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353 papers and 2 presentations; 288 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 The (ODS) Output of Your Desires: a Tool-kit for Creating Designer Reports and Data Sets Louise S. Hadden source 12
PharmaSUG 2026 Has your SAS being 'MEAN' to your data yet? Ruth Marisol Rivera Barragan,
Isaac Vazquez		 source 8
PharmaSUG 2026 The (ODS) Output of Your Desires: Creating Designer Reports and Data Sets Louise S. Hadden source 12
PHUSE APAC 2026 Advancing Clinical Trial Analysis with Trimmed Means: Estimands, Intercurrent Events, and Regulatory Alignment Prasanth Palanisamy source
presentation source		 9
MWSUG 2025 Dashboards Made Easy Using SAS Software Kirk Paul Lafler source 42
MWSUG 2025 The (ODS) Output of Your Desires: Creating Designer Reports and Data Sets Louise S. Hadden source 12
SESUG 2025 Dashboards Made Easy Using SAS Software Kirk Paul Lafler 42
SESUG 2025 Statistical Analysis in SAS: The Not-So-Scary Overview Danny R. Modlin 64
SESUG 2025 The (ODS) Output of Your Desires: Creating Designer Reports and Data Sets Louise S. Hadden 12
WUSS 2025 Data Validation Using SAS Procedures [presentation] Charu Shankar source 62
WUSS 2025 The (ODS) Output of Your Desires: Creating Designer Reports and Data Sets Louise S. Hadden source 12
PharmaSUG 2025 The (ODS) Output of Your Desires: Creating Designer Reports and Data Sets Louise S. Hadden source 12
MWSUG 2024 Dashboards Made Easy Using SAS Software Kirk Paul Lafler source 42
MWSUG 2024 Looking for the Missing(ness) Piece Louise S. Hadden source 14
SESUG 2024 Building Amazing Dashboards Using SAS Software Kirk Paul Lafler,
Joshua J. Cook		 source 42
WUSS 2024 It's All About the Base-Procedures Jane Eslinger source 20
PharmaSUG 2024 The Missing(ness) Piece: Building Comprehensive, Data Driven Missingness Reports and Codebooks Dynamically Louise S. Hadden source 15
WUSS 2023 Univariate Outlier Detection Using SAS Fan Yang source 12
WUSS 2022 Explore Your Data and Avoid Surprises Dan Konkler,
Gilbert Ramos		 source 16
WUSS 2022 Generating Simple Statistics with Base SAS Procedures Jane Eslinger source 9
PharmaSUG 2022 ODS Document & Item Stores: A New Beginning Bill Coar source 72
SESUG 2021 Converting Remeasurement Data into Percentile Ranks Based on Baseline Data Using PROC SQL: Patient Experience Measures for CMS Value-Based Purchasing Program Jenhao Jacob Cheng source 7
SESUG 2021 Moving beyond Frequency and Percentage to Chi Square, t-Tests, and Correlation Analysis Kelly D. Smith source 12
PharmaSUG 2021 Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity Deanna Naomi Schreiber-Gregory source 23
SGF 2020 Simulating Data for Complex Linear Models Phil Gibbs,
Kathleen Kiernan		 source 20
SESUG 2019 Probability Plots for Exploratory Data Analysis Dennis J. Beal,
Oak Ridge		 source 8
SESUG 2019 User-Defined Functions that Concatenate Statistics for Standard Reporting Martha Wetzel source 6
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
MWSUG 2019 Explore your data before you rush to analysis, you will thank me later: explorations in cross section data Steven C. Myers 28
WUSS 2019 Polynomial Regression for Modeling Curvilinear Data: A Biological Example Elisha Johnston source 20
PharmaSUG 2019 It's All About the Base-Procedures Jane Eslinger source 20
PharmaSUG 2019 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Karlen Bader		 source 23
SGF 2019 It's All About the Base-Procedures Jane Eslinger source 21
SGF 2019 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory source 23
SGF 2019 The Incredible, Accessible Report: Creating PDF Reports that Meet Compliance Standards in SAS 9.4M6 Greg Kraus source 20
PHUSE EU 2018 Big Datasets Seen as a Big Problem and How to Deal With Them Daniil Shliakhow source
presentation source		 5
SESUG 2018 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 23
MWSUG 2018 Bootstrap Linear Mixed-Effects Models using SAS Procedures Adams Kusi Appiah 17
MWSUG 2018 Confounded? This example shows how to use SAS chi-square tests, correlations and logistic regression to unconfound a result. Michael C. Grierson 13
