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298 papers and 12 presentations; 272 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 A Flexible Metadata-Driven and Modular Approach to SDTM Automation [presentation] Ruili Shi,
Jiaying Zhang,
Charles Chen		 source 15
PharmaSUG CN 2026 From SAP to TFL: An AI-Assisted Workflow Framework for Automated Shells and TFLs Xiaoyu Ding,
Guoqing Zhao,
Huafeng Gao,
Zhiyuan Guo		 source 18
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 Automating Analysis Report Programming in SAS with VGSART: A Metadata-Driven Approach Swathi Nattam,
Piyush Makkapati		 source
presentation source		 12
PHUSE APAC 2026 Precision Timing - Implementing Epoch Calculations with R for Clinical Data Integrity Sheik Ibrahim,
Ram Mohan Konda		 source
presentation source		 6
PHUSE EU 2025 Multiple Imputations Overview of Missing Data Problem, Solution Methods and SAS Implementation Dmytro Kalinin source
presentation source		 13
PHUSE EU 2025 Robust Programming Strategies for Exposure to ADaM Datasets Susann Grill source
poster source		 13
SESUG 2025 Versatile Graphic Presentation of Immunogenicity Analysis Results in Vaccine Studies with a Macro that Creates Multiple Forest Plots in One Output Hong Wang 9
PharmaSUG 2025 AI-Assisted Transition: from SAS to RStudio for PK Summary Analysis Shiqi Lin source 9
PharmaSUG 2025 Automating SAS Program Header Updates with Macros Kexin Guan source 9
PharmaSUG 2025 What comes first, the chicken (ADSL) or the egg (ADNCA)? Modularize your covariate creation to support flexible analysis dataset implementation! David C. Izard source 6
PHUSE US 2025 Optimizing Development and Regulatory Submission of eSUB Package for Exposure-Response and PK/PD Analysis Saumilkumar Tripathi,
Ephicacy Lifescience		 source
presentation source		 10
PHUSE US 2025 The Future of Data Surveillance in Clinical Studies: A Comprehensive Approach to Data Monitoring Using an R Shiny Application for Study Health Jacky Jin,
Ruchitbhai Patel		 source
presentation source		 5
PHUSE EU 2024 A Tutorial for JFM Analysis in SAS for Modelling Recurrent Events and Death Edyta Winciorek source
presentation source		 9
PHUSE EU 2024 A way out of the PROC COMPARE labyrinth Judith Kanz source
poster source		 9
PHUSE EU 2024 Introduction to the ADNCA ADaM Charlotte Hampson,
Florence Horspole		 source
poster source		 4
SESUG 2024 Advanced DATA Step Look-Back and Look-Ahead Techniques Joshua M. Horstman source 5
SESUG 2024 Calculating the Comorbidity Index with user designed flexibility using SAS and R Geonhyeok Jeong,
Ting Shi		 source 16
SESUG 2024 This Works on So Many Levels: Building Summary Tables in SAS with Hash Programming David V. Cole source 15
WUSS 2024 A SAS Macro to Calculate Therapeutic Intensity Score Rachelle Juan source 9
WUSS 2024 Advanced DATA Step Look-Back and Look-Ahead Techniques Joshua M. Horstman source 5
WUSS 2024 Automation of Submission of Programs in Analysis Data Reviewer's Guide for FDA and PMDA Submissions Junying Zhang source 14
PharmaSUG CN 2024 Introduction of an R-Shiny Application for Adverse Event Data Verification Keting Lv source 18
PharmaSUG 2024 An Introduction to the SAS Transpose Procedure and its Options Timothy J. Harrington source 14
PharmaSUG 2024 Standardization of the Patient Narrative Using a Metadata-driven Approach Kuldeep Sen source 8
PHUSE US 2024 From stowaway to admiral, a R-iveting tale of a hierarchical composite endpoint's journey from idea to dataset Nicole Major,
Otto Magnusson		 source
presentation source		 16
PHUSE US 2024 Unveiling the Potential of ADNCA via the CDISC ADaM IG: Revolutionising Pharmacokinetic Non-Compartmental Analysis Input Data Standardisation Saumilkumar Tripathi source
presentation source		 10
PHUSE US 2024 Using R for QC of Tables Marcus Trincia source
poster source		 3
PHUSE EU 2023 The Hassle of Validating Global SAS Programs: Made Easy(ier) Michael Thomsen source
presentation source		 12
SESUG 2023 Generate and Customize eDISH Plot to Identify Hy's Law Cases in Simple Steps Jeetender Chauhan,
Sarad Nepal,
