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concomitant medications

250 papers and 19 presentations; 259 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG CN 2026 A Standardized Programming Framework for Daily Dose Dataset Construction from Multi-Source Clinical Data Xianjun Li,
Chengye Lu		 source 10
PharmaSUG CN 2026 Data Collection, Structuring, Analysis, and Reporting Considerations for CRS, ICANS, and IEC-HS in CAR-T Clinical Trials Zhemin Pan,
Jimmy Yang,
Shasha Hu,
Bo Li		 source 24
PharmaSUG CN 2026 Safety Estimands and Analysis Dataset Design: Advancing Safety Evaluation in Clinical Trials Kun Ren,
Zeyu Guang		 source 11
PharmaSUG 2026 Advanced SAS Graph Template Language (GTL) with Practical Examples from Oncology Trials Ceng Qian,
Xu Wen,
Wei Lei,
Ling Han		 source 15
PharmaSUG 2026 Beyond WHODrug: Insight into Concomitant Medication Data Analysis Song Liu,
Martin Nielsen,
Rambabu Sura		 source 9
PharmaSUG 2026 Designing a modular and interactive visualization tool for DMC Chen Li,
Hong Wang,
Shu Chen,
Xuan Jiang		 source 2
PharmaSUG 2026 Dynamic Patient Profile Plot Development with SAS Graph Template Language Raghava Pamulapati,
Guowei Wu,
Danfeng Fu		 source 13
PharmaSUG 2026 From Chaos to Clarity: A Programmer-s Perspective on Standardizing Population Pharmacokinetic (PopPK) Data for Regulatory Success Naveen Muppalla,
Shibani Harite		 source 7
PharmaSUG 2026 From Static Outputs to Living the Data - A Visualization framework transforming Clinical Data into a Continuous Asset Neharika Sharma source 13
PharmaSUG 2026 Investigator-Initiated Trials: Navigating Statistical Programming Challenges with Practical Solutions Vikas Patil,
Ramesh Sundaram		 source 6
PHUSE US 2026 Building Sustainable RBQM Frameworks: Challenges, Metrics and Real-World Results Nicole Stansbury source
poster source		 7
PHUSE US 2026 Comparing Medical Queries with Interactive Graphics using JMP Clinical Chris Kirchberg source
presentation source		 7
PHUSE US 2026 Electronic Submission of Population PK Analysis Files ... What's Your Modus Operandi? Luai R. Alzoubi source
presentation source		 13
PHUSE US 2026 From ATC to ACG: Implementing the Concomitant Medication Grouping (ACG) Dataset in Clinical Trial Analysis Michelle Starkell source
presentation source		 8
PHUSE US 2026 Integrated Summary of Safety (ISS) Demystified: Practical Considerations for a Successful ISS Ji Qi,
Lily Cheng		 source
presentation source		 8
PHUSE US 2026 Interactive Patient Profiles in R Shiny: Enhancing Narrative Review in Clinical Studies Danny Hsu,
Tzu-Chien Chuang		 source
poster source		 4
PHUSE US 2026 Prompting for Precision: Leveraging Agentic Workflows to Accelerate Clinical Trial Document Understanding Jaya Simha Inampudi source
presentation source		 14
PHUSE US 2026 Real-World Evidence Pavilion: Interactive Workshop: Bridging Estimands & Target Trial Emulation [presentation] Lauren Dang,
Matt Baldwin		 source 6
PHUSE US 2026 Safety at a Glance: Enhancing Participant Monitoring in Oncology Trials with Data Visualisation Agnieszka Bel source
presentation source		 10
PHUSE US 2026 Straight to the Source: Interactive Visual Dashboards for Data Cleaning Daniel Smith source
presentation source		 8
PHUSE APAC 2026 Critical & Sensitive Information (CSI) Paper AS02 Revolutionizing Clinical Quality: A Frontier Approach with Quality by Design (QbD), Infrastructure Modernization and Data-Driven Analytics Priti Gupta,
