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176 papers and 16 presentations; 182 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 Implementing Laboratory Toxicity Grading for CTCAE Version 6 and Beyond Keith Shusterman,
Mario Widel		 source 6
PHUSE APAC 2026 Decoding NCI-CTCAE: Smarter Lab Grading Through Metadata and Automation Zulfat Kapadia source
presentation source		 9
PHUSE APAC 2026 Elevating transparency in data standardization Applying XAI in SDTM, ADaM, and TLF Generation Shakila Jagadeesan source
presentation source		 10
PHUSE EU 2025 Cracking the Curve: Unlocking Clinical Insights with Ridgeline Plots Mariam Babayan,
Rafik Ghazaryan		 source
presentation source		 6
PHUSE EU 2025 How to map lab data into the LB domain and ADLB Bert Parmet source
poster source		 6
PharmaSUG 2025 Addressing early challenges in RWD data standardization for analysis and reporting of RWE studies Xingshu Zhu,
Li Ma,
Bo Zheng		 source 9
PharmaSUG 2025 Enhancing Health Equity Outcomes through Comprehensive Data Collection of Marginalized Populations including Sexual Orientation, Gender Identity and Intersex Status (SOGI) Donna Sattler source 5
PHUSE US 2025 A Customized Algorithm to Evaluate the Quality and Reliability of Real-World Lab Data Lihai Song source
presentation source		 10
PHUSE EU 2024 Generative AI: A Clinical Programmer's Friend! Karl Kennedy,
Daniel Ghali		 source
presentation source		 10
PharmaSUG 2024 An Introduction to the SAS Transpose Procedure and its Options Timothy J. Harrington source 14
PharmaSUG 2024 Cultivating Success with Non-standard Investigator-sponsored Trial Data for FDA Submissions Jai Deep Mittapalli,
Jinit Mistry,
Venkatesulu Salla		 source 9
PharmaSUG 2024 PHUSE Safety Analytics Working Group - Overview and Deliverables Update Nancy Brucken,
Mary Nilsson,
Greg Ball		 source 5
PHUSE US 2024 Data Handling through CDISC Standards in Master Protocols: A Focus on Rescreened and Re-Enrolled Subjects Swathi Kotla,
Madhusudhan Reddy Papasani		 source
presentation source		 7
PHUSE US 2023 Custom Domains ... the Gaps in Standardized Data Michael Beers source
presentation source		 8
PHUSE US 2023 Enabling the Digital Data Flow from eProtocol to Downstream Processes [presentation] Berber Snoeijer,
Kumar Patel		 source
video		 13
PHUSE US 2023 Standardizing SDTM Laboratory (LB) Programming Murali Marneni,
Stephanie Olexovitch		 source
presentation source		 8
PHUSE US 2023 The Thick and Thin of Adopting Risk-Based Approach to Data Management [presentation] Michał Ruciński source
video		 17
PHUSE EU 2022 How Will Knowledge Graphs Improve Clinical Reporting Workflows? [presentation] Alexey Kuznetsov,
Jorine Putter		 source
video		 15
PHUSE EU 2022 Leveraging Information from Healthy Volunteers' Placebo Data [presentation] Koen Ven source
video		 17
PharmaSUG 2022 From the Laboratory Toxicity Data Standardization to CTCAE Implementation Xiaoyin Zhong,
Jerry Xu		 source 7
PharmaSUG 2022 Rethinking Programming Assignments Scott Burroughs source 4
PHUSE US 2022 (eDISH) Evaluation of Drug-induced Serious Hepatotoxicity Using SAS Graph [presentation] Jaimin Patel source 13
PHUSE US 2022 An open-source project to map lab terminology and standardize units for analysis Sunil Kumar Pusarla,
Kevin R. Viel,
Dante Di Tommaso		 source
video
presentation source		 7
PHUSE US 2022 Integration of SAS LSAF and Veeva Using REST APIs [presentation] Ben E. Bocchicchio,
Pritesh Desai		 source 16
PHUSE EU 2021 How to Handle Large Data Volumes in SDTM Using Continuous Glucose Monitoring as an Example [presentation] Ari Siggaard Knoph,
Martin Gram		 source
video		 14
PHUSE US 2021 How Will Knowledge Graphs Improve Clinical Reporting Workflows? [presentation] Alexey Kuznetsov,
Jorine Putter		 source 9