Madhusudhan Ginnaram		 source 10
SESUG 2023 So Close Yet How Far Away - Closest City Macro Brooke Ellen Delgoffe source 15
PharmaSUG 2023 A Macro to Identify Repeating SAS BY Variables in a MERGE Timothy J. Harrington source 9
PharmaSUG 2023 Admiralonco - The Cross-Company R Package for Oncology Admirers Neharika Sharma,
Matthew Marino		 source 25
PharmaSUG 2023 SAS Macro Design Considerations to Generate Subgroup Table and Forest Plot in Oncology Studies Yizhuo Zhong,
Christine S Teng		 source 10
PHUSE US 2023 Data Handling of CTCAE Toxicity Grade Made Easier - A Metadata-driven Approach by SAS Macro [presentation] Zhaoyu Xie,
Pragathi Mudundi		 source 18
PHUSE US 2023 Exploring the Possibility of Automating SDTM Domain Subject Visits (SV) Limna Salim source
presentation source		 8
PHUSE EU 2022 Automation of Standard ADaM Variables Through an R Package - GenAdam Mahesh Divakaran source
presentation source		 8
PHUSE EU 2022 CALL EXECUTE will figure it out: Data-driven Figure Programming Mitchikou Pearl Tseng source
presentation source		 6
PHUSE EU 2022 Shiny-tise Your PROC COMPAREs: An Interactive Shiny Application for Data Review and Comparisons [presentation] Paul Jenkins source
video		 34
SESUG 2022 Names From Template (NFT) Kannan Deivasigamani source 9
PharmaSUG 2022 Data Masking Sumit Pratap Pradhan,
Navneet Agnihotri,
Rachel Brown		 source 5
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 EU 2021 Easy Parallel Processing in SAS/BASE: A Case Study [presentation] Anna Socha,
Paul Wicks		 source
video		 17
PHUSE EU 2021 iListing - Get More Out of Listings [presentation] Katja Glass source
video		 37
SESUG 2021 Missing Value Imputation Ross Bettinger source 34
PHUSE US 2021 Generating .xpt files with SAS, R and Python [presentation] Todd Case source
video		 22
PHUSE US 2021 Template of Analysis Reviewer's Guide in Oncology [presentation] Hong Qi,
Mary N. Varughese		 source
video		 19
PharmaSUG 2021 A Macro for Point Estimate and Confidence Interval of the Survival Time Percentiles Hengwei Liu source 8
PharmaSUG 2021 Macro Development from Design to Implementation Applied to Occurrence Data Frequency Analysis Chengxin Li,
Michael Pannucci,
Toshio Kimura		 source 9
PHUSE EU 2020 Checking the Completeness of Validated SAS Programs in LSAF [presentation] Herman Ament,
Jean-Marc Ferran		 source
video		 17
PharmaSUG 2020 Implementing a LEAD Function for Observations in a SAS DATA Step Timothy J. Harrington source 12
PharmaSUG 2020 Sometimes SQL Really Is Better: A Beginner's Guide to SQL Coding for DATA Step Users Brett Jepson source 16
PHUSE EU 2019 Innovative SQLs Joseph Murphy source
presentation source		 8
SESUG 2019 Macros for Neural Network Modeling Ross Bettinger source 23
WUSS 2019 Decision Trees: a Gentle Introduction Richard D. Hector source 11
WUSS 2019 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 16
WUSS 2019 PROC DTREE VS PROC HPSPLIT YuTing Tian source 19
PharmaSUG 2019 Automating SAS Program Table of Contents for Your FDA Submission Package Lingjiao Qi,
Bharath Donthi		 source 14
PharmaSUG 2019 Six Useful Data Tool Macros Ting Sa source 24
PharmaSUG 2019 Sum Fun with Flags! Sum Any Flagged Occurrence Data with FLAGSUM and Report It with FLAGRPT or PROC REPORT. Brendan Bartley source 31
SGF 2019 Dynamic Call Center Simulation in SAS: Revamping the Business Resiliency Process at JPMorgan Chase Jay P. Carini,
Amy Pielow,
Joel C. Weaver		 source 16
SGF 2019 Sometimes SQL Really Is Better: A Beginner's Guide to SQL Coding for DATA Step Users Brett Jepson source 17
PHUSE US 2019 R Markdown for Reproducible Research Cole Arendt source
presentation source		 10
PHUSE US 2019 Using R to Query Datasets from a SAS Server and Generate Different Kinds of Graphs in a Clinical Study Jei Li source
poster source		 4
SCSUG 2018 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 16
PHUSE EU 2018 Adjusting for Daylight Saving Times [presentation] Guido Wendland source 22
SESUG 2018 Using PROC FORMAT to Automate Data correction process Dalvi Shreyas source 6
