Analysis [presentation] Santosh Kumar Davuluri source
video		 21
PHUSE EU 2021 Clinical Design - Visualisation and Analysis Using the Interactive Application by R Shiny Athira Sudhakar,
Mahesh Divakaran		 source
video		 7
PHUSE EU 2021 Replicating R Figures into SAS Antonio Rodríguez Contestí source
video
presentation source		 26
PHUSE EU 2021 Update to Recommended Analyses and Displays for Laboratory Data [poster] Charles Beasley,
Wei Wang		 source
video		 1
SESUG 2021 Ten Rules for Better Charts, Figures and Visuals Kirk Paul Lafler source 19
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
PHUSE US 2021 Visualization of Sparse PK Concentration Sampling Data, Step by Step (Improvement by Improvement) Ilya Krivelevich source
video
presentation source		 12
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
PharmaSUG 2021 Visualization of Sparse PK Concentration Sampling Data, Step by Step (Improvement by Improvement) Ilya Krivelevich,
Simon Lin		 source 14
SGF 2021 Hello Graphics World: Basic Charts in SAS, R and Python Ted Conway source
presentation		 11
PHUSE EU 2020 Make your data come alive Babych Oleksandr source
video
presentation source		 11
PHUSE EU 2020 Using R Shiny to Create and Expand Thumbnail Images [presentation] John Hendrickx source
video		 18
SESUG 2020 Making Your SAS Results More Meaningful with Color Kirk Paul Lafler source 20
PHUSE US 2020 Generating TFLs in R - Challenges and Successes Compared to SAS Amol Wayker,
Andrew Miskell		 source
presentation source		 10
PHUSE EU 2019 Building Interactive Web Apps - Experiences with R Shiny Stephanie Fechtner source
presentation source		 12
PHUSE EU 2019 Laboratory Data: Issues with Myultiple Reference Ranges and Methods of Normalisation Jessica Hoegg,
Laura Marquis		 source
presentation source		 20
PHUSE EU 2019 R or Python? Dilemma, Dilemma Elsa Lozachmeur,
Nicolas Dupuis		 source
presentation source		 18
SESUG 2019 Doing More with the SGPLOT Procedure Joshua M. Horstman source 18
SESUG 2019 Interactive Graphs Kriss Harris source 24
SESUG 2019 Making Your SAS Results More Meaningful with Color Kirk Paul Lafler source 20
SESUG 2019 Scatterplots: Basics, Enhancements, Problems, and Solutions Peter L. Flom source 13
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 Doing More with the SGPLOT Procedure Joshua M. Horstman 18
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 Exploring and characterizing time series data in a non-regression based approach Steven C. Myers 20
MWSUG 2019 Interactive Graphs Richann J. Watson,
Kriss Harris		 24
MWSUG 2019 Scatterplots: Basics, Enhancements, Problems, and Solutions Peter L. Flom 13
WUSS 2019 Doing More with the SGPLOT Procedure Joshua M. Horstman source 18
WUSS 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 24
PharmaSUG 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 24
PharmaSUG 2019 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Karlen Bader		 source 21
SGF 2019 A Practical Guide to Responsive Reactive Design Using SAS Visual Analytics Elliot Inman source 18
SGF 2019 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 19
SGF 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 23
SGF 2019 Scouting in Soccer with Applied Machine Learning Vishal Gaurav,
Goutam Chakraborty		 source 19
SGF 2019 Statistical Data Checks to Identify Questionable and Suspicious Data Kaitie Lawson source 11
SGF 2019 SWAT's it all about? SAS Viya for Python Users Carrie Foreman 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
PHUSE US 2019 An Open Clinical Data Quality Framework Vineet Jain source
presentation source		 11
SCSUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