Deepa Balaji		 source
presentation source		 12
PHUSE EU 2025 Hash-ing It Out: Bringing SAS to the Next Level Lara Suckut,
Veronika Schmidt		 source
presentation source		 7
PHUSE EU 2025 Untangling the Dependencies Web Rhys McCrosson source
presentation source		 12
PHUSE EU 2025 Using Visual Dashboards to Improve Data Accuracy Daniel Smith source
poster source		 8
SESUG 2025 Statistical Programmer's role in Bioresearch Monitoring (BIMO) package creation Sampath Madanu 25
PharmaSUG 2025 Checking SDTM Datasets from Biostatistical Perspective Inka Leprince,
Elizabeth Li		 source 14
PharmaSUG 2025 Cytokine Release Syndrome (CRS) - Data Collection, Clinical Database Integration and Analyses in a Dose Escalation Cell Therapy Trial Cyrille Correia,
Venky Chakravarthy		 source 13
PharmaSUG 2025 Deciphering Exposure-Response Analysis Datasets: A Programmer-s Perspective for Oncology Studies Sabarinath Sundaram source 6
PHUSE US 2025 Accelerating PKPD Analysis with Automated DDI Variable Creation: An SAS-Based Approach Sunil Mummidisetty,
Harish Ganesan		 source
presentation source		 7
PHUSE US 2025 Enhancing Clinical Trial Data Queries with LLMs and Neo4j: A Flexible Framework for ADaM Dataset Management Jaime Yan source
presentation source		 28
PHUSE US 2025 Harnessing the Power of R Shiny in a GxP-Compliant and Validated Manner for Clinical Trial Use Sanyogeeta Andhale,
Shilpa Sood		 source
presentation source		 13
PHUSE US 2025 Optimising AI Software for Automated Protection of Personal and Commercially Sensitive Data Honz Slipka source
poster source		 7
PHUSE US 2025 The Implementation of {teal} Shiny Apps for DMC Activities Zhen Wu,
Peng Zhang		 source
presentation source		 7
PHUSE EU 2024 DaVinci: A Modular Framework for Interactive Data Exploration and Visualisation in Clinical Research Isabel Glauß,
Stefan Döring		 source
presentation source		 5
PHUSE EU 2024 Incorporating Longitudinal Co-Medication Data into Population Pharmacokinetic (POPPK) Analysis Datasets: A Programmer's Perspective Aschwin van der Giesen,
Gerly van der Vleuten		 source
presentation source		 5
PHUSE EU 2024 Perl Regular Expressions in SDTM and ADaM Programming: Live Study Examples Pavol Valovic source
presentation source		 7
PHUSE EU 2024 Using RWD to Inform the Next Study: A Case Study [presentation] Jean-Marc Ferran source 22
PHUSE EU 2024 Visual Monitoring of Intercurrent Events with Heatmap [poster] Alona Bulana source 1
PharmaSUG CN 2024 A Story-telling Patient Profile One-page Graph Using GTL Huizheng Yang,
Qili Fei		 source 14
PharmaSUG CN 2024 Application of Natural Language Processing with R in clinical trials Feifeng Zhou,
Zhenchao Chen		 source 11
PharmaSUG CN 2024 General Considerations for Integrating ADaM Data and Special Handling of One Complex Case in ISS Niandong Yang source 7
PharmaSUG 2024 A 'Shiny' New Perspective: Unveiling Next-Generation Patient Profiles for Medical and Safety Monitoring Helena Belloff,
William Lee,
Melanie Hullings		 source 8
PharmaSUG 2024 Amazing Graph Series: Swimmer Plot - Visualizing the Patient Journey: Adverse Event Severity, Medications, and Primary Endpoint Tracy Sherman,
Aakar Shah		 source 16
PharmaSUG 2024 Deep Dive into the BIMO (Bioresearch Monitoring) Package Submission Mathura P. Ramanathan,
Nancy Brucken		 source 8