PHUSE US 2021 Processes and Techniques for Creating Integrated Summary of Safety (ISS) Ghanshyam Jangid,
Jane E. Marrer		 source
video
presentation source		 9
PharmaSUG 2021 Laboratory Results in Relation to Concomitant Medications (CMs) Scott Horton source 14
PharmaSUG 2021 Making Customized RTF Output with R Package r2rtf Huei-Ling Chen,
Heng Zhou,
Madhusudhan Ginnaram,
Yilong Zhang		 source 12
PharmaSUG 2021 Standardizing Laboratory Data From Diverse RWD to Enable Meaningful Assessments of Drug Safety and Effectiveness Irene Cosmatos,
Michael Bulgrien		 source 11
PHUSE EU 2020 Pooling lab data to support FDA submission: keep it clear and simple Joske van Schijndel source
video		 5
PHUSE US 2020 Big Lab Data at the Fingertips of the Statistical Reviewers Using R Shiny Mukul K Mittal,
Sarah Cannon		 source
presentation source		 8
PHUSE US 2020 Challenges and Solutions While Mapping Laboratory Data [poster] Ratheesh Gunda source 1
PHUSE US 2020 eSource Arising: Clinical Data Automation Possibilities Beyond Data Capture Sofie Stynen,
Annelies Van Zeveren		 source
presentation source		 8
PHUSE US 2020 Get to the Bottom of Lab Toxicity Grading: Challenges and Implementation of CTCAE Version 5 Xiaoyin Zhong source
presentation source		 5
PHUSE US 2020 Lab Master List File Makes Easy Clio Wu source
presentation source		 7
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 Use of FHIR in Clinical Research: From Electronic Medical Records to Analysis Jeffrey M. Abolafia,
Priya Gopal,
Samuel Hume		 source
presentation source		 12
SESUG 2019 Make your Data shine with R-Shiny Pavan Vemuri(Sri Pavan Vemuri), Alkermes; Sri Pavan Vemuri source 13
PharmaSUG 2019 Auto-generation of Clinical Laboratory Unit Conversions Alan Meier source 9
PharmaSUG 2019 Bidirectionality to LOINC: Handling the Nitty Gritty of Lab Data Bhargav Koduru source 8
PharmaSUG 2019 Figure it out! Using significant figures from reported lab data to format TLF output Elizabeth Thomas,
Lauren Williams		 source 8
PharmaSUG 2019 Making Lab Toxicity Tables Less Toxic on Your Brain Lindsey Xie,
Jinlin Wang,
Jennifer Sun,
Rita Lai,
Richann J. Watson		 source 13
PharmaSUG 2019 Strategy to Evaluate the Quality of Clinical Data from CROs Charley Z. Wu source 7
PharmaSUG 2019 The Anatomy of Clinical Trials Data: A Beginner's Guide Venky Chakravarthy source 14
PHUSE US 2019 Effective Presentations of CTCAE-graded Laboratory Data William Coar,
Amber Randall		 source
presentation source		 7
PHUSE US 2019 Use of FHIR in Clinical Research: From Electronic Medical Records to Analysis Priya Gopal source
presentation source		 12
PHUSE US 2019 Using an MDR to Manage Your Lab Test Definitions Daniel Ringenbach,
Roopa Kandukuri		 source
presentation source		 7
SCSUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels John R. Gerlach source 15
SCSUG 2018 Standardisation of clinical laboratory data using SAS Laxmi Samhitha Bontha source 4
PHUSE EU 2018 eSource to SDTM: Trade-offs and Pay-offs Donald Benoot,
Swapna Pothula		 source
presentation source		 11
PHUSE EU 2018 The "CDISC Stupidario" (the CDISC Nonsense) Angelo Pinazzi source
poster source		 11
PHUSE EU 2018 The interpretation and development of SDTM standards for non-submission purposes Paul Vervuren source
presentation source		 11
SESUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels John R. Gerlach,
Keith J. Brown		 source 15
WUSS 2018 CDISC in Phase I/II Studies: Approaches to adopting standards for CSR deliverables Emily Woolley,
Amber Randall		 source 9
PHUSE US 2018 Data Visualization for Data Monitoring Committees for Clinical Trials [presentation] Adam Hamm source 14
PHUSE US 2018 Fuzzy Joins with Proc SQL for Better Data Utilization Sunil Kumar Gupta source
presentation source		 2
PHUSE US 2018 Secure Data Office: An Independent Team that Can Come to the Rescue in Blinded Trials Annelies Van Zeveren,