SESUG 2018 You're Doing It Wrong! Volume 001 Shane Rosanbalm source 4
MWSUG 2018 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman 16
MWSUG 2018 Seeing the Forest for the Trees: Part Deux of Defensive Coding by Example Donna E. Levy,
Nancy Brucken		 10
PharmaSUG 2018 A Macro to Create Program Inventory for Analysis Data Reviewer's Guide Xianhua Zeng source 6
PharmaSUG 2018 Automation of STDM dataset integration and ADaM dataset formation Rinki Jajoo,
William Wei		 source 11
PharmaSUG 2018 IF there is a better way than IF-THEN Bob Tian,
Anni Weng		 source 8
PharmaSUG 2018 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 16
PharmaSUG 2018 Seeing the Forest for the Trees: Part Deux of Defensive Coding by Example Donna E. Levy,
Nancy Brucken		 source 10
PharmaSUG 2018 Utilize Dummy Variables/Datasets in Graph Generation Amos Shu source 4
SGF 2018 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 16
SGF 2018 Mitigating the Effects of Class Imbalance Using SMOTE and Tomek Link Undersampling in SAS Kyle Biron source 20
SGF 2018 Seeing the Forest for the Trees: Part Deux of Defensive Coding by Example Nancy Brucken,
Donna E. Levy		 source 10
SGF 2018 Test-Driven Data Science: Writing Unit Tests for SASPy Python Data Processes Stephen Siegert source 16
SESUG 2017 A Macro for Generating the Adverse Events Summary for ClinicalTrials.gov Andrew Moseby,
Maya Barton		 source 7
SESUG 2017 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 14
PHUSE EU 2017 Comparing Six Techniques to do Data Driven Programming Joris Derks source
presentation source		 8
PHUSE EU 2017 Data Cleaning Technique for Business Analytics: What Stats Van Do for DM Adam Korczynski source
presentation source		 16
PHUSE EU 2017 GUI Method of Mapping SDTM from Raw Data Elisa Natale source
presentation source		 7
PHUSE EU 2017 Reducing Dataset Merges with Data Driven Formats Paul Grimsey source
presentation source		 8
MWSUG 2017 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman 14
WUSS 2017 Decision Trees: a Gentle Introduction Richard Hector source 11
WUSS 2017 Effectively Utilizing Loops and Arrays in the DATA Step Arthur X. Li source 17
WUSS 2017 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 14
PharmaSUG CN 2017 How to read RTF files into SAS dataset? Zhao Chunpeng 7
PharmaSUG 2017 Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Joshua M. Horstman source 10
PharmaSUG 2017 Power of Interleaving and RETAIN Combination in Data Manipulation Zongming Pan source 10
PharmaSUG 2017 The %NEWSURV Family of Macros: An Update on the Survival Plotting Macro %NEWSURV and an Introduction to Expansion Macros Jeffrey P. Meyers source 21
SGF 2017 SAS Hash Objects, Demystified Dari Mazloom source 11
SESUG 2016 Are You Sure That Is Correct?: An Overview Of Good Practices For Dataset And Output Validation Gregory Weller source 8
SESUG 2016 Breaking up (Axes) Isn't Hard to Do: An Updated Macro for Choosing Axis Breaks Axis Breaks,
Alexandra Buck		 source 7
SESUG 2016 Fuzzy Name-Matching Applications Fuzzy Name-Matching source 5
PHUSE EU 2016 Out-of-the-box %Define-XML - Just a Simple SAS Macro Katja Glass source
presentation source		 11
PHUSE EU 2016 Stylising your SAS graph - A Needs-based Approach Jérôme Lechere source
presentation source		 22
PHUSE EU 2016 Top 10 Uses of Macro %VARLIST - In Proc SQL, Data Step and Elsewhere Jean-Michel Bodart source
presentation source		 12
WUSS 2016 SDD project management tool, real-time and hassle free---- A one-stop shop for study validation and status tracking Chen Shi source 4
PharmaSUG 2016 Programming checks: Reviewing the overall quality of the deliverables without parallel programming Shailendra Phadke,
Veronika Csom		 source 8
PharmaSUG 2016 Quick and Efficient Way to Check the Transferred Data Divyaja Padamati source 6
PharmaSUG 2016 Remember to always check your simple SAS function code! Yingqiu Yvette Liu source 8
PharmaSUG 2016 Waterfall plot: two different approaches, one beautiful graph Ting Ma source 9
SGF 2016 Life in the Fast Lane: Optimization for Interactive and Batch Jobs Nikola Markovic,