MWSUG 2018 Data-Driven Data Analysis Jack N. Shoemaker 10
MWSUG 2018 Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Karlen Bader		 23
WUSS 2018 Data-Driven Data Analysis Jack N. Shoemaker source 10
WUSS 2018 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory source 23
PharmaSUG 2018 Using SAS GTL to Visualize Data When there is Too Much of It to Visualize Nathaniel Derby,
Perry Watts		 source 22
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
SCSUG 2017 Three Great Reasons to Use the SAS ODS Excel Destination Kirk Paul Lafler source 26
MWSUG 2017 Hands-on Introduction to SAS and the ODS Excel Destination Kirk Paul Lafler 26
SGF 2017 Analyzing Correlated Data in SAS Niloofar Ramezani source 13
SESUG 2016 How is Healthcare Cost Data Distributed? Using Proc Univariate to Draw Conclusions about Millions of Different Customers Aran Canes source 8
WUSS 2016 SAS Jeopardy Natasha Chapman 46
SGF 2016 Statistical Comparisons of Disease Prevalence Rates Using the Bootstrap Procedure Matthew Dutton,
Charlotte Baker		 source 6
MWSUG 2015 A Macro for Systematic Treatment of Special Values in Weight of Evidence Variable Transformation Chaoxian Cai 9
MWSUG 2015 Basic SAS PROCedures for Quick Results Kirk Paul Lafler 19
MWSUG 2015 Let SAS Cleanse Your Dirty Data Kaushal Chaudhary,
Deanna Naomi Schreiber-Gregory		 13
WUSS 2015 Basic SAS PROCedures for Quick Results Kirk Paul Lafler source 19
WUSS 2015 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
PharmaSUG 2015 SAS Programming Tips, Tricks and Techniques for Programmers Kirk Paul Lafler source 16
SGF 2015 Getting Your Hands on Reproducible Graphs Rebecca Ottesen,
Leanne Goldstein		 source 19
SCSUG 2014 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler 19
SCSUG 2014 Output Delivery System (ODS) Tips and Techniques Kirk Paul Lafler 15
PHUSE EU 2014 Cost-Effectiveness in Hospitals Using SAS Ilias Pyrnokokis source
presentation source		 8
MWSUG 2014 Basic SAS PROCedures for Quick Results Kirk Paul Lafler 18
WUSS 2014 Advanced Multiprocessing Techniques for Performance Improvement of SAS Processes Viraj R Kumbhakarna source 17
WUSS 2014 Different Ways of Calculating Percentiles Using SAS Arun Akkinapalli source 5
WUSS 2014 Getting Your Hands on Reproducible Graphics Rebecca Ottesen,
Leanne Goldstein		 source 17
SGF 2014 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler source 18
SGF 2014 Bayesian Framework in Early Phase Drug Development with SAS Examples Howard Liang source 4
SGF 2014 Customer Profiling for Marketing Strategies in a Healthcare Environment MaryAnne DePesquo source 7
SGF 2014 Graphs Useful for Variable Selection in Predictive Modeling Bob Moore source 9
SESUG 2013 Know Thy Data: Techniques for Data Exploration Andrew T. Kuligowski source 20
SESUG 2013 Parallel processing techniques for performance improvement for SAS processes: Part II Viraj R Kumbhakarna source 17
MWSUG 2013 Advanced Multithreading Techniques for Performance Improvement of SAS Processes Viraj R Kumbhakarna 17
MWSUG 2013 Know Thy Data: Techniques for Data Exploration Andrew T. Kuligowski,
Charu Shankar		 20
NESUG 2013 Community Research Fellows Training Program Evaluation: Using SAS to Analyze Pre- and Post-Test Data Sarah A. Lyons,
Melody S. Goodman		 6
PharmaSUG 2013 Dances with Box Plot Xuefeng Yu source 9
SGF 2013 Know Thy Data: Techniques for Data Exploration Andrew T. Kuligowski,
Charu Shankar		 source 19
SGF 2013 Renovating Your SAS 9.3 ODS Output: Tools for Everything from Minor Remodeling to Extreme Makeovers Bari Lawhorn source 20
NESUG 2012 Introducing the FMM Procedure for Finite Mixture Models Maura E. Stokes 22
NESUG 2012 Quick Results with Output Delivery System (ODS) Kirk Paul Lafler 14
SCSUG 2012 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler source 17
SCSUG 2012 Dirty Data? Clean it up with SAS. Gabriela Cantu source 11
SCSUG 2012 Output Delivery System (ODS) - Simply the Basics Kirk Paul Lafler source 14
SCSUG 2012 SAS Programming Tips, Tricks and Techniques Kirk Paul Lafler source 16
SESUG 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 14
SESUG 2012 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