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
PHUSE EU 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source
presentation source		 14
PHUSE EU 2018 Collinearity in Mixed Models John Hendrickx source
presentation source		 11
SESUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
SESUG 2018 Doing More with the SGPLOT Procedure Joshua M. Horstman source 18
SESUG 2018 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 18
SESUG 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 22
MWSUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 18
MWSUG 2018 From Clicking to Coding: Using ODS Graphics Designer as a Tool to Learn Graph Template Language Margaret Kline,
Daniel Muzyka		 9
MWSUG 2018 Getting Started with the SGPLOT Procedure Joshua M. Horstman 18
MWSUG 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Karlen Bader		 22
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 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
WUSS 2018 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 18
WUSS 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory source 21
WUSS 2018 Making Your SAS Results, Reports, Tables, Charts and Spreadsheets More Meaningful with Color Kirk Paul Lafler source 20
WUSS 2018 Oops, I D-I-D It Again! Advanced Difference-in-Differences Models in SAS Margaret Warton,
Melissa Parker		 source 17
PHUSE US 2018 Integrating Externally Acquired Data Into Standard Workflows Nate Mockler,
Saranya Duraisamy		 source
presentation source		 4
PharmaSUG 2018 Advanced Visualization using TIBCO Spotfire and SAS Ajay Gupta source 14
PharmaSUG 2018 An Introduction to the Analysis of Rare Events Nathaniel Derby source 19
PharmaSUG 2018 Programming Support for Anti-Drug Antibody Pharmacokinetics in Therapeutic Protein Drug Development Linghui Zhang,
Jiannan Kang		 source 11
PharmaSUG 2018 Using JMP Scripting Language (JSL) to create an application interface for automated analysis of Lab Data in Clinical Trial Dongsun Cao source 11
SGF 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 15
SGF 2018 Using Cluster Analysis to Maximize Workplace Design Effectiveness Renae Rich source 10
SESUG 2017 Clinical Data Visualization using TIBCO Spotfire and SAS Ajay Gupta source 12
SESUG 2017 Using SAS to Employ Propensity Score Matching in an Institutional Research Office to Create Matched Groups for Outcomes Analyses Bobbie E. Frye,
James E. Bartlett		 source 19
PHUSE EU 2017 The Art of Data Visualization: DetectingMultivariate Data Outliers Using an Interactive Approach Diane Peers source
presentation source		 9
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
WUSS 2017 Pattern of Adverse Events: The Use of Box Plot Jui-Fu Huang source 5
PharmaSUG 2017 Clinical Data Visualization using TIBCO Spotfire and SAS Ajay Gupta source 12
PharmaSUG 2017 Make it personal: Upgrade your figures by adding individual patient data to the common figure types Yuliia Bahatska,
Christiane Ahlers		 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 Hands-on Graph Template Language (GTL): Part B Kriss Harris source
zip		 15
SESUG 2016 Introduction to ODS Statistical Graphics Kirk Paul Lafler source 13
PHUSE EU 2016 Proposal of a General Macro Framework for Propensity-score Matching [presentation] Holger Langkabel source 23
PharmaSUG CN 2016 Clip Extreme Values for a More Readable Box Plot Mary Rose Sibayan,
Thea Arianna Valerio		 7
PharmaSUG 2016 Adding Statistics and Text to the Panel Graphs using INSET option in PROC SGPANEL Ajay Gupta source 6
PharmaSUG 2016 Clinical Graphs Using SAS Sanjay N. Matange source 19
PharmaSUG 2016 Data Visualization for Quality Control in NONMEM Data set Linghui Zhang source 9