Yana Hoorne		 source
presentation source		 9
PHUSE US 2018 Supporting a Data Review and Visualization Application with SDTM Deepika Sunkara,
Jagadish Dhanraj		 source
presentation source		 6
PharmaSUG 2018 Advanced Visualization using TIBCO Spotfire and SAS Ajay Gupta source 14
PharmaSUG 2018 Analyzing Adverse Events of Special Interest using Lab Tests and Toxicity Grades Vamsi Krishna Medarametla,
Liz Thomas,
Gokul Vasist		 source 6
PharmaSUG 2018 Global checklist to QC SDTM Lab data Murali Marneni,
Sekhar Badam		 source 10
PharmaSUG 2018 Macro-Supported Metadata-Driven Process for Mapping SDTM VISIT and VISITNUM Pragathi Dayananda,
Eric Crockett		 source 6
PharmaSUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels Keith J. Brown,
John R. Gerlach		 source 15
PharmaSUG 2018 To Error is Human: An Overview of Human Errors in SAS Programming and How to Mitigate Them Nagadip Rao source 9
PharmaSUG 2018 User-defined Functions for Processing Lab Data Richard R. Allen source 13
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 The Anatomy of Clinical Trials Data: A Beginner's Guide Venky Chakravarthy source 14
SESUG 2017 Clinical Data Visualization using TIBCO Spotfire and SAS Ajay Gupta source 12
PHUSE EU 2017 CDISC Transport Standards - A Glance Edwin Ponraj Thangarajan,
Giri Balasubramanian		 source
presentation source		 14
PHUSE EU 2017 Interactive Visualisation of Clinical Laboratory Parameters with SAS Stored Processes and JQuery Ajax Volker Hart source
presentation source		 7
PHUSE EU 2017 The Secure Data Office Concept Annemie Van Dijck source
presentation source		 9
PharmaSUG CN 2017 Assigning VISITNUM and EPOCH [presentation] Na Duan,
Ru He		 32
PharmaSUG 2017 Clinical Data Visualization using TIBCO Spotfire and SAS Ajay Gupta source 12
PharmaSUG 2017 Laboratory Data Standardization with SAS Charley Z. Wu,
Dona-Lyn Wales		 source 12
PHUSE EU 2016 Grading Lab Toxicities using NCI Common Terminology Criteria for Adverse Events (CTCAE) Srinivas Veeragoni,
Ankur Mathur		 source
presentation source		 10
MWSUG 2016 Your Place or Mine: Data-Driven Summary Statistic Precision Nancy Brucken 4
PharmaSUG CN 2016 Hash Object Working Efficiently with Large SAS Datasets [presentation] Yazhen Wang,
Hao Xu		 20
PharmaSUG 2016 Empowering Users By Creating Data Visualization Applications In R/Shiny Sudhir Singh,
Brian Munneke,
Amulya R. Bista,
Jeff Cai		 source 8
PharmaSUG 2016 Handling Interim and Incomplete Data in a Clinical Trials Setting Paul Stutzman source 13
PharmaSUG 2016 Lab CTCAE - the Perl Way Marina Dolgin source 7
SGF 2016 Real-Time Predictive Modeling of Key Quality Characteristics Using Regularized Regression: SAS Procedures GLMSELECT and LASSO Jon M. Lindenauer source 10
MWSUG 2015 Improving Data Collection Efficiency And Programming Process Flow Using SAS Enterprise Guide With Epi Info Chad Wetzel,
Anne O'Keefe,
Justin Frederick		 9
PharmaSUG 2015 Tackling Clinical Lab Data in Medical Device Environment Juan Wu,
Min Lai		 source 7
PharmaSUG 2015 Techniques of Preparing Datasets for Visualizing Clinical Laboratory Data Amos Shu,
Victor Sun		 source 6
PharmaSUG 2015 Use of SAS Reports for External Vendor Data Reconciliation Soujanya Konda source 12
PharmaSUG 2014 Applying ADaM BDS Standards to Therapeutic Area Ophthalmology Songhui Zhu source 10
PharmaSUG 2014 Challenges in Processing Clinical Lab Data Alan Meier source 15
PharmaSUG 2014 Cleaning up your SAS log: Overwritten Variable Info Messages Jennifer M. Srivastava source 6
PharmaSUG 2014 Forging New SDTM Standards for In-Vitro Diagnostic (IVD) Devices: A Use-Case Carey G. Smoak,
Smitha Krishnamurthy,
Mansi Singh,
Sy J. Truong		 source 6
PharmaSUG 2014 Need for Speed in Large Datasets - The Trio of SAS INDICES, PROC SQL and WHERE CLAUSE is the Answer Kunal Agnihotri source 7