Gregory S. Barnes Nelson		 source 17
PHUSE EU 2015 Enhance and Enrich your Plots Using Graph Template Language (GTL) Mathias Lebreton source
presentation source		 17
PHUSE EU 2015 Slim Down Your Data Mickael Borne source
presentation source		 10
WUSS 2015 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
WUSS 2015 The Data Set statement: What are my options? Mark Kirkham source 5
PharmaSUG CN 2015 Effectively Utilizing Loops and Arrays in the DATA Step Arthur X. Li 17
PharmaSUG CN 2015 Hands-On ADaM ADAE Development Sandra Minjoe 7
PharmaSUG 2015 A Macro to Easily Generate a Calendar Report Ting Sa source 7
PharmaSUG 2015 An Enhanced Forest Plot Macro Using SAS Janette Garner source 9
PharmaSUG 2015 The Implementation of Display Auto-Generation with Analysis Results Metadata Driven Method Chengxin Li source 11
SGF 2015 A Macro to Easily Generate a Calendar Report Ting Sa source 8
SESUG 2014 Creating a Hyperbolic Graph Using the SAS Annotate Facility Bill Bland,
Liza M. Thompson		 source 9
PHUSE EU 2014 Call Execute: Let Your Program Run Your Macro Artur Usov source
presentation source		 9
PHUSE EU 2014 NONMEM - A Programmers Point of View Raghu Kishor Koukuntla source
presentation source		 12
PHUSE EU 2014 Using SAS Arrays Ruurd Bennink source
presentation source		 7
WUSS 2014 Advanced Multiprocessing Techniques for Performance Improvement of SAS Processes Viraj R Kumbhakarna source 17
WUSS 2014 How can I simplify ETL when I only have Base SAS Steve Cavill source 15
PharmaSUG 2014 %IC_LOGISTIC: A SAS Macro to Produce Sorted Information Criteria (AIC/BIC) List for PROC LOGISTIC for Model Selection Qinlei Huang,
Liang Zhu		 source 12
PharmaSUG 2014 A SAS Macro to address PK timing variables issues Timothy J. Harrington source 14
PharmaSUG 2014 Clinical Trial Data Integration: The Strategy, Benefits, and Logistics of Integrating Across a Compound Natalie Reynolds,
Keith Hibbetts		 source 12
PharmaSUG 2014 Hands-On ADaM ADAE Development Sandra Minjoe,
Kimberly Minkalis		 source 7
PharmaSUG 2014 Macro Makes Final Documentation Quick and Easy Indrani Sarkar,
Jean Crain		 source 4
PharmaSUG 2014 QC made easy using macros Prashanthi Selvakumar source 7
SGF 2014 Effectively Utilizing Loops and Arrays in the DATA Step Arthur X. Li source 17
WUSS 2013 Graphical Representation of Patient Profile for Efficacy Analyses in Oncology William Wu,
Xiaoxian Dai,
Linda Gau		 source 7
WUSS 2013 How Best to Write a Loop in the DATA Step Arthur X. Li source 19
WUSS 2013 Need to Find a Date? William Coar source 8
WUSS 2013 The Essence of DATA Step Programming Arthur X. Li source 19
WUSS 2013 The Many Ways to Effectively Utilize Array Processing Arthur X. Li source 14
SESUG 2013 Parallel processing techniques for performance improvement for SAS processes: Part II Viraj R Kumbhakarna source 17
MWSUG 2013 A Better Way to Flip (Transpose) a SAS Data Set Arthur S. Tabachneck,
Xia Ke Shan,
Robert Virgile,
Joe Whitehurst		 22
MWSUG 2013 Advanced Multithreading Techniques for Performance Improvement of SAS Processes Viraj R Kumbhakarna 17
MWSUG 2013 Effectively Utilizing Loops and Arrays in the DATA Step Arthur X. Li 17
MWSUG 2013 The Essence of DATA Step Programming Arthur X. Li 19
PharmaSUG 2013 Effectively Utilizing Loops and Arrays in the DATA Step Arthur X. Li source 17
PharmaSUG 2013 Hands-On ADaM ADAE Development Sandra Minjoe source 7
PharmaSUG 2013 Managing Graphic Appearance for Grouped Data in ODS Graphics Yunzhi Ling,
Mei Wu		 source 14
PharmaSUG 2013 SQL Subqueries: Usage in Clinical Programming Sri Pavan Vemuri source 7
SGF 2013 30 in 20 Things You May Not Know about SAS Tim Berryhill source 8
SGF 2013 A Better Way to Flip (Transpose) a SAS Data Set Arthur S. Tabachneck,
Joe Whitehurst,
Robert Virgile,
Xia Ke Shan		 source 21
SGF 2013 A Metadata-Driven Programming Technique Using SAS Xiyun Wang source 14
SGF 2013 Linking Laboratory Data To Submission Documents Using SAS Technologies Dongmin Shen,
Miu Ling Lau		 source
pdf		 3
SGF 2013 Using the ADaM ADAE Structure for Non-AE Data Mario Widel,
Sandra Minjoe		 source 13