PharmaSUG 2016 Elevate your Graphics Game: Violin Plots Spencer Childress source 9
PharmaSUG 2016 What makes a "Statistical Programmer" different from a "Programmer" Arun Raj Vidhyadharan,
Sunil Mohan Jairath		 source 12
SGF 2016 Clinical Graphs Using SAS Sanjay N. Matange source
zip		 20
SGF 2016 Graph a Million with the SGPLOT Procedure Prashant Hebbar,
Lingxiao Li,
Sanjay N. Matange		 source
zip		 9
SGF 2016 Hands-On GTL Kriss Harris source 19
SGF 2016 Taming the Rule Charlotte Crain,
Chris Upton		 source 13
SGF 2016 Using SAS Studio Tasks to Plot with ODS Graphics Philip R. Holland source 12
MWSUG 2015 Let SAS Cleanse Your Dirty Data Kaushal Chaudhary,
Deanna Naomi Schreiber-Gregory		 13
PHUSE EU 2015 Efficient Data Reviews and Quality in Clinical Trials Using CDISC Data Standards Valérie Nedbal source 11
SESUG 2015 Predictive Modeling Using SAS Visual Statistics: Beyond the Prediction Xiangiang Meng,
Wayne Thompson,
Jennifer Ames		 source 12
WUSS 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
WUSS 2015 Exposure-Response Plots Using SAS Janette Garner source 8
PharmaSUG 2015 Automating biomarker research visualization process Xiaohui Huang,
Jigar Patel		 source 6
PharmaSUG 2015 Creating Sophisticated Graphics using Graph Template Language Kaitlyn McConville,
Kristen Much		 source 11
PharmaSUG 2015 Picture this: Hands-on SAS Graphics Session Kriss Harris source 14
PharmaSUG 2015 Using the power of new SGPLOT features in SAS 9.4 - Customized graphic programming made easier for clinical efficacy and exposure-response analyses Peter Lu,
Xingji Han,
Hong Yan		 source 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 Educating Future Business Leaders in the Era of Big Data Tonya E. Balan source 8
SGF 2015 Getting Your Hands on Reproducible Graphs Rebecca Ottesen,
Leanne Goldstein		 source 19
SGF 2015 Graphs Are Easy with SAS 9.4 Sanjay N. Matange source
zip		 15
SGF 2015 Killing Them with Kindness: Policies Not Based on Data Might Do More Harm Than Good Tuesdi Helbig,
Matthew Foraker		 source 22
SGF 2015 Methodology of Model Creation Peter Kertys source 11
SGF 2015 Nesting Multiple Box Plots and BLOCKPLOTs Using Graph Template Language and Lattice Overlay Greg Stanek source 17
SGF 2015 Predictive Modeling Using SAS Visual Statistics: Beyond the Prediction Xiangxiang Meng,
Jennifer Ames,
Wayne Thompson		 source 12
SGF 2015 SAS for Six Sigma - An Introduction Daniel R. Bretheim source 32
PHUSE EU 2014 R for SAS Programmers: It's Different, but Friendly Friedrich Schuster source
presentation source		 10
MWSUG 2014 Case Study: Generating Clinical Trial Summary Plots from an ORACLE database using the SAS Macro Language Shannon L. Morrison 8
MWSUG 2014 Up Your Game with Graph Template Language Layouts Sanjay N. Matange 20
MWSUG 2014 Visualization of Self-Reported Alcohol Use Data: A Timeline Followback Dashboard using Heatmaps, Time Series Plots, and HTML Hover-Text Daniel Fuhrmann,
Michael Fendrich,
Lisa Berger		 11
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
PharmaSUG 2014 Risk-Based Monitoring of Clinical Trials Using JMP Clinical Richard C. Zink,
Kelci J. Miclaus		 source 15
PharmaSUG 2014 Up Your Game with Graph Template Language Layouts Sanjay N. Matange source 20
SGF 2014 Application of Survey Sampling for Quality Control Yi Du source 8
SGF 2014 CMS Core Measures, the Affordable Care Act, and SAS Visual Analytics Joe Whitehurst,
Diane Hatcher		 source 16
SGF 2014 Risk-Based Monitoring of Clinical Trials Using JMP Clinical Richard C. Zink source 14
SGF 2014 Scatterplots: Basics, Enhancements, Problems, and Solutions Peter L. Flom source 13
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 Simulation in SAS with Comparisons to R Chelsea Lofland,