PharmaSUG 2014 That SASsy Lab Data Amie Bissonett source 6
PHUSE EU 2013 Standards for the Management of Clinical Trial Data, Why are they Needed, What is Needed? Isabelle Abousahl source
presentation source		 11
PharmaSUG 2013 Defensive Programming and Error-handling: The Path Less Travelled Tracy Sherman,
Angela S. Ringelberg		 source 9
SGF 2013 Developing Your SDTM Programming Toolkit David A. Scocca source 10
SGF 2013 Linking Laboratory Data To Submission Documents Using SAS Technologies Dongmin Shen,
Miu Ling Lau		 source
pdf		 3
SGF 2013 The Hash-of-Hashes as a "Russian Doll" Structure: An Example with XML Creation Joseph W. Hinson source 21
SGF 2013 Using the ADaM ADAE Structure for Non-AE Data Mario Widel,
Sandra Minjoe		 source 13
PHUSE EU 2012 Spotting DILI for FDA Submission Nicola Tambascia,
Sven Greiner		 source
presentation source		 7
SESUG 2012 The SDTM Programming Toolkit David A. Scocca source 10
MWSUG 2012 Programmed Assisted Patient Narratives (PANs) with New SAS ODS and Graphical Approaches Faye Yeh,
Melvin S. Munsaka		 12
PharmaSUG 2012 Supplementing Programmed Assisted Patient Narratives (PANs) with Graphs Using SAS Faye Yeh,
Melvin S. Munsaka		 source 12
PharmaSUG 2012 Transform Incoming Lab Data into SDTM LB Domain with Confidence Anthony L. Feliu source 27
SGF 2012 Your Place or Mine: Data-Driven Summary Statistic Precision Nancy Brucken source 4
PHUSE EU 2011 CYA with JMP - reloaded [presentation] David J. Garbutt source 38
MWSUG 2011 Creating Metadata-Driven Program Logic with the SAS Call Execute Routine - An Example with CTC Grading of Laboratory Results Robert W. Graebner 8
PharmaSUG 2011 Keeping Patients on Schedule, The Art of Visit Windows and Cycle Slotting Paul K. Slagle source 4
PharmaSUG 2011 Macro to Generate Summary and Descriptive Statistics Tables Yogesh Pande source 6
PharmaSUG 2011 New Tips and Tricks for Creating a Harmonized, Report-Friendly SDTM and ADaM Lab Data for a Clinical Study Report Xiangchen (Bob) Cui,
Min Chen,
Scott E. Moseley		 source 12
WUSS 2010 Strategies for Building and Utilizing an Integrated Safety Database Using SAS Denise J. Smith source 11
PHUSE EU 2010 Convert dataset variables into macro variables: a new approach with CALL SET and the SCL FETCH Patrice Agator source
presentation source		 5
PHUSE EU 2010 From ACE to ZINC Paul Vervuren source 8
PharmaSUG 2010 Assigning NCI CTC Grades To Laboratory Results Carol Matthews 8
PharmaSUG 2010 Considerations for Building an Integrated Safety Database Using SAS Denise J. Smith,
Daniel Schulz,
Gayle Kloss,
Wei Cheng		 10
PharmaSUG 2010 Don't run away, it's only Labs Lucy Wang,
Paul K. Slagle		 4
SGF 2010 Dealing with Lab Data: Stacking the Deck in Your Favor Jennifer K. Fulton source 9
SGF 2010 Improving Quality of Care for Chronic Disease in the Primary Care Setting: A Quality Improvement Program Using SAS and Electronic Medical Record Data Andrew S. Baker source 4
PHUSE EU 2009 (Inter)facing SAS Raymond Ebben source
presentation source		 12
PHUSE EU 2009 Standardization of data base: interaction between Biostatistics and Clinical Data Management [presentation] Céline Tendero source 12
PHUSE EU 2009 Techniques for Assigning NCI CTC Grades to Laboratory Results Carol Matthews source 7
PHUSE EU 2009 The CDISC/FDA Integrated Data Pilot: A Case Study in Implementing CDISC Standards to support an Integrated Review Chris Decker source
presentation source		 15
PHUSE EU 2009 This study is essentially just like that other one Louise Mazzeo source 5
NESUG 2009 Successful Lab Result Conversion for LAB Analysis Data with Minimum Effort Pushpa Saranadasa 8
PharmaSUG 2009 Generic System for Generating Data Listings Cheng Jun Tian 15
PharmaSUG 2009 When Simpler is Better - Visualizing Laboratory Data Using "SG Procedures" Wei Cheng 10