PharmaSUG 2024 Lead-in and extension trials, how we documented datapoint traceability Hanne Ellehoj,
Veeresh Namburi		 source 5
PharmaSUG 2024 Source Data Quality Issues in PopPK/PD Dataset Programming: a Systematic Approach to Handle Duplicates Ibrahim Priyana,
Ellen Winckelmans		 source 10
PHUSE US 2024 A Programmer's Perspective on Navigating the Hurdles of Investigator-Sponsored Research (ISR) Trials Jyotsna Lakshmikumar source
presentation source		 6
PHUSE US 2024 AI-Facilitated Monitoring Methods and Techniques to Enhance Participant Safety and Data Integrity Kris Wenzel,
Martin Bauwens		 source
presentation source		 6
PHUSE US 2024 Beyond the Hype: A Pragmatic Approach to Leveraging AI/ML for Data Review Robert Musterer source
presentation source		 10
PHUSE US 2024 Codeless Queries: Harnessing AI to Translate Clinical Trial Questions into Custom Listings Through Intuitive UI Interactions Aditya Gadiko source
presentation source		 7
PHUSE EU 2023 Concomitant Medication Duration Calculation Using the SAS DS2 Procedure Yirong Cao source
presentation source		 10
PHUSE EU 2023 Handling Missing Data in Exploratory Analyses Using RWD: 'Collect the Data You Love or Love the Data You Get' - A Case Study [presentation] Jean-Marc Ferran source 22
PHUSE EU 2023 How Can Python Be Used in Clinical Trials? Andrés Käsa,
Matt Davies,
Pierre Dostie		 source
presentation source		 21
PHUSE EU 2023 Implementation of Estimands Using Data Standards [presentation] Chris Price,
Alexandra Cochinaire		 source 26
PHUSE EU 2023 Look to the Sky: Introducing COMET - the COncomitant MEdication review Tool Neville Cope source
presentation source		 7
PHUSE EU 2023 Patient Profiles v2.0: Easy and Quick Clinical Trial Insights in Tableau Roman Radelicki,
Annelies Van Zeveren		 source
presentation source		 6
PHUSE EU 2023 Real-Time Safety and Medical Review by Integrating Data Visualisations with an SCE Shivoy Pandita,
Santhoshi Madeswaran		 source
presentation source		 8
PharmaSUG 2023 Automating SDTM: A metadata-driven journey. Keith Hibbetts source 11
PharmaSUG 2023 Have Meaningful Relationships: An Example of Implementing SDTM Special Purpose Data Set RELREC with a Many-to-Many Relationship Kaleigh Ragan,
Richann J. Watson		 source 11
PharmaSUG 2023 Programmer-s Perspective: Step into Awareness Regarding Clinical Trial Deliverables and Their Impact Lyma Faroz,
Jinit Mistry		 source 10
PharmaSUG 2023 SDTM Variables You Might Forget About Nadiia Pukhliar,
Dariia Tsyhanenko,
Iryna Kotenko		 source 10
PharmaSUG 2023 Sound SDTM, Sound ADaM - Orchestrating SDTM and ADaM Harmonization Nancy Brucken,
David Neubauer,
Soumya Rajesh		 source 8
PHUSE US 2023 Implementation of Estimands (ICH E9 (R1)) Using Data Standards [presentation] Banoo Madhanagopal,
Lori Van Meter		 source
video		 32
PHUSE EU 2022 The Integration Dilemma Angelo Tinazzi source
video
presentation source		 15
SESUG 2022 Getting Started with DATA Step Hash Objects Joshua M. Horstman source 8
WUSS 2022 Getting Started with DATA Step Hash Objects Joshua M. Horstman source 8
PharmaSUG 2022 ADCM Macro Design and Implementation Chengxin Li,
Tingting Tian,
Toshio Kimura		 source 7
PharmaSUG 2022 Including Population Information in ADaM define.xml for Better Understanding of Datasets Hong Qi,
Majdoub Haloui,
Guowei Wu		 source 6
PHUSE EU 2021 Navigating the Evolving Regulations for Health Canada [presentation] Gina Bennet source