Rebecca Ottesen		 source 25
SESUG 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
PHUSE EU 2013 Statistics: The Fourth Dimension of a "Statistical Programmer" Gauri Khatu,
Vibhavari Inamadar		 source 12
MWSUG 2013 Data Presentation 101: An Analyst's Perspective Deanna Chyn,
Anca M Tilea		 8
MWSUG 2013 The Graph Template Language: Beyond the SAS/GRAPH Procedures Jesse M. Pratt 10
MWSUG 2013 Using SAS ODS Graphics Chuck Kincaid 18
NESUG 2013 Enriched Benefits for Better Graphs from Combining GTL Template and ODS Style Yu Yang,
John He		 14
NESUG 2013 Graphically Speaking Blog and the Interactive ODS Graphics Designer Application Sanjay N. Matange 14
PharmaSUG 2013 Creating High Quality Statistical Graphs for Publications Kriss Harris source 8
PharmaSUG 2013 Dances with Box Plot Xuefeng Yu source 9
SGF 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SGF 2013 Missing No More: Using the MCMC Procedure to Model Missing Data Fang K. Chen source 23
SGF 2013 SAS ODS Graphics Designer - The Next Step in Amazing Data Visualization Christopher Battiston source
pdf		 18
SGF 2013 The Forest and the Trees: See It All with SAS Visual Analytics Explorer Nascif Abousalh-Neto source 14
NESUG 2012 Off the Beaten Path: Create Unusual Graphs with ODS Graphics Prashant Hebbar 26
NESUG 2012 SAS for Six Sigma - An Introduction Daniel R. Bretheim 32
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 Nesting Multiple Box Plots and Blockplots using GTL and Lattice Overlay Greg Stanek source 13
SCSUG 2012 Overlaying Scatter Plots on Box Plots in the Presence of Ties Charles Minard source 11
PHUSE EU 2012 Grouped Jittered Boxplots in SAS 9.2 and SAS 9.3 Volker Harm,
Catalina Mejia Herrera		 source
presentation source		 12
SESUG 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 14
WUSS 2012 PROC BOXPLOT - Using the CLIP FACTOR option to produce more readable figures Heidi Nasizadeh Sangart,
Michelle Wang		 source 5
WUSS 2012 Quick Results with SAS ODS Graphics Designer Sanjay N. Matange source 14
WUSS 2012 Visualizing Data Techniques, Including Autocharting and Big Data Justin Choy source 12
PharmaSUG 2012 Graphical Outputs for Efficacy Analyses Using SAS/GRAPH SG Procedures David A Collins source 7
PharmaSUG 2012 Taming the Box Plot Sanjiv Ramalingam source 7
SGF 2012 At the Crossroads: How to Decide on Your Graphics Path Mike Kalt,
Cynthia L. Zender		 source 16
SGF 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 20
SGF 2012 Mix and Match: Diversity in Displaying Data Melissa Hill,
Julie Kezik		 source 12
SGF 2012 Off the Beaten Path: Create Unusual Graphs with GTL Prashant Hebbar source
zip		 26
SGF 2012 Quick Results with ODS Graphics Designer Sanjay N. Matange source 14
SGF 2012 The Graph Template Language: Beyond the SAS/GRAPH Procedures Jesse M. Pratt source 10
SGF 2012 Using SAS for the Design, Analysis, and Visualization of Complex Surveys Sharon Lohr source 15
SCSUG 2011 When It's Not Random Chance: Creating Propensity Scores Using SAS EG Josie Brunner source 13
SESUG 2011 Scatterplots: Basics, Enhancements, Problems, and Solutions Peter L. Flom source 12
WUSS 2011 An Introduction to the Analysis of Rare Events Nathaniel Derby source 19
WUSS 2011 Tips and Tricks for SG Procedures and GTL for Clinical Graphs Sanjay N. Matange source 16
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 Outlier resistance of multivariate bioequivalence procedures Srinand P. Nandakumar,
Joseph W. McKean		 13
NESUG 2011 Combining the Results from Multiple SAS PROCs into a Publication Quality Table Robert Kabacoff 20
NESUG 2011 Using the SG Procedures to create and enhance scatter plots Peter L. Flom 12