PharmaSUG 2009 Your Place or Mine: Data-Driven Summary Statistic Precision Nancy Brucken 4
SGF 2009 Backpacking Your Way through CDISC: A Budget-Minded Guide to Basic Concepts and Implementation Rachel Brown,
Jennifer K. Fulton		 source 7
WUSS 2008 Simple and Effective Way to Validate Clinical Graphs Rajesh Venkkataram source 10
WUSS 2008 When Simpler is Better - Visualizing Laboratory Data Using "SG Procedures" Wei Cheng source 10
PHUSE EU 2008 How big? Oh my...it's time to prepare! Julie Oates source 4
MWSUG 2008 Global Clinical Data Classification: A Discriminate Analysis Amurthur Ramamurthy,
Gordon Kapke,
Jodi Yoder		 16
NESUG 2007 Great Expectations of PROC FORMAT - Applications All You Can Do with Formats in the SAS System John He,
Ram Valluru		 8
PHUSE EU 2007 From local lab to standards and beyond Angelo Tinazzi,
Irene Corradino		 source 10
PHUSE EU 2007 Runtime funtime: Vertical data reporting using runtime formats Michael Auld source 11
PharmaSUG 2007 Creating Metadata-Driven Program Logic with the SAS Call Execute Routine - An Example with CTC Grading of Laboratory Results Robert W. Graebner,
Overland Park		 8
PHUSE EU 2006 Using CDISC Models for the Analysis of Safety Data Susan J. Kenny,
Edward D. Helton		 source 10
PharmaSUG 2006 When There Are Too Many Macro Parameters and We Need One More The Challenges of Writing and Using a Complex Macro Eric Qi,
Blue Bell		 9
SUGI 2006 Dynamic Superscripts and Footnotes Rex Tungala,
Rebecca L. Montgomery		 source 9
SUGI 2006 Graphing Laboratory Data and an Introduction to the Custom Macro %GRAPHME Adrienne Groulx source 7
PHUSE EU 2005 Complex Laboratory Data, Strategies and Tools for a Way out of the Maze Benjamin Szilagyi,
Christof Binder		 source 4
PharmaSUG 2005 Lab Unit Conversions: Taking Advantage of "Expert" External Resources Sandra Minjoe 7
PharmaSUG 2005 The Role of Analysis Datasets in Successful FDA Advisory Meetings Sandy Chang 9
PharmaSUG 2005 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 14
SUGI 2005 Automation of Clinical Trial Laboratory Data Acquisition Using SAS and DDE Balakrishna Dandamudi source 12
WUSS 2004 Successful FDA Advisory Meetings by using Analysis Datasets Sandy Chang,
Steven Wong		 source 10
PharmaSUG 2004 Processing Large Lists of Parameters and Variables With Macro Techniques Eugene Tsykalov 6
SUGI 2004 Directly Using the Lab Ranges Data into SAS Program of Determining Lab Normality Don (Dongguang) Li source 4
NESUG 2003 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 15
PharmaSUG 2003 Application of Some Advanced PROC SQL Features in Clinical Trial Programming Changhong Shi 6
WUSS 2002 Use a Look-up Table instead of Nested IF Statements to Dramatically Shorten Your Code, Simplify Your Changes, and Reduce Your Verification Time Sandra Minjoe source 4
PharmaSUG 2002 The CDISC Laboratory Data Interchange Standard: Using SAS To Read and Write CDISC Compliant Data Sets and Files Margaret Hung 8
SESUG 2000 A SAS/AF Application for Linking Demographic & Laboratory Data for Participants in Clinical & Epidemiologic Research Studies Emily A. Mixon,
Karen B. Fowler		 source 6
NESUG 2000 Clinical Trial Laboratory Data Management using the SAS System Marianne Hack 5
SEUGI 2000 Creating validated standard output using the System Development Life Cycle (SDLC): A practical approach with the Biometrics Department of Solvay Pharmaceuticals [presentation] Saskia Janssen source 37
SEUGI 2000 MDS GLARIF: On-line access to clinical laboratory data from all over the world [presentation] Jean Yves Gouriou source 18
PharmaSUG 2000 Creating Powerful Laboratory Listings Bob J. Hull 3
PharmaSUG 2000 Expedite Processing Central Laboratory Data with Working Practices, Standards and SAS Margaret Hung,
Henry Shades,
Michael Acra		 4