video		 20
PHUSE EU 2021 New Insights Through Cross-portfolio Risk Analysis [presentation] Abdollahi Rouhollah,
Julian Ortiz		 source
video		 17
PHUSE EU 2021 R String Manipulation Functions vs SAS Character Functions Jagadish Katam source
video		 8
PHUSE EU 2021 Utilising LSAF for Data Management at a Belgian Biotech Louella Schoemacher source
video
presentation source		 7
SESUG 2021 Different Ways to Create Patient Profiles Hengwei Liu source 8
SESUG 2021 Getting Started with DATA Step Hash Objects Joshua M. Horstman source 8
SESUG 2021 Getting Started with DATA Step Hash Objects Joshua M. Horstman source 8
PHUSE US 2021 Automation of Patient Narratives Using Natural Language Generation [presentation] Sam Tomioka,
Shiva Katepalli		 source
video		 16
PHUSE US 2021 CSR Narratives Automation [presentation] Ritesh Dhimmar source
video		 23
PHUSE US 2021 Leveraging Standard Analytics in Central Monitoring: The Good, The Bad, & The Ugly [presentation] Angela Geiger,
Arianna Galli		 source
video		 20
PHUSE US 2021 Processes and Techniques for Creating Integrated Summary of Safety (ISS) Ghanshyam Jangid,
Jane E. Marrer		 source
video
presentation source		 9
PHUSE US 2021 SDTM, ADaM and Database Normal Forms Implementation [presentation] Andrii Borzenkov source
video		 21
PharmaSUG 2021 BIMO SAS Macros and Programming Tools Mi Young Kwon,
Rohit Kamath		 source 12
PharmaSUG 2021 Creating Patient Profiles Using SAS Software: Proc Report & SAS ODS Ballari Sen source 13
PharmaSUG 2021 Laboratory Results in Relation to Concomitant Medications (CMs) Scott Horton source 14
PharmaSUG 2021 Make Your Life Easy! How SpotFire and SAS together can help with better Data Review and Data Quality Raj Sharma source 12
PharmaSUG 2021 Preserving the Privacy of Participant's Data by Data Anonymization Chaithanya Velupam,
Kaushik Sundaram		 source 10
PharmaSUG 2021 Programming Time Varying Concomitant Medication Covariates in NONMEM PopPK Dataset Dan Xiao,
Jing Su,
Shuqi Zhao,
Xiang Liu		 source 11
PHUSE EU 2020 AI-assisted Medical Coding [presentation] Christian S. Christensen,
Thomas Ellebaek		 source
video		 20
PHUSE EU 2020 Novel eCRF Study Template to Support Adaptive Design Studies in Medidata Rave [presentation] Nele Claes,
Ray Lacchman		 source
video		 29
PHUSE EU 2020 SDTM: Let's Read Outside the Bible [presentation] Sandra Latorre source
video		 23
PharmaSUG 2020 Demystifying SDTM OE, MI, and PR Domains Lyma Faroz,
Sruthi Kola		 source 8
PharmaSUG 2020 Impact of WHODrug B3/C3 Format on Coding of Concomitant Medications Lyma Faroz,
Jinit Mistry		 source 6
PharmaSUG 2020 Programming Patient Narratives Using Microsoft Word XML files Yuping Wu,
Jan Skowronski		 source 9
PharmaSUG 2020 Programming Technique for Line Plots with Superimposed Data Points Chandana Sudini,
Bindya Vaswani		 source 7
PharmaSUG 2020 Standardizing Patient Reported Outcomes (PROs) Charumathy Sreeraman source 7
PharmaSUG 2020 Why Are There So Many ADaM Documents, and How Do I Know Which to Use? Sandra Minjoe source 10
PHUSE US 2020 2020 Syneos Health. All rights reserved Working Smarter source 7
PHUSE US 2020 Assessment of Machine Learning Methods in Coding of Concomitant Medications in Clinical Trials Sanna Herrgård,
Carla Gil,
Ingrid Holst,
John Holmer Nielsen		 source
presentation source		 8
PHUSE US 2020 Confusing Data Validation Rules Explained, Part 2 Michael Beers,