PharmaSUG 2011 A Modular Approach of Reporting Meta Analysis Statistics Using Forest Plots Vikash Jain source 8
PharmaSUG 2011 FAQ: Issues with Efficacy Analysis of Clinical Trial Data Using SAS Sandeep Sawant,
Nehan Mohan		 source 5
PharmaSUG 2011 Incorporating Graphics into Summary Report Tables using ODS and GTL Qinghua (Kathy) Chen source 10
PharmaSUG 2011 SAS/GRAPH Elements You Should Know - Even If You Don't Use SAS/GRAPH Arthur L. Carpenter source 15
PharmaSUG 2011 Tips and Tricks for Clinical Graphs using ODS Graphics Sanjay N. Matange source 16
SGF 2011 Tips and Tricks for Clinical Graphs using ODS Graphics Sanjay N. Matange source 16
NESUG 2010 A SAS Application to Identify and Evaluate Outliers Richard Hendra,
Paulette W. Staum		 16
NESUG 2010 Introduction to Statistical Graphics Procedures Selvaratnam Sridharma 20
WUSS 2010 Clinical Graphs using ODS Graphics Sanjay N. Matange source 25
WUSS 2010 SAS/GRAPH Elements You Should Know - Even If You Don't Use SAS/GRAPH Arthur L. Carpenter source 15
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
PHUSE EU 2010 Interactive Clinical Data Review for Safety Assesment and Trial Operations Management Michael O'Connell source
presentation source		 13
PHUSE EU 2010 Statistical Graphics for Review and Reporting in Clinical Development Kerstin Pietzko,
Michael O'Connell		 source
poster source		 12
MWSUG 2010 SAS/GRAPH Elements You Should Know - Even If You Don't Use SAS/GRAPH Arthur L. Carpenter 15
SESUG 2010 %SBSBOXPLOT: A SAS Macro for Generating Side-by-Side Boxplots Jason A. Schoeneberger,
Grant B. Morgan,
Bethany A. Bell		 source 16
SESUG 2010 SAS/GRAPH Elements You Should Know - Even If You Don't Use SAS/GRAPH Arthur L. Carpenter source 15
SESUG 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
PharmaSUG 2010 The Graph Template Language and the Statistical Graphics Procedures: An Example-Driven Introduction Warren F 20
SGF 2010 A Picture Is Worth a Thousand Words: Integrated Visualization of Clinical Data Vikash Jain source 10
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 Graph Elements You Should Know (Even If You Don't Use SAS/GRAPH Software) Arthur L. Carpenter source 15
SGF 2010 The Graph Template Language and the Statistical Graphics Procedures: An Example-Driven Introduction Warren F. Kuhfeld 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 Export Customized Graphs Directly into Microsoft Word Using Dynamic Data Exchange Dennis J. Beal source 11
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 Zooming in on graphics Armin Gemperli source
presentation source		 7
MWSUG 2009 A Little Stats Won't Hurt You Nathaniel Derby 18
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 A Picture Is Worth a Thousand Words: Integrated Visualization of Clinical Data Vikash Jain 10
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
NESUG 2009 Taming the Box Plot Sanjiv Ramalingam 7
WUSS 2009 A Little Stats Won't Hurt You Nathaniel Derby source 18
WUSS 2009 Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling George C. J. Fernandez source 20
WUSS 2009 Introduction to the Graph Template Language Sanjay N. Matange source 18
WUSS 2009 Modeling Spatial and Temporal Variations of Arsenic in Surface Water Anpalaki J. Ragavan source 10
WUSS 2009 ODS Graphics Designer: Your Tool of Choice for Interactive, Batchable Graphics Sanjay N. Matange source 24
PharmaSUG 2009 A Little Stats Won't Hurt You Nathaniel Derby 18
PharmaSUG 2009 Arrow Statistical Graphic System Cheng Jun Tian,
Qin Li,
Jiangfan Li		 15
PharmaSUG 2009 Customizing Your Own Box Plot Wenjie Wang,
Jade Huang		 7
PharmaSUG 2009 Producing Simple and Quick Graphs With PROC GPLOT Sheng Zhang,