MWSUG 2012 Are You Dense? Using Kernel Density Estimation (KDE) to Connect the Dots Amidst Uncertainty Stephen Crosbie,
David J. Corliss		 8
MWSUG 2012 Base-SAS PROCedures for Quick Results Kirk Paul Lafler 17
MWSUG 2012 Why and How To Use SAS Macro Language: Easy Ways To Get More Value and Power from Your SAS Software Tools LeRoy Bessler 24
WUSS 2012 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler source 17
WUSS 2012 SAS Programming Basics: Producing Results from Your Data Helen D. Carey source 16
PharmaSUG 2012 SAS Programming Tips, Tricks and Techniques Kirk Paul Lafler source 15
PharmaSUG 2012 The Greatest Hits: ODS Essentials Every User Should Know Cynthia L. Zender source 34
SGF 2012 An Automatic Approach to Creating a Data Dictionary in SharePoint Using SAS Kevin Chung source 17
SGF 2012 Assigning a User-Defined Macro to a Function Key Mary F. O. Rosenbloom,
Kirk Paul Lafler		 source 10
SGF 2012 Enhanced Data Analysis Using SAS ODS Graphics and Statistical Graphics Patricia A. Berglund source 20
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
SCSUG 2011 The Greatest Hits: ODS Essentials Every User Should Know Cynthia L. Zender source 34
SESUG 2011 Introduction to ODS Graphics for the Non-Statistician Mike Kalt,
Cynthia L. Zender		 source 28
SESUG 2011 Output Delivery System (ODS) - Simply the Basics Kirk Paul Lafler source 14
SESUG 2011 SAS Programming Tips and Techniques Kirk Paul Lafler source 15
WUSS 2011 Assigning a User-Defined Macro to a Function Key Mary F. O. Rosenbloom,
Edwards Lifesciences		 source 8
WUSS 2011 SAS Essentials III: Statistics for Hamsters AnnMaria De Mars source 18
WUSS 2011 Tips and Techniques for the SAS Programmer Helen D. Carey source 19
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 Data cleaning and spotting outliers with UNIVARIATE Michael Auld source
presentation source		 6
MWSUG 2011 Estimating Design Effects for Means, Proportions and Totals from Complex Sample Survey Data Using SAS Proc Surveymeans Trent D. Buskirk 13
MWSUG 2011 Quick Results with Output Delivery System (ODS) Kirk Paul Lafler 14
NESUG 2011 Replaying SAS Output with the Document Procedure Michael F. Tuchman 11
NESUG 2011 Techniques for Reading DB2 Data Steven H. Feder 15
NESUG 2011 The Greatest Hits: ODS Essentials Every User Should Know Cynthia L. Zender 34
PharmaSUG 2011 Effectiveness Of Disease Management Care In The Case Of Heart Failure Beatrice Ugiliweneza source 11
PharmaSUG 2011 FAQ: Issues with Efficacy Analysis of Clinical Trial Data Using SAS Sandeep Sawant,
Nehan Mohan		 source 5
SGF 2011 Introduction to ODS Graphics for the Non-Statistician Mike Kalt,
Cynthia L. Zender		 source 28
SGF 2011 Modeling Financial Risk Factor Correlation with the COPULA Procedure Jan Chvosta,
Donald Erdman,
Mark Little		 source 14
SGF 2011 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SGF 2011 Output Delivery System (ODS) - Simply the Basics Kirk Paul Lafler source 14
SGF 2011 Race/Ethnic Differences in Carotid Stiffness and Diameter Using PROC GLM Matthew S. Markert source 10
SGF 2011 The Greatest Hits: ODS Essentials Every User Should Know Cynthia L. Zender source
zip		 34
SGF 2011 Tips and Techniques for SAS Programmers Helen D. Carey,
Ginger Carey		 source 19
NESUG 2010 A SAS Application to Identify and Evaluate Outliers Richard Hendra,
Paulette W. Staum		 16
NESUG 2010 Using Google to Solve SAS Problems Michael Todd 13
NESUG 2010 Using PROC RANK and PROC UNIVARIATE to Rank or Decile Variables Jonas V. Bilenas 15
SCSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer source 24
SCSUG 2010 Exploring Output Delivery System (ODS) Programming Techniques Kirk Paul Lafler source 12
WUSS 2010 Base SAS Tips, Tricks and Techniques Kirk Paul Lafler source 15
WUSS 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
MWSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer,
Brent D. Westra		 24
MWSUG 2010 Exploring, Analyzing, and Summarizing Your Data: Choosing and Using the Right SAS Tool from a Rich Portfolio Douglas Thompson 25
MWSUG 2010 Output Delivery System (ODS) - Simply the Basics Kirk Paul Lafler 12