Blue Bell		 source 6
PHUSE US 2020 Data Standards Used for Electronic Submission of Real-World Evidence in New Drug Application (NDA) Nicole Thorne,
Kathy Wu		 source
presentation source		 10
PHUSE US 2020 Implementing New Technical Guidance: A Sponsor Experience with the April 2018 CBER Vaccine Guidance Liping Zhang,
Sandra VanPelt Ngyuen		 source
presentation source		 8
PHUSE US 2020 No more merging! (property graph database demystified) Alexey Kuznetsov source
presentation source		 11
PHUSE US 2020 Population PK Dataset: Basic Concepts and Challenges from the Perspective of a SAS Programmer Namrata Pokhrel source
presentation source		 12
PHUSE US 2020 Volcano Plot: Demystifying Why and How Chandana Sudini,
Jyothi Nelakurthi		 source
presentation source		 9
PharmaSUG 2019 Best Practices for ISS/ISE Dataset Development Bharath Donthi,
Lingjiao Qi		 source 9
PharmaSUG 2019 Interactive TLFs - A Smarter Way to Review your Statistical Outputs Bhavin Busa source 5
PharmaSUG 2019 Merging Sensor Data with Patient Records in Clinical Trials - Systems and Benefits Surabhi Dutta,
Shubhranshu Dutta		 source 9
PharmaSUG 2019 Minimally Invasive Surgery to Merge Data Paul D. Hamilton source 4
PharmaSUG 2019 Performing Analytics on Free-Text Data Fields: A Programer-s Wurst Nitemare Michael S Rimler,
Matt Pitlyk		 source 18
PharmaSUG 2019 Raising the Bar: CDASH implementation in a biometrics CRO Julie Barenholtz source 4
PharmaSUG 2019 Using the PRXCHANGE Function to Remove Dictionary Code Values from the Coded Text Terms Lynn Mullins source 4
PHUSE US 2019 CDISC Doesn't Tell You What to Collect But Regulators Do! Diane Wold source
presentation source		 4
PHUSE US 2019 Don't Let Your Data Handle You: A Novel Approach to Clinical Programming Jorine Putter source
presentation source		 10
PHUSE EU 2018 Can You Cut It? Implementing the Data Cut-off Lewis Meares source
presentation source		 9
PHUSE EU 2018 Implementation of Data Cut Off in Analysis of Clinical Trials Ann Croft source
presentation source		 13
PHUSE EU 2018 Optimizing the Traceability Method in ADaM Parallel Conversions Roxane Debrus source
presentation source		 15
SESUG 2018 Tips on Developing SDTM Datasets for Complex Long-Term Safety Studies Yunzhi Ling,
Helen Wang		 source 7
PHUSE US 2018 BIMO Listings - Check That Off Your NDA To-Do List Charanjit Kahlon,
Bhavin Busa		 source 7
PHUSE US 2018 Confusing Data Validation Rules Explained Michael Beers source
presentation source		 5
PHUSE US 2018 CRF Design for Data Standards David A. Scocca source
presentation source		 4
PHUSE US 2018 Modeling and Text Analysis to Empower FAERS Adverse Event Mitigation Qais Hatim,
Emily McRae		 source
presentation source		 24
PharmaSUG 2018 Challenges & Strategies in PKPD Programming Jing Su,
Jiannan Kang		 source 6
PharmaSUG 2018 Confusing Data Validation Rules Explained Michael Beers source 6
PharmaSUG 2018 Core and Extension studies - Challenges and solutions towards SDTM submission Murali Marneni source 6
PharmaSUG 2018 Graph Display of Patient Profile in SAS Yanwei Han source 7
PharmaSUG 2018 Implementation of Data Cut Off in Analysis of Clinical Trials Mei Dey source 15
PharmaSUG 2018 Preparing the Office of Scientific Investigations (OSI) Requests for Submissions to FDA Zihui Lin,
Wei Cui,
Yaling Teng,
Ran Li		 source 9