Xingshu Zhu,
Shuping Zhang,
Weifeng Xu,
Jane X. Liao,
Amy Gillespie		 6
SGF 2009 A Little Stats Won't Hurt You Nathaniel Derby source 17
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 Using SAS to Explore the Impact of a Care Management Maternity Program Barbara B. Okerson source 9
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 Generating Fantastic Graphs in 10 Seconds or Less Ben Cochran source 7
PHUSE EU 2008 An Introduction to ODS Statistical Graphics Ian Sedgwick source 15
PHUSE EU 2008 Drug Safety Reporting - now and then David J. Garbutt source 23
MWSUG 2008 Classification of Breast Cancer Cells Using JMP Marie Gaudard 34
PNWSUG 2008 Effective Graphics Made Simple Using SAS/GRAPH SG Procedures Dan Heath 18
NESUG 2008 Box Plots in SAS: UNIVARIATE, BOXPLOT, or GPLOT? Robert Adams 11
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 Effective Graphics Made Simple Using SAS/GRAPH SG Procedures Dan Heath 18
SGF 2008 Data Mining Application of Non-Linear Mixed Modeling in Water Quality Analysis Anpalaki J. Ragavan source 14
SGF 2008 Effective Graphics Made Simple Using SAS/GRAPH SG Procedures Dan Heath source 18
SESUG 2007 A METHODOLOGICAL APPROACH TO PERFORMING CLUSTER ANALYSIS WITH SAS William F. McCarthy source 13
WUSS 2007 New SAS/GRAPH Procedures for Creating Statistical Graphics Cleester D. Heath source 16
SGF 2007 Gaining Power from GTL and ODS Style to Control Graphical Output Lea Guo,
Nan McCarthy,
William F. Liu		 source 9
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 ODS Statistical Graphics for Clinical Research Wei Cheng source 20
SGF 2007 Split and Conquer! Using SAS/QC to Design Quality into Complex Manufacturing Processes Jose G. Tobias,
Randall D. Ramirez		 source 25
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
MWSUG 2006 Time to Failure in UPS Data Collector and UPS Thermal Printer Rebecca E Dennison 10
PHUSE EU 2006 Statistical Graphics and Reporting in Drug Development Michael O'Connell,
Sven Knudsen		 source 13
SESUG 2006 DP06 SAS Graph: Introduction to the World of Boxplots Brian Spruell source 18
SESUG 2006 Generating Fantastic Graphs the Quick and Easy Way with Enterprise Guide Ben Cochran source 5
SESUG 2006 Graphics for Statistical Concepts and Data Display David A. Dickey source 19
WUSS 2006 Creating Statistical Graphics in SAS 9.2: What Every Statistical User Should Know Robert N. Rodriguez,
Tonya E. Balan		 source 32
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 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 32
PharmaSUG 2006 Creating Statistical Graphics in SAS 9.2: What Every Statistical User Should Know Robert N. Rodriguez 32
SUGI 2006 A Programmer's Introduction to the Graph Template Language Jeff Cartier source 14
SUGI 2006 Creating Statistical Graphics in SAS 9.2: What Every Statistical User Should Know Robert N. Rodriguez,
Tonya E. Balan		 source 32
SUGI 2006 ODS Statistical Graphics for Clinical Research Wei Cheng source 10
SUGI 2006 Problems Commonly Associated with Forest Plots Addressed Using High Resolution Graphics in SAS Gary A. Foster,
Charles H. Goldsmith		 source 8
SUGI 2006 SAS/OR - Making Sense of Network Data with Network Visualization Workshop Edward P. Hughes,
Phil Meanor		 source 20
SUGI 2006 Using SAS for Statistical Modeling of Nutrient Removal and Water Quality Aspects from Constructed Wetlands Rupali Mohansingh,
George C. J. Fernandez,
Keith E. Dennett		 source 11
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
MWSUG 2005 Time Dependent Data Exploration And Preprocessing: Doing It All By SAS Joseph Twagilimana 10
WUSS 2005 ODS Statistical Graphics for Clinical Research Wei Cheng source 20