MWSUG 2010 Using HPMIXED and Other SAS Procedures to Efficiently Analyze Large Dimension Registry Data Matthew Fenchel,
Gary McPhail,
Rhonda D. VanDyke		 19
SESUG 2010 %RESTRUCT - SAS macro with Proc Univariate Milorad Stojanovic source 7
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 Statistical Analysis - The First Steps Jennifer L. Waller source 20
PharmaSUG 2010 Wonderful Unix SAS Scripts: SAS Quickies for Dummies Raoul A. Bernal 9
SGF 2010 A Grad Student 'How-To' Paper on Grant Preparation: Preliminary Data, Power Analysis, and Presentation Elisa L. Priest,
Derek Blankenship		 source 14
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
SESUG 2009 A Little Stats Won't Hurt You Nathaniel Derby source 18
SESUG 2009 A New Effect Modification P Value Test Demonstrated Manojkumar B Agravat source 14
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 Quartile Conundrum Patricia Guldin,
Liping Zhang		 source 5
MWSUG 2009 A Little Stats Won't Hurt You Nathaniel Derby 18
MWSUG 2009 Base SAS Tips, Tricks and Techniques Kirk Paul Lafler 14
MWSUG 2009 Handy Procedures to Expand Your Analytics Skill Set Mary F. MacDougall 9
PNWSUG 2009 A Little Stats Won't Hurt You Nathaniel Derby 18
PNWSUG 2009 Exploring Output Delivery System (ODS) Programming Techniques Kirk Paul Lafler 12
PNWSUG 2009 SAS Tips, Tricks and Techniques Kirk Paul Lafler 16
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 Health Status and Attitudes Towards Health in Medical Expenditure Panel Survey (MEPS) Sample Population Pramit A. Nadpara 7
NESUG 2009 Using PROC RANK and PROC UNIVARIATE to Rank or Decile Variables Jonas V. Bilenas 16
WUSS 2009 A Little Stats Won't Hurt You Nathaniel Derby source 18
WUSS 2009 DATA Step versus PROC SQL Programming Techniques Kirk Paul Lafler source 15
WUSS 2009 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
WUSS 2009 Efficient Statistical Programming? - These Small Steps Make the Difference Keiko I. Powers source 16
WUSS 2009 Exploring Output Delivery System (ODS) Programming Techniques Kirk Paul Lafler source 12
WUSS 2009 Have It Your Way: Rearrange and Replay Your Output with ODS DOCUMENT Cynthia L. Zender source 22
WUSS 2009 ODS Statistical Graphics 101 Wei Cheng source 34
WUSS 2009 Wonderful Unix SAS Scripts: SAS Quickies for Dummies Raoul A. Bernal source 9
PharmaSUG 2009 A Little Stats Won't Hurt You Nathaniel Derby 18
PharmaSUG 2009 Chic FREQ and UNIVARIATE Jasmin Fredette 14
PharmaSUG 2009 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell 18
PharmaSUG 2009 Image is Almost Everything: Displaying Statistics Via ODS R. Scott Leslie 8
SGF 2009 A Little Stats Won't Hurt You Nathaniel Derby source 17
SGF 2009 Image is Almost Everything: Displaying Statistics Via ODS R. Scott Leslie source 8
SGF 2009 Using SAS Software to Generate Textbook-Style Histograms Perry Watts source 18
WUSS 2008 A Hands-On Introduction to SAS Programming Casey Cantrell source 21
WUSS 2008 ODS Statistical Graphics 101 Wei Cheng source 34
WUSS 2008 SmryEachVar: A Data-Review Routine for All Data Sets in a Libref Ronald J. Fehd source 25
SESUG 2008 Health Status and Attitudes Towards Health in Medical Expenditure Panel Survey (MEPS) Sample Population Pramit Nadpara source 6
MWSUG 2008 SAS Tips, Tricks and Techniques Kirk Paul Lafler pdf 14
PNWSUG 2008 Analyzing Healthcare Costs with SAS: An Intern's Experience Ben Keefer 5
PNWSUG 2008 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler 16
NESUG 2008 Box Plots in SAS: UNIVARIATE, BOXPLOT, or GPLOT? Robert Adams 11
NESUG 2008 Quartile Conundrum Patricia Guldin,
Liping Zhang		 5
NESUG 2008 Using SAS Software to Generate Textbook-Style Histograms Perry Watts 18
PharmaSUG 2008 Innovative Techniques and Tools to Detect Data Quality Problems Hong Qi,
Allan Glaser		 8
PharmaSUG 2008 Labor-Saving SQL Constructs Brian P. Fairfield-Carter,
David W. Carr		 11
PharmaSUG 2008 ODS Statistical Graphics 101 Wei Cheng 34
PharmaSUG 2008 SmryEachVar: A Data-Review Routine for All Data Sets in a Libref Ronald J. Fehd 24
SGF 2008 Labor-Saving SQL Constructs Brian P. Fairfield-Carter,
David W. Carr		 source 10
SGF 2008 SmryEachVar: A Data-Review Routine for All Data Sets in a Libref Ronald J. Fehd source 24