NESUG 2012 Using SAS SCL to Create Flexible Programs... A Super-Sized Macro Ellen Michaliszyn 16
SCSUG 2012 Keep it Organized: A Grad Student "How To" Paper Elisa L. Priest source 6
PHUSE EU 2012 Spotting DILI for FDA Submission Nicola Tambascia,
Sven Greiner		 source
presentation source		 7
SESUG 2012 A Winning Combination: Generation of Listing and Descriptive Statistics Table in One Report Chenille Lloyd source 7
SESUG 2012 Learning PROC SQL the DATA Step Way Meghal Parikh source 8
SESUG 2012 Multiple Imputation for Ordinal Variables: A Comparison of SUDAAN's PROC IMPUTE vs. PROC MI Multiple Imputation source 12
SESUG 2012 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
MWSUG 2012 Effectively Utilizing Loops and Arrays in the DATA Step Arthur X. Li 17
PharmaSUG 2012 Easy-to-use Macros to Create a Line Plot with Error Bars Including Functions of Automated Jittering and Adjusting Axis Ranges Andrew Miskell,
Peixin Sun,
Yufei Du		 source 41
PharmaSUG 2012 Efficiently Trim Character Variable Lengths to Fit Data, Reduce Dataset Size Wayne (Weizhen) Zhong source 7
PharmaSUG 2012 Macro to Combine Listing and Descriptive Statistics Table in One Report Chenille Lloyd source 7
PharmaSUG 2012 Pattern-Mixture Models as Linear Combinations of Least Squares Means from MMRM with Delta Method Variance Estimation Bohdana Ratitch,
Michael O'Kelly		 source 15
PharmaSUG 2012 Waterfall Charts in Oncology Trials - Ride the Wave Niraj J. Pandya source 8
SESUG 2011 Analyst Beware: Five Dangerous Data Step Coding Traps David H. Abbott source 9
SESUG 2011 The Last Line Brandon Barrett,
Human Genome		 source 5
WUSS 2011 Is the Legend in your SAS/Graph Output Still Telling the Right Story? Alice M. Cheng source 12
PHUSE EU 2011 A SAS macro to check SDTM domains against controlled terminology Guido Wendland source
presentation source		 10
NESUG 2011 Repeating Statistics Tables - Building A Macro that Dynamically Organizes and Formats Wayne (Weizhen) Zhong 6
NESUG 2011 Using SAS To Identify Cancer Treatment Patterns in Administrative Claims Data Laurie Hamilton 15
NESUG 2011 Waterfall Charts: Play the Mario with Your Data Niraj J. Pandya,
Sapan Raval		 7
NESUG 2011 What's on Your Menu? Sanjaya Kumar 9
PharmaSUG 2011 2 PROC TRANSPOSEs = 1 DATA Step DOW-Loop Nancy Brucken source 4
PharmaSUG 2011 A Modular Approach of Reporting Meta Analysis Statistics Using Forest Plots Vikash Jain source 8
PharmaSUG 2011 Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures Bohdana Ratitch,
Michael O'Kelly		 source 10
PharmaSUG 2011 The Many Ways to Effectively Utilize Array Processing Arthur X. Li source 14
SGF 2011 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SGF 2011 Present Graph Text-Based Components Using SAS 9.2 Graph Template Language (GTL) Zhuoye Xu source 19
SGF 2011 The Essence of DATA Step Programming Arthur X. Li source 19
SGF 2011 The Many Ways to Effectively Utilize Array Processing Arthur X. Li source 14
NESUG 2010 PROC SQL: Tips and Translations Gail Jorgensen,
Susan P. Marcella		 23
NESUG 2010 SAS Email Data Driven Application Wenjie Wang,
Jade Huang,
Simon Lin		 9
NESUG 2010 TRACKING DATASET DEPENDENCIES IN CLINICAL TRIALS REPORTING Binoy Varghese,
Satyanarayana Mogallapu		 10
NESUG 2010 Windows Application Using .NET and SAS to Produce Custom Rater Reliability Reports Sailesh Vezzu 14
SCSUG 2010 Demystifying the SAS Macro Facility - by Example Marje Fecht source 14
WUSS 2010 Get a Grip on Arrays in Just 50 Minutes! Arthur X. Li source 14
PHUSE EU 2010 A dynamic reporting system: Catering to the needs of many Pascal Hanssens source
presentation source		 9
PHUSE EU 2010 Development and implementation of a statistical programming environment in a biotechnology company Albert Chau,
David Shannon		 source
presentation source		 7
PHUSE EU 2010 Getting your data in good shape for Non Linear Mixed Effects Modeling Vincent Buchheit source
presentation source		 4
PHUSE EU 2010 Modeling and Simulation: challenges for the clinical programmer and for the group leader [presentation] Vincent Buchheit source 18