PharmaSUG 2005 An Introduction to ODS for Statistical Graphics in SAS 9.1 Robert N. Rodriguez 27
PharmaSUG 2005 Extending the SAS Environment with Trellis Graphics Chris Thornton 7
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
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 Extending ODS Output by Incorporating Trellis Graphics from S-PLUS Robert Treder,
Jagrata Minardi		 12
PharmaSUG 2004 Simultaneous Nonparametric Inference in a One-Way Layout Using the SAS System Paul Juneau 17
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 Using SAS for Classical Item Analysis and Option Analysis Chong Ho Yu,
Josephine Wai-chi Wong		 source 6
VIEWS 2003 Box-and-Whisker Plots with The SAS System David Shannon presentation 9
SUGI 2003 A Drill-Down Diet: An Example of a Dynamic Detail Access on the Web Using SAS/GRAPH and ODS Nadia Redmond source 4
SUGI 2003 Don't Dither About Your Data, Let SAS/GRAPH Trending Box Plots Drive Decision Making Charlotte F. Carroll source 3
SUGI 2003 PROC FORMAT Supports PROC BOXPLOT to Handle Twofold Grouped Data Barbara G. Schneider,
Kristan A. Schneider		 source 4
SCSUG 2002 Multi-Level Web-Based Analysis System for Semiconductor Parametric Data Tom Winter,
Willy Waks		 6
SESUG 2002 Focusing Healthcare Quality Improvement Dollars: Using SAS' for Geographic Targeting Barbara B. Okerson,
Charlotte F. Carroll		 source 7
WUSS 2002 Multi-level Web-based Reporting System for Semiconductor Parametric Data Tom Winter,
Willy Waks		 source 6
SUGI 2002 Data Cleaning 101 Ronald P. Cody source 10
NESUG 2001 Using Surveys to Understand the Present and Predict the Future Aliza Heching,
Ying Tat Leung		 6
VIEWS 2001 The Version 8 Applied Statistician David Shannon 15
SESUG 2001 The Role of SAS/IntrNet in a Web-Enabled Database System John R. Copeland,
David W. King		 source 6
SCSUG 2001 The Role of SAS/IntrNet in a Web-Enabled Database System John R. Copeland,
David W. King,
Paul C. Gangarosa		 6
SUGI 2001 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2001 Data Visualization of Outliers from a Health Research Perspective Using SAS/GRAPH and the Annotate Facility Nadia Redmond source 5
SUGI 2001 The ABCs of ADX: A Solution for Design and Analysis of Experiments Brenda S. Ramirez,
Jose G. Ramirez		 source
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 Detecting Curvillnear Relationships in PROC REG Mel Widawski source 9
SUGI 2000 Detecting Curvilinear Relationships in PROC REG Mel Widawski source 9
SUGI 2000 Publishing Statistical Analyses on the Web Using Version 7 of the SAS System David J. Meade,
Scott Lacey		 source 6
SUGI 2000 Version 8 Base SAS Performance: How Does It Stack Up? Robert S. Ray source 7
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
NESUG 1999 Data Cleaning 101 Ronald P. Cody 10
NESUG 1999 Effective Methods for Graphical Analysis of Quantitative and Categorical Survey Variables Donald T. Gantz 10
NESUG 1999 Exploratory Data Analysis: Getting to Know Your Data Michael A. Walega 8
NESUG 1999 How New Graphical EDA Techniques Can Reveal Hidden Relationships Between the Criminal Behavior of Federal Prisoners and Their Thinking Patterns David DesJardins 8
SUGI 1999 Exploring Enzyme-Linked Immunosorbent Assay (ELISA) Data with the SAS Analyst Application Stewart L. Fossceco,
Nathan A. Curtis		 source 9
SUGI 1999 How New Graphical EDA Techniques Can Reveal Hidden Relationships Between the Criminal Behavior of Federal Prisoners and Their Thinking Patterns Dave L. DesJardins,
Denise Golumbaski		 source 6
SUGI 1999 Robust Outlier Identification using SAS Jack N. Shoemaker source 8
SUGI 1999 Using SAS/INSIGHT Software as an Exploratory Data Mining Platform Robin Way source 6