NESUG 2007 Histogram of Numeric Data Distribution from the UNIVARIATE Procedure Chauthi Nguyen 7
SESUG 2007 A METHODOLOGICAL APPROACH TO PERFORMING CLUSTER ANALYSIS WITH SAS William F. McCarthy source 13
MWSUG 2007 Two Macros for Producing Graphs to Assess Agreement Between Two Variables David W. Meek 5
WUSS 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
WUSS 2007 SAS ODS Technology for Today's Decision Makers Sunil Kumar Gupta source 15
WUSS 2007 Time to Take the Wheel: A Hands-On Introduction to SAS Programming Casey Cantrell source 20
PHUSE EU 2007 Creating Bar charts using the proc gplot and annotate function Berber Snoeijer source 4
PNWSUG 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell 18
PNWSUG 2007 SAS Tips, Tricks and Techniques Kirk Paul Lafler 16
PharmaSUG 2007 A SAS Macro for Rapid Checking the Data Records Heng Zou 8
PharmaSUG 2007 Combining ODS Output Datasets to Increase Program Clarity and Reduce Macro Load Rod Norman 7
PharmaSUG 2007 Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops Ronald J. Fehd 10
PharmaSUG 2007 Saving QC Time for Production Tables Linfeng Xu,
Sunil Kumar Gupta		 10
SGF 2007 Beyond the Basics - Advanced OLAP Techniques Ben Zenick,
Ben S. Miles		 source 10
SGF 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
SGF 2007 Effect Modification Investigation Using SAS - A Model-Building Exercise Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson		 source 11
SGF 2007 Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops Ronald J. Fehd source 10
SGF 2007 Learning What You Didn't Know about Your Data Larry W. Douglass source 16
SGF 2007 Using SAS PROC NLMIXED for Robust Regression Steven A. Chen,
Lingyun Gilbert		 source 9
MWSUG 2006 Journeymen's Tools: Data Review Macro FreqAll: Using Proc SQL List Processing with Dictionary.Columns to Eliminate Macro Do Loops Ronald J. Fehd 12
SCSUG 2006 Flattening Dependent Tables from Relational Databases for Use in SAS Processing David Welch 34
SCSUG 2006 Output Delivery System Tips and Techniques Kirk Paul Lafler 12
PHUSE EU 2006 Adding (p-) Value to Tables -- a Programmer''s Perspective Kathryn Wright source 10
SESUG 2006 Effect Modification Investigation Using SAS - A Model Building Exercise Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson		 source 10
SESUG 2006 What's really in your data? A quick and easy utility to analyze any SAS dataset Michele Laughlin,
Thom Clay,
Jamila Ervin		 source 9
WUSS 2006 Easy Methods to Investigate Large Datasets Using ODS Graphics and New Features in SAS 9 Aimee Foreman,
Miriam G. Cisternas		 source 10
WUSS 2006 How to Analyze Terabytes of Data with a Word Mark Gustafson source 8
WUSS 2006 Output Delivery System Tips and Techniques Kirk Paul Lafler source 12
WUSS 2006 Time to Take the Wheel: A Hands-On Introduction to SAS Programming Casey Cantrell source 20
NESUG 2006 Statistical analysis of clustered data using SAS Gui-Shuang Ying,
Chengcheng Liu		 13
PharmaSUG 2006 A Comparison Between SQL and Data Step and Some SAS Procedures LaTonya Murphy 6
PharmaSUG 2006 Numeric Precision in SAS - an Example Varsha C. Shah 3
SUGI 2006 Beyond the Basics - Advanced OLAP Techniques Brian O. Miles,
Ben Zenick		 source 10
SUGI 2006 Processing Large Environmental Data Sets with SAS: Writing Robust and Dynamic SAS Macro Code Peter Mooney,
Conor McDonagh,
Adam C. Winstanley		 source 7
SCSUG 2005 MP CONNECT: Warp Engine for SAS (Multi-Processing in the Sun Solaris Environment) Pablo J. Nogueras 14
MWSUG 2005 Time Dependent Data Exploration And Preprocessing: Doing It All By SAS Joseph Twagilimana 10
NESUG 2005 %DIAGNOS: a Macro for a Quick Look Into the Inside of Your Data Set Yin You 3
PharmaSUG 2005 Analyzing and Displaying Study Data in Clinical Trials Made Easy Denise J. Smith 15
PharmaSUG 2005 Creating HTML Output with Output Delivery System Kirk Paul Lafler 6
PharmaSUG 2005 Using Procedure-Based ODS Data Components in Statistical Reporting Vincent J. Faber 10
SUGI 2005 Everybody Loves SAS! They Just Don't Know It Yet Denise A. Figliozzi,
David Steves		 source 4
SUGI 2005 Using Procedure-Based ODS Data Components in Statistical Reporting Vincent J. Faber source 10