MWSUG 2010 Set, Match, Merge ... Don't You Love SAS Peter W. Eberhardt,
Ying Liu		 19
SESUG 2010 Set, Match, Merge ... Don't You Love SAS Peter W. Eberhardt,
Ying Liu		 source 19
PharmaSUG 2010 Need reporting deliverables the painless and easy way? A batch submit macro call, of course! Jim Cawley,
Jillian Prescod		 8
SGF 2010 Faster Results by Multi-threading DATA Steps Ian J. Ghent source 7
SGF 2010 Get the Scoop on the Loop: How Best to Write a Loop in the DATA Step Arthur X. Li source 19
SESUG 2009 A SAS Macro for Deming Regression Allison M. Deal,
Virginia W. Pate,
Soumaya El Rouby		 source 7
PHUSE EU 2009 Macro to manage the PCSA Claude Guyot source
presentation source		 3
PHUSE EU 2009 Safety analysis using Bayesian simulation methods in SAS 9.2 Armin Gemperli source 8
PHUSE EU 2009 The Perfect Match - an appreciation of the functionality of the dataset MERGE Diana Stuart source 5
NESUG 2009 PROC SQL Tips and Techniques Gail Jorgensen,
Susan P. Marcella		 23
WUSS 2009 The Fundamentals of Data Step Programming I: The Essence of Data Step Programming and By-Group Processing Arthur X. Li source 20
WUSS 2009 The Fundamentals of DATA Step Programming II: Looping Arthur X. Li source 13
PharmaSUG 2009 CHECK YOUR DATA MORE EFFICIENTLY Jian Hua (Daniel) Huang 12
PharmaSUG 2009 Sweet Smell of SucSAS - When Your DATA Step Does What is Intended!! Arthur X. Li 19
WUSS 2008 The Essence of DATA Step Programming Arthur X. Li source 19
SESUG 2008 Techniques for Developing Quality SAS Macros Ginger Redner,
Liping Zhang,
Carl Herremans		 source 11
PHUSE EU 2008 A Collection of SAS Macros to Calculate Odds Ratios using Spline Regression Martin Gregory source 9
PHUSE EU 2008 Run Forest ! Run ! Create a flexible Forest Plots with SAS Enterprise Guide. Emmanuel Bourmaud source 12
MWSUG 2008 One-Step Change from Baseline Calculations, and Other DOW-Loop Tricks Nancy Brucken 8
MWSUG 2008 Using Direct Standardization SAS Macro for a Valid Comparison in Observational Studies Daojun Mo,
Xia Li,
Alan Zimmermann		 11
NESUG 2008 Multiple Adverse Event Tables without Surgical Intervention Adel Fahmy,
Carol Matthews		 11
PharmaSUG 2008 Annotate facilitates data-driven graphs Meera G. Kumar,
Jeffrey Cortez		 5
PharmaSUG 2008 Create Flowcharts Using Annotate Facility Priya Lakshmi Saradha,
Gurubaran Veeravel		 6
PharmaSUG 2008 So Much Data, So Little Time: Splitting Datasets For More Efficient Run Times and Meeting FDA Submission Guidelines Anthony Harris,
Robby A. Diseker		 9
PharmaSUG 2008 When PROC APPEND May Make More Sense Than the DATA Step David W. Carr 6
SGF 2008 Creating Flowcharts Using the Annotate Facility Priya Lakshmi Saradha,
Gurubaran Veeravel		 source 6
SGF 2008 Headings and Super-Headings: Using ACROSS Variables in PROC REPORT Jillian E. Campell source 5
SGF 2008 Standard Management-Approved Report Templates: The SMART System Gary S. Stevens source 7
SGF 2008 When PROC APPEND May Make More Sense Than the DATA Step David W. Carr source 6
NESUG 2007 Create Flowcharts Using Annotate Facility Priya Lakshmi Saradha,
Gurubaran Veeravel		 6
NESUG 2007 Juxtaposition of Tables and Graphs Using SAS /GRAPH Procedures Suhas R. Sanjee,
Sheng Zhang		 7
NESUG 2007 Offset Techniques in Predictive Modeling for Insurance Matthew J. Flynn,
Jun Yan		 9
SESUG 2007 Set, Match, Merge ... Don't You Love SAS Peter W. Eberhardt,
Ying Liu		 source 19
WUSS 2007 Using Annotate to Create Flowcharts Priya Lakshmi Saradha,
Gurubaran Veeravel		 source 7
PHUSE EU 2007 A SAS Macro for breaking pages Michael Knoessl source 4
PHUSE EU 2007 Presentation of the demo of standardization of the ADS/SDS Claude Guyot source 5
PHUSE EU 2007 Standard Management Approved Report Templates Gary S. Stevens source 7
SCSUG 2007 Beginning Macro Design Issues Toby Dunn,
H. Ian Whitlock		 19
SCSUG 2007 Create Flowcharts Using Annotate Facility Priya Lakshmi Saradha,
Gurubaran Veeravel		 7
PharmaSUG 2007 2 PROC TRANSPOSEs = 1 DATA Step DOW-Loop Nancy Brucken 4
PharmaSUG 2007 CDISC Implementation Step by Step: A Real World Example Sy J. Truong 19
PharmaSUG 2007 Techniques for Developing Quality SAS Macros Ginger Redner,