NESUG 1998 Using SAS/IML to Calculate L-Moments for the Univariate Distribution Shape Parameters Skewness and Kurtosis Michael A. Walega 8
PharmaSUG 1998 A Business Case for Using SAS/PH Templates as a Code Generator for Technical Report Table Writing Ben E. Bocchicchio,
C. A. Fortner-Burton,
W. W. Woods		 5
PharmaSUG 1998 Graphically Enhancing the Visual Presentation and Analysis of Univariate Data Using SAS Software James R. O'Hearn 5
NESUG 1997 Graphically Enhancing Univariate Descriptive Statistics James R. O'Hearn 3
MWSUG 1997 Summarize Your Data With SAS: PROC MEANS and PROC UNIVARIATE Nestor Rohowsky 9
SESUG 1997 Exploring Data With Base SAS Software Thomas J. Winn Jr. 7
SUGI 1997 An Experiment Analysis System for Fixed and Random Effects in OverDispersed Binomial Responses in Semiconductor Manufacturing Jose G. Ramirez,
Randall S. Collica		 source 6
SUGI 1997 Introduction to JMP under Windows: Hands-On Workshop Outline Jenny Aquino Kendall,
Al M. Best,
Charles E. Shipp		 source 6
SUGI 1997 Tracking Air Quality Trends with SAS/GRAPH David Mintz,
Terence Fitz-Simons,
Michelle Wayland		 source 6
WUSS 1996 Comparison of Different SAS Modules for Effective Data Analyses George C. J. Fernandez source 2
SEUGI 1996 Experimental analysis and SAS/EIS - reporting in semiconductor manufacturing Randall S. Collica source 29
MWSUG 1995 Hypothesis Testing & Confidence Interval Estimation via the Least Absolute Value (LAV) Approach Tom G. Filloon 6
SESUG 1995 Information Visualization David Mintz,
Terence Fitz-Simons,
Michelle Wayland		 6
SCSUG 1994 Comparing Patient Quality of Care Scoring Methods with SAS-Produced Paired Boxplots Joel A. Dubin,
Carol M. Ashton		 9
SCSUG 1994 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 6
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
SEUGI 1994 Une méthode de statistiques douces Le polissage d'un tableau croisé Michel Grun-Rehomme 10
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
SEUGI 1993 Exploratory Data Analysis Using SAS Software Gerhard Held source 11
SUGI 1993 Exploratory Data Analysis Using SAS Software Greg J. Weier,
Randall D. Tobias		 source 11
SCSUG 1992 Side-by-Side Dot Box Plots in SAS Alan Davis,
Mary M. Lane,
Andy Cucchiara,
Don Parker		 14
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 Using the SAS System to Enhance the Engine Development Process A. J. Payne,
Glen Gould		 source 6
SUGI 1992 Best Presentation of Data-Monochrome Richard L. Berg source 7
SUGI 1991 Box and Whiskers Revisited - Using SAS/GRAPH Software to Produce Box and Whiskers Plots Hedy Weissinger source 4
SUGI 1990 The SAS System for Statistical Graphics - A Preview Michael Friendly source 6
SUGI 1989 MICHELLE: Statistical Graphics Library Dorothy Hu Huang,
Malini Krishnan,
Grace Yeh		 source 6
SUGI 1987 Jittering and Other Graphics Macros for Exploratory Data Analysis Lawrence H. Muhlbaier source 4
SUGI 1987 Using SAS/GRAPH Software to Display Box-Whisker Plots Charles B. Scott source 6
SUGI 1986 Assessing Relationships Among Multivariate Data Points by Transforming Them into 2-D Curves Calvin D. Croy source 6
SUGI 1985 Box Plots and More Box Plots - A Generalized SAS Macro Donna L. Stock source 6
SUGI 1985 Box Plots using SAS/GRAPH Software Ann Olmsted source 7
SUGI 1985 Statistical Graphics Made Possible by the SAS/GRAPH ANNOTATE Facility under VMS Patricia M.D. Benoit source 7
SUGI 1982 Comparison of Procedures for Exploratory Data Analysis Randall S. Miller source 5
SUGI 1982 Graphic and Semi-graphic Displays in a Classroom Utilization Report: Rhetorical Considerations and Sample SAS Code John D. Smith source 6

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