NESUG 2004 A Fast, High-Precision Implementation of the Univariate One-Parameter Box-Cox Transformation Using the Golden Section Search in SAS/IML Charles D. Coleman 4
NESUG 2004 Perusing, Choosing, and Not Mis-using: Non-parametric vs Parametric tests in SAS Venita DePuy,
Paul Pappas		 5
SESUG 2004 An Overview of Non-parametric Tests in SAS: When, Why, and How Paul A. Pappas,
Venita DePuy		 source 5
WUSS 2004 Creating HTML Output with Output Delivery System Kirk Paul Lafler source 6
WUSS 2004 Quick Results with the Output Delivery System Sunil Kumar Gupta source 14
PharmaSUG 2004 "Haven't We Met Somewhere Before?" and Other Useful Lines (of code) to Get to Know Their Data (Version 2.0) David Rucker 10
PharmaSUG 2004 Frequency Generation Using Indicator Variable Jinshi Zhou 3
PharmaSUG 2004 Statistical Application of SAS in Method Comparison Analysis David Shen 13
SUGI 2004 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler source 17
SUGI 2004 DATA: "Getting to Know You; Getting to Know All About You" Larry W. Douglass,
Sue E. Douglass		 source 17
WUSS 2003 Answering Your Questions with Statistics Diana D. Suhr source 6
SCSUG 2003 Elementary Statistics Using Base SAS Deborah B. Buck 9
SESUG 2003 An Algorithm for Screening of Genes and Clusters from Microarray Experiments James E. Blum source 4
SESUG 2003 Developing a Marketing Geographic Segmentation System Using SAS Software Kellie M. Poulin,
Allison N. Freeman		 source 10
MWSUG 2003 Building Drill-Down SAS Applications Kirk Paul Lafler,
Charles E. Shipp		 4
MWSUG 2003 Output Delivery Goes Web Kirk Paul Lafler 7
NESUG 2003 A Step-By-Step Illustration of Building a Data Analysis Tool with Macros Diana Wobus,
John Charles Gober		 10
SUGI 2003 Developing a Marketing Geographic Segmentation System Using SAS Software Allison N. Shubert-Freeman,
Kellie M. Poulin,
Shawn C. Yoder,
Michael R. Morgan,
Jennifer K. Warner		 source 6
SCSUG 2002 Grading Efficiency Based On Gamma Distribution with SAS Procedures Dagan Zhang 8
SCSUG 2002 The Essential Meaning of PROC MEANS: A Beginner's Guide to Data Summarization and Analysis Using PROC MEANS Andrew H. Karp 10
NESUG 2002 Two Useful Macros to Nudge SAS to Serve You David Izrael,
Michael P. Battaglia		 6
SESUG 2002 Output Delivery System Tips Kirk Paul Lafler source 7
WUSS 2002 Output Delivery Goes Web Kirk Paul Lafler source 7
WUSS 2002 Quick Results with the Output Delivery System Sunil Kumar Gupta source 9
SUGI 2002 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2002 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell source 10
SUGI 2002 Output Delivery Goes Web Kirk Paul Lafler source 7
MWSUG 2001 Output Delivery Goes Web Kirk Paul Lafler 6
MWSUG 2001 Output Delivery Tips, Tricks, and Techniques Using SAS Output Delivery System Kirk Paul Lafler 7
MWSUG 2001 The Essential Meaning of PROC MEANS: A Beginner's Guide to Data Summarization Using the SAS System Andrew H. Karp 10
NESUG 2001 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell 10
VIEWS 2001 The Version 8 Applied Statistician David Shannon 15
WUSS 2001 Output Delivery Goes Web Kirk Paul Lafler source 5
SESUG 2001 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler source 10
SESUG 2001 ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System Lara K. Bryant,
Sally M. Muller,
Ray Pass		 source 10
SCSUG 2001 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler 10
SCSUG 2001 ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System Lara K. Bryant,
Sally M. Muller,
Ray Pass		 10
SEUGI 2001 Implentation of an outlier detection method for hihg throughput screening in drug discovery [presentation] Ronny Schrijvers,
Rudi Verbeeck		 source 23
SUGI 2001 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2001 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell source 10
SUGI 2001 ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System Lara K. Bryant,
Ray Pass,
Sally M. Muller		 source 10
SUGI 2001 Output Delivery Goes Web Kirk Paul Lafler source 5
SUGI 2001 Output Delivery Tips, Tricks, and Techniques Using SAS Output Delivery System (ODS) Kirk Paul Lafler source