PharmaSUG 2018 Programmer's Guide for OSI Deliverables - Creation of Site Level Summary Dataset and Automation of BIMO Listins Generation Charanjit Kahlon,
Kristie Kooken,
Bhavin Busa,
Dharmendra Tirumalasetti		 source 10
PharmaSUG 2018 Risk-based Validation in Clinical Trial Reporting: Focus on What Matters Most Amber Randall,
William Coar		 source 10
SESUG 2017 Statistician's secret weapon: 20 ways of detecting raw data issues Lixiang Larry Liu source 8
SESUG 2017 Streamlining ADaM Dataset Specifications Hunter Vega source 6
PHUSE EU 2017 An FDA Submission Experience Using the CDISC Standards Angelo Tinazzi,
Cédric Marchand		 source
presentation source		 15
PHUSE EU 2017 Robust Study Database Build: An Effective Start Towards Creation of Quality SDTMs Onkar Tajarekar source
presentation source		 9
PHUSE EU 2017 Use of Fast Healthcare Interoperability Resources (FHIR) in the Generation of Real-World Evidence Trisha Simpson,
Regina Zopf		 source
presentation source		 12
PHUSE EU 2017 Visualising CDSIC SDTM for Monitoring and Review Philip Bartle source
presentation source		 11
PHUSE EU 2017 Visualizing and Cleaning Unsolicited Safety Data (ICSRs) Using R in Aiding Causality Assessment Sheik Akhil,
Krishna Asvalaya		 source
presentation source		 6
PharmaSUG CN 2017 Effective Statistical Programming Preparation and Support for CFDA Self-Inspections and Onsite Inspections Peng Wan 5
PharmaSUG 2017 A Combined AE + CM Graph using SAS Sanjay N. Matange source 7
PharmaSUG 2017 A Guide To Programming Patient Narratives Renuka Tammisetti,
Karthika Bhavadas		 source 6
PharmaSUG 2017 A SASsy Study of eDiary Data Amie Bissonett source 5
PharmaSUG 2017 Data Integrity: One step before SDTM Pavan Kathula,
Sonal Torawane		 source 9
PharmaSUG 2017 RELREC - SDTM Programmer-s Bermuda Triangle Charumathy Sreeraman source 12
PharmaSUG 2017 SAS vs Tableau: Creating Adverse Event/ Concomitant Medication Time line plot Liling Wei,
Kathy Chen		 source 6
PharmaSUG 2017 Statistician's secret weapon: 20 ways of detecting raw data issues Lixiang Larry Liu source 8
SESUG 2016 SDTM What? ADaM Who? A Programmer's Introduction to CDISC Venita DePuy source 9
PHUSE EU 2016 Coding WHO-DDE: An Automatic, Easy and Powerful SAS Tool Gianluca Mortari source
presentation source		 11
PHUSE EU 2016 Constructing a Clinical Data Warehouse for Nutrition Studies [presentation] Paul Vervuren source 27
PHUSE EU 2016 Upstream with Your Statistician and a Data Visualisation Paddle Nick Cowans source
presentation source		 6
PHUSE EU 2016 Use of Fast Healthcare Interoperability Resources (FHIR) in the Generation of Real World Evidence (RWE) Regina Zopf,
Jeffrey M. Abolafia,
Bhargava Reddy		 source
presentation source		 12
PharmaSUG 2016 Automating Patient Narratives - The Medical Writer Loves Me! Scott Burroughs source 7
PharmaSUG 2016 Efficient Safety Assessment in Clinical Trials using the Computer-generated AE Narratives of JMP Clinical Richard C. Zink,
Drew Foglia		 source 13
PharmaSUG 2016 Implementation of ADaM Basic Data Structure for Cross-over Studies Songhui Zhu source 10
PharmaSUG 2016 The New STREAM Procedure as a Virtual Medical Writer Joseph W. Hinson source 13
PharmaSUG 2016 The Power of Perl Regular Expressions: Processing Dataset-XML documents back to SAS Data Sets Joseph W. Hinson source 9
PharmaSUG 2016 Trivial Date Tasks? PROC FCMP Can Help Jueru Fan source 10