PharmaSUG 2000 Web-enabling Bioanalytic Laboratory Data Loading and QA Processing James Sun 4
PharmaSUG 1999 Error Checking ASCII Lab Data Greg Henkle 4
SCSUG 1998 Laboratory Data Management and Reporting O. M. Little 30
WUSS 1997 Desing of the Clinical Data Portion of a CANDA to Facilitate Review by CDER Kay Obenshain source 5
SESUG 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer 10
PharmaSUG 1997 Design of the Clinical Data Portion of a CANDA to Facilitate Review by CDER Kay Obenshain 5
PharmaSUG 1997 PROC TRANSPOSE as a Useful Intermediary Step in Generating Tables and Listings Tony T. Salehi 11
SUGI 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer,
Bob Anschuetz		 source
SUGI 1997 Overcoming Kainophobia: Replacing Complex Merges with PROC SQL Brenda M. Barber source 6
SUGI 1996 Enumeration Technique for Efficient Clinical Laboratory Reports Matthew J. Becker source 3
SUGI 1996 Integrating SAS Software into a Legacy System or How to Keep a Foot in the 21st Century While Dragging along the 19th David Hrivnak source 8
SCSUG 1995 Nine Cell Laboratory Tables O. M. Little 23
MWSUG 1995 Enumeration Technique for Efficient Clinical Laboratory Reports Matthew J. Becker 3
NESUG 1995 A SAS/AF FRAME Application for Clinical Laboratory Review Denis Michel 7
WUSS 1995 Solutions for the Data "Where?" House: Presenting Data form Many Sources Using SAS and ODBC Andrew J. L. Cary source 10
NESUG 1994 Managing Clincial Lab Data with SAS/aF - an Outline Demonstration Eric C. Brinsfield,
Brad Klenz		 4
SUGI 1994 Managing Clinical Lab Data with SAS/ AF Software - an Online Demonstration Eric C. Brinsfield,
Bradley W. Klenz		 source 4
NESUG 1993 Using the Frame Entry to Develop a Graphical-based Application David A. Bright 9
SCSUG 1993 SAS Macros and PROC SQL in Managing Chemical Plant Laboratory Results Conrad Reynolds 14
SUGI 1993 Clinical Data Processing Efficiency Techniques Denis Michel source 6
SUGI 1993 The Laboratory Review System: A SAS-based Graphical and Statistical Tool Developed for a Computer-Assisted New Drug Application (CANDA) Submission Russell R. Holmes,
David A. Bright		 source 6
SUGI 1993 Using the FRAMf Entry to Develop a Graphical-based Patient Laboratory Safety Review Application David A. Bright source 9
SCSUG 1992 Using of SAS Software to Manage Chemical Plant Laboratory Results Conrad Reynolds 4
NESUG 1992 The Laboratory Review Systems: A SAS-based Graphical and Statistical Tool Developed for a CANDA Submission Russell R. Holmes,
David A. Bright		 6
SUGI 1992 Optimal Clinical Data Structures for Use with SAS/PH-Clinical Software Sandra D. Schlotzhauer,
Andrew T. Fagan		 source 8
SUGI 1992 Using SAS Macros and SAS/GRAPH Software to Produce Data-Driven Laboratory Data Plots Paul M. Gilbert source 5
SUGI 1991 Novel Use of SAS Macros and the GREPLAY Procedure to Display Multiple Scatter Plots in the VMS Environment Michael A. Walega,
Paula B. Podolnick		 source 6
NESUG 1990 Handling Data Exclusions in a Clinical Trials DBMS Thomas R. Hoffman 10
NESUG 1990 Taming the Lab Data Monster: Applying Data-Driven Programming Techniques to Clinical Laboratory Data Brit Minor 4
SEUGI 1990 Laboratory Data Handling SAS Procedure Alfredo Ardia,
F. Pararnello		 source 4
NESUG 1989 The CIVE Program: A Quality Assurance Program for Clinical Study Data Joyce Bartner 8
SUGI 1986 A Simplistic Approach to Tabulating and Summarizing Clinical Laboratory Data Carol A. Bogardus,
Les Pennelly		 source 3
SUGI 1985 A SAS System to Support a Corporate Health and Lifestyle Assessment Program William M. Taylor source 4
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 1983 A Multi-Evaluative Approach to the Analysis of Clinical Laboratory Data William A.T. Archambault Jr.,
James J. Tiede		 source 6

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