SUGI 2001 The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data in SAS Andrew H. Karp source 10
SCSUG 2000 Data Cleaning 101 Ronald P. Cody 13
SCSUG 2000 General Guidelines for Creating Useful Static HTML Reports Rick Porter,
Jimmy A. DeFoor		 16
SCSUG 2000 PROC TRANSPOSE: Making Data Easier to Process Jimmy A. DeFoor 12
SESUG 2000 Exploratory Data Analysis using PROC UNIVARIATE Robert E. Maitland Jr. source 4
NESUG 2000 Avoiding Mayhem in the New Millennium: Working with Missing Data JoAnn R. Matthews 10
NESUG 2000 ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System Lara K. Bryant,
Sally M. Muller,
Ray Pass		 10
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
PharmaSUG 2000 Using SAS Macro to List the Frequencies and Statistics in a Summary Table Kinwah Fung,
Toronto Sunnybrook		 6
SUGI 2000 Avoiding Mayhem in the New Millennium: Working with Missing Data JoAnn R. Matthews source 10
SUGI 2000 Detecting Curvilinear Relationships in PROC REG Mel Widawski source 9
SUGI 2000 ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System Lara K. Bryant,
Sally M. Muller,
Ray Pass		 source 10
SUGI 2000 Using SAS Software for Exception Analysis of Sybase Performance Joseph M. Mirabal,
Zhengyu Wang		 source 6
SESUG 1999 Data Summarization Methods in Base SAS Procedures Lynne Bresler source 9
SESUG 1999 SAS Components To Help You Survive A Deserted Island Stephen M. Noga source 7
WUSS 1999 Are Histograms Giving You Fits? New SAS Software for Analyzing Distributions Nathan A. Curtis source 10
NESUG 1999 Creating Macro Variables via PROC SQL Michael S. Zdeb 2
NESUG 1999 Data Cleaning 101 Ronald P. Cody 10
NESUG 1999 Exploratory Data Analysis: Getting to Know Your Data Michael A. Walega 8
MWSUG 1999 Data Summarization Methods in Base SAS Procedures Lynne Bresler 9
SUGI 1999 Making the Output Delivery System (ODS) Work for You Bill Fehlner source 5
SUGI 1999 Robust Outlier Identification using SAS Jack N. Shoemaker source 8
SUGI 1999 Two Macros to Compute the Median for a List of Variables Fan Xu source 4
SUGI 1999 Using SAS Macro to Include Statistics Output in Clinical Trial Summary Table Amy C. Young,
Sharon X. Zhou		 source 5
NESUG 1998 Using SAS/IML to Calculate L-Moments for the Univariate Distribution Shape Parameters Skewness and Kurtosis Michael A. Walega 8
SESUG 1998 A Simplified Reporting Strategy: "Summary" Data Sets for Reporting on Data from Multiple Source Data Sets Steve Ross 6
PharmaSUG 1998 Programmers Can Check Data Too Diana L. Williams 4
SUGI 1998 PROC UNIVARIATE and PROC TABULATE - A Powerful Duo to Produce Descriptive Tables Including Non-parametric Estimates Barbara G. Schneider source 4
SUGI 1998 Using a SAS Macro to Create Unique Statistical Output Sean W. Mulvenon,
M. Austin		 source 6
NESUG 1997 Creating Column Delimited Files with Little or No Effort John Charles Gober 7
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 A Step-By-Step Illustration of Building a Data Analysis Tool with Macros Diana Zhang Wobus 7
SESUG 1997 Exploring Data With Base SAS Software Thomas J. Winn Jr. 7
SUGI 1997 A Step-By-Step Illustration of Building a Data Analysis Tool with Macros Diana Zhang Wobus,
John Charles Gober		 source 7
SUGI 1997 Some Tips and Examples for Using SAS PROC TABULATE Pei Lee Tien,
Tsung-Hua Lin,
Mike McGranaghan		 source
SESUG 1996 SAStistics 101 Robert E. Johnson 8
NESUG 1996 Box and Whisker Plots: Definitions and Interpretations Adeline J. Wilcox 9
NESUG 1996 Field Content Verification Using SQL Dictionary Tables Jack N. Shoemaker 5
NESUG 1996 Using the SAS System to Perform McNemar's Test and Calculate the Kappa Statistic for Matched Pairs of Data Lisa Suchower,
Margaret Copenhaver		 8
WUSS 1996 Can SAS Programs on PCs and Minis Finally Compete with Mainframe SAS Programs Robert O. Bernstein source 6
SEUGI 1996 Is this the right solution? An example of producing descriptive tables including non-parametric estimates Barbara G. Schneider source 6
SCSUG 1994 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 6
NESUG 1994 Graphical Techniques for Evaluating "Nonnormal" Data Melissa A. Durfee 9