Liping Zhang,
Carl Herremans		 10
SGF 2007 A Generic Method of Parallel Processing in Base SAS 8 and 9 Sassoon Kosian source 8
SCSUG 2006 Keep it Organized - SAS tips for a research project Elisa L. Priest 4
PHUSE EU 2006 SAS macro validation criteria Jim Groeneveld source 18
SESUG 2006 Demystifying the SAS Macro Facility - by Example Harry Droogendyk source 14
SESUG 2006 SAS Programs to Select Controls for Matched Case-Control Studies Robert S. Matthews,
Ilene K. Brill		 source 9
WUSS 2006 Dynamic Code Creation Using Call Symput and the SAS Macro Language Mark Gustafson source 4
NESUG 2006 Beginning Macro Design Issues Toby Dunn,
H. Ian Whitlock		 19
PharmaSUG 2006 CDISC Implementation, Real World Applications Sy J. Truong 26
PharmaSUG 2006 Large Scale Standard Macros - A Methodical Approach to Development and Implementation Jeremy Gratt,
John H. Adams		 18
PharmaSUG 2006 Mapping Clinical Data to a Standard Structure: A Table Driven Approach Nancy Brucken,
Paul K. Slagle		 7
PharmaSUG 2006 PROC FORMAT is Our Friend Erin M. Christen 20
SUGI 2006 AMMI Macros for Multiplicative Interaction Models Eun-Joo Lee,
Dallas E. Johnson		 source 10
SUGI 2006 Demystifying the SAS Macro Facility - by Example Harry Droogendyk,
Marje Fecht		 source 15
SUGI 2006 Moving SAS Solutions to a Production IT Environment Mike Miller,
David Simpson		 source 10
PHUSE EU 2005 Implementing Shared Column Variables Shan Lee source 8
NESUG 2005 Creating A User Interface Using the SAS Macro Window George P. Sharrard 13
NESUG 2005 Large Scale Standard Macros - A Methodical Approach to Development and Implementation Jeremy Gratt,
John H. Adams		 18
PharmaSUG 2005 Analyzing and Displaying Study Data in Clinical Trials Made Easy Denise J. Smith 15
PharmaSUG 2005 Preventing Data Loss when Combining SAS Datasets John Cantrell 9
PharmaSUG 2005 SAS Efficient & Effective Utilization Karthikeyan Chidambaram 5
PharmaSUG 2005 SAS_TRAN: A SAS Macro for Generating SAS Transport Files Taghi R. Garacani 12
SUGI 2005 A SAS Macro for Visually Displaying Correlations between Brain Regions Using fMRI Data Warren B. Bilker,
Colleen M. Brensinger,
Ruben C. Gur,
Maximilian Herlim		 source 6
SUGI 2005 ASP.NET and SAS?A New Model for Developing Web-based SAS System Applications Graham G. Murray source 8
SUGI 2005 Rule Your Data with The Link King (a SAS/AF application for record linkage and unduplication) Kevin M. Campbell source 9
SUGI 2005 SAS Programs to Select Controls for Matched Case-Control Studies Robert S. Matthews,
Ilene K. Brill		 source 9
NESUG 2004 How Smooth Is (PROC) SYLK' Howard L. Schreier 23
SESUG 2004 SAS Programs to Select Controls for Matched Case-Control Studies Robert S. Matthews,
Ilene K. Brill		 source 9
WUSS 2004 Creating Custom Tables Using SAS Tyler Cole source 11
WUSS 2004 SAS Efficient & Effective Utilization Karthikeyan Chidambaram source 5
PNWSUG 2004 Dynamically Change Your Perspective with the Link King (and a Little SAS/AF) Kevin M. Campbell 9
WUSS 2003 A Better Transpose: %TRANSPO Macro Preserves Variable Attributes Ted Clay source 3
VIEWS 2003 ASP.Net and SAS - A new model for Developing Web-Based SAS Applications Graham Murray presentation 7
PharmaSUG 2003 SAS Macro to Create ADDL Records To Estimate Dosing Not Represented in the Collected Data, In a NONMEM Population Pharmacokinetic Analysis Dataset Richard Schneck,
Mike Heathman,
Lynn Reynolds		 6
PharmaSUG 2003 SQL for People Who Don't Think They Need SQL Erin M. Christen 8
PharmaSUG 2003 Using symbol plots to represent symptom severity over time Elisa Knutsen 4
SUGI 2003 P-Value Generation Simplified with a Single SAS Macro Christopher S. Hord,
Peter J. Anderson		 source 3
SCSUG 2002 Why Call Your Macros When SAS Can Do it for You Kenneth Bissett 4
NESUG 2002 Taking Big Bytes out of a Long Long Query Adel Fahmy 4
SESUG 2002 Using SAS to Estimate Variance by the Jackknife Method Thomas Mule source 6
SEUGI 2002 Integrating With .NET - Patterns for Leveraging SAS in Microsoft's Strategic Architecture [presentation] Daniel Jahn source 29