SESUG 1994 Critical Steps to Meaningful Causal Data Analysis Deborah Wall 4
SEUGI 1994 Chaîne de traitements automatisés sur des fischiers de très grandes tailles - Application dans le domaine automobile Denoit Le Cann 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 SAS Macro Techniques Useful in Development of Flexible Applications Christian M. Forster source 7
NESUG 1993 An Overview of Methods Available For Obtaining Frequency Counts of Categorical Data Lawerence P. Specht 10
NESUG 1993 Use of PROC IML to Calculate L-Moments for the Univariate Distributional Shape Parameters Skewness and Kurtosis Michael A. Walega 8
SCSUG 1993 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 30
SUGI 1993 Getting to Know You, Getting to Know All About You: Simple Techniques for Forming a Relationship with Your Data Arthur L. Carpenter source 6
SUGI 1993 RNs, MDs and the SAS System: Describing Medical Professional Trends Using SAS Procedures Joseph E. Earley,
Joyce Bailey,
Archie J. Calise		 source 3
SESUG 1993 Programming for PROC TABULATE Daniel Morris 4
SESUG 1993 Using SAS Statistical Procedures in Medical Research Joe Cholewczynski 6
SCSUG 1992 Side-by-Side Dot Box Plots in SAS Alan Davis,
Mary M. Lane,
Andy Cucchiara,
Don Parker		 14
NESUG 1992 Getting to Know Your Data Using SAS Felicia Borglum 7
NESUG 1992 New Technology - Transforming a Mainframe System to the PC Using SAS/AF Software Beth A. Schlaline,
Henry F. DeLong Jr.,
Valerie J. Martin		 6
SUGI 1992 Checking Out-of-Range Data Aileen L. Yam source 4
SUGI 1992 Multitrait Scaling Program: MULTI Ron D. Hays,
Eric Yu I. Wang		 source 6
SUGI 1992 Using SAS Software to Evaluate the Power of Alternative Data Analytic Methods for Repeated Measures Designs Thomas C. Chenier source 6
SCSUG 1991 Evaluating Efficiency Techniques Used in the Processing of Large Data Files Alfred W. Ey 17
NESUG 1991 Tests for Normality and Other Goodness-of-Fit Tests Ralph D'Agostino Jr.,
Albert J. Belanger		 7
NESUG 1991 Using SAS Procedures as Data Checking Tools Paula B. Podolnick 5
SEUGI 1991 Future Directions of Statistical Software with the SAS System David M. DeLong source 20
SUGI 1991 Box and Whiskers Revisited - Using SAS/GRAPH Software to Produce Box and Whiskers Plots Hedy Weissinger source 4
NESUG 1990 Regression Analysis In The Real World Edith Flaster 7
NESUG 1990 Understanding PROC UNIVARIATE Statistics Wendell F. Refior 5
SUGI 1990 Mortar and Bricks: Using Basic SAS System Procedures to Manipulate Your Data Peter Kretzman source 8
SUGI 1990 The SAS System for PCs: Some Speed Surprises Richard H. Browne source 10
SUGI 1989 Using the TRANSPOSE Procedure to Effectively Present Survey Results Karen Montefiori,
Emily M. Passino		 source 6
SUGI 1988 Comparison of Quantile Estimation Methods in the UNIVARIATE Procedure Robert F. Carsel,
Rudolph S. Parrish		 source 6
SUGI 1988 Using the SAS System for Analysis of Dissertation Data Twila Faye Turpen source 6
SUGI 1987 Using SAS/GRAPH Software to Display Box-Whisker Plots Charles B. Scott source 6
SEUGI 1986 The SAS System as a Tool for the Financial Systems Auditor Jost Dorken source 20
SUGI 1986 Analyzing Survey Data in the Electric Utility Industry Using Several SAS Procedures Mary Lynn Spada source 4
SUGI 1986 Efficient Use of PROC SUMMARY Suzanne Clark,
Liz Konowal		 source 6
SUGI 1986 PROC COMPUTAB Macros for Survey Processing Applications Thomas E. Billings source 5
SUGI 1986 The SAS System as a Tool for the Financial Systems Auditor Ferrell Drewry source 20
SUGI 1986 Utilizing Macro XMEDAGE to Obtain an Interpolated Median Age Frances N. Bari source 6
SUGI 1985 Box Plots using SAS/GRAPH Software Ann Olmsted source 7
SUGI 1985 PROC TABULATE Applications Andrew A. Norton source 7
SUGI 1984 Format 1-2-3, A SAS Software to LOTUS 1-2-3 Interface Valerie Van Langen,
Dennis Van Langen		 source 6
SUGI 1984 On Generating Statistics, Formatting Results and Efficiency Ingrid A. Amara,
Gary G. Koch		 source 6
SUGI 1983 Data Reduction and Summarization Joshua Sharlin source 8
SUGI 1982 Comparison of Procedures for Exploratory Data Analysis Randall S. Miller source 5

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