PharmaSUG 2002 %Addval: A SAS Macro Which Completes the Cartesian Product of Dataset Observations for All Values of a Selected Set of Variables Rich Schiefelbein 6
PharmaSUG 2002 Fast Two-Sample Permutation Tests, Even When One Sample is Large, that Efficiently Maximize Power Under Crude Monte Carlo Sampling John D. Opdyke 10
MWSUG 2001 Work Process from Data Management to Final Analysis File Creation (Scope: Adverse Events) Tony T. Salehi 4
SUGI 2001 A Practical Introduction to the Power of Enterprise Miner Michael S. Lajiness source 7
SUGI 2001 The Ultimate SAS Macro (Make SAS Do All the Work!) Mike D. Tangedal source 5
SUGI 2001 You Can Look It Up: A Robust Macro Using PROC FORMAT with CNTLIN Myra A. Oltsik source 4
PharmaSUG 2000 From Data to Study Report in One Step: A SAS Macro for the 2,2,2 Crossover Design Amy Morris,
Thomas E. Bradstreet		 5
SUGI 2000 Using Enterprise Miner to Explore and Exploit Drug Discovery Data Michael S. Lajiness source 8
NESUG 1999 SAS Macros for Grouping Count and Its Application to Enhance Your Reports Shi-Tao Yeh 5
SEUGI 1999 SAS Macros for Grouping Count and Its Application to Enhance Your Reports Shi-Tao Yeh source 5
NESUG 1998 Multivariate Discrimination of Categorical Data Using the SAS System Jeffrey S. Butler 8
PNWSUG 1998 Stepwise Anything: Reading in Regression Procedure Output for Further Testing Ted Clay,
Linda Remy		 10
SUGI 1998 A Macro to Generate All Combinations of n Items Taken k at a Time (How It Was Designed and Written, and How It Might Be Adapted to Other Uses: A Programming Example) Francis J. Kelley source 9
SUGI 1998 The SAS Multidimensional Database Procedure Timothy J. Harrington source 7
SESUG 1997 Using the Process Flow Diagram Object to Communicate Information Frank C. DiIorio 9
SESUG 1996 Software Validation and Testing Andrew T. Kuligowski 9
SEUGI 1996 TREEDISC - a method for identifying household segments Sten Sture source 11
SUGI 1996 Warehouse NOW! Blasting through to Legacy Data with (Almost) No Programming Jay A. Jaffe source
MWSUG 1995 A Couple of Unix Tips Patrick Coburn 3
MWSUG 1995 SQL Joins - The Long and The Short of It Paul Kent 10
SUGI 1995 SOL Joins - The Long and the Short of it Paul Kent source 10
NESUG 1994 SQL Joins - The Long and The Short of It Paul Kent 10
NESUG 1994 Validating Your SAS Program Jennifer Dougherty 4
SESUG 1994 rurORIALS Paul Kent 10
SUGI 1994 SAS Macro Techniques Useful in Development of Flexible Applications Christian M. Forster source 7
NESUG 1993 Fun with the SQL Procedure - An Advanced Tutorial Paul Kent,
Lewis Church Jr.		 6
NESUG 1993 Getting into First Gear with Extended Tables Karen Crandall 10
MWSUG 1993 Fun with the SQL Procedure - An Advanced Tutorial Lewis Church Jr.,
Paul Kent		 6
SEUGI 1993 A Generic Data Listing System Developed for Pharmaceutical Reporting Peter Fursdon source 11
SUGI 1992 Using SAS Macros and SAS/GRAPH Software to Produce Data-Driven Laboratory Data Plots Paul M. Gilbert source 5
SEUGI 1991 Development of PC-based Land Suitability Analysis and Demand Distribution Model for Allocation, Forecasting and Planning Elise Bright,
Parviz Nazem		 source 12
SUGI 1991 Using the C Language with SAS/TOOLKIT Software Oliver Bradley source 11
SUGI 1988 Data-based Water Quality Information System Susan Campbell,
Jeffery Finkeldey		 source 4
SUGI 1988 SAS/AF Utility Macros Karen Crandall source 3
SUGI 1987 Getting the Most from PROC TABULATE Andrew A. Norton source 10
SUGI 1985 Combining SAS/FSP and the New Macro Facility to Create a Full-screen Interface to a SAS Program Mark J. Holdbrook source 4
SUGI 1984 AURORA - Automated Rostering Application Dick te Winkel,
Erik W. Tilanus		 source 4
SUGI 1983 A Proposal for Evaluating SAS Skills of Potential Employees Ann S. Allen,
Alvin M. Best III,
C. Royce Claytor		 source
SUGI 1982 PROCs COMPARE and HEADER for Efficient Database Management in SAS Martha McCrate,
J. Philip Miller,
Michael A. Province		 source 6
SUGI 1980 SAS Macros for Survival Analysis James A. Bolognese,
Irving K. Hwang		 source 6

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