PharmaSUG 2016 What HIGHLOW Can Do for You Kristen Much,
Kaitlyn Steinmiller		 source 12
PHUSE EU 2015 Getting the Most Out of Keys - Using Hash Components to Select, Subset or Summarise Pamela J. Giese source
presentation source		 8
PharmaSUG CN 2015 Hands-On ADaM ADAE Development Sandra Minjoe 7
PharmaSUG CN 2015 SAS End-to-End solutions in Clinical Trial Emma Liu 17
PharmaSUG 2015 Considerations in ADaM Occurrence Data: Handling Crossover Records for Non-Typical Analysis Karl Miller,
Richann J. Watson		 source 6
PharmaSUG 2015 DIABETES: Submission Data Standards and Therapeutic End Points Naveed M Khaja source 9
PharmaSUG 2015 It Depends On Your Analysis Need Sandra Minjoe source 10
PharmaSUG 2015 Proc STREAM: The Perfect Tool For Creating Patient Narratives Joseph W. Hinson source 12
PharmaSUG 2015 What is the "ADAM OTHER" Class of Datasets, and When Should it be Used? John K. Troxell source 5
PharmaSUG 2015 What to Expect in SDTMIG v3.3 Fred Wood source 10
SESUG 2014 SDTM What? ADaM Who? A Programmer's Introduction to CDISC Venita DePuy source 9
PHUSE EU 2014 Challenges of Different MedDRA Versions for Integrated Data and Databases Peter Bonata source
presentation source		 8
PHUSE EU 2014 Challenges with the Interpretation of CDIOSC - Who Can We Trust? Linda Palm Simonsson source
presentation source		 10
PHUSE EU 2014 Considerations in Creating Transparent SDTM-Based Datasets Jerry Salyers,
Richard Lewis		 source
presentation source		 8
MWSUG 2014 Jack of all Listings, A New Approach for Review of Clinical Data Hardik Panchal 15
PharmaSUG CN 2014 Monitoring Child Growth and Safety Profile using Growth Charts Rajesh Babu Moorakonda,
Mihir Gandhi		 9
PharmaSUG 2014 A SAS Macro Tool for Visualizing Data Comparison Results in an Intuitive Way Hui Wang,
Weizhen Ying		 source 12
PharmaSUG 2014 Considerations in the Submission of Exposure Data in SDTM-Based Datasets Fred Wood,
Jerry Salyers,
Richard Lewis,
Kristin Kelly		 source 6
PharmaSUG 2014 Hands-On ADaM ADAE Development Sandra Minjoe,
Kimberly Minkalis		 source 7
SGF 2014 Programmatic Challenges of Dose Tapering Using SAS Iuliana Barbalau,
Chen Shi,
Yang Yang		 source 9
SESUG 2013 Patient Profile Graphs Using SAS Sanjay N. Matange source 14
PHUSE EU 2013 of 7 Drug Groupings source
presentation source		 7
NESUG 2013 Pooling strategy for clinical data Abraham Yeh,
ShinRu Wang,
Xiaohong Zhang		 11
PharmaSUG 2013 Analysis of Concomitant Medication Data Joseph J. Hantsch,
Karl Miller		 source 4
PharmaSUG 2013 Defensive Programming and Error-handling: The Path Less Travelled Tracy Sherman,
Angela S. Ringelberg		 source 9
PharmaSUG 2013 Hands-On ADaM ADAE Development Sandra Minjoe source 7
PharmaSUG 2013 Introduction to the CDISC Standards Sandra Minjoe source 10
PharmaSUG 2013 Patient Profile Graphs Using SAS Sanjay N. Matange source 14
PharmaSUG 2013 SAS GTL: Improving Patients Safety and Study Efficiency Masaki Mihaila source 11
PharmaSUG 2013 Traceability in the ADaM Standard Ed Lombardi source 8
SGF 2013 Patient Profile Graphs Using SAS Sanjay N. Matange source 14
SGF 2013 Using the ADaM ADAE Structure for Non-AE Data Mario Widel,
Sandra Minjoe		 source 13
PHUSE EU 2012 Designing Co-Medication Matrices Using a Burt Table Principal Berber Snoejer source
presentation source		 4
PHUSE EU 2012 Pooling Clinical Data: Key Points and Pitfalls Florence Buchheitt source
presentation source		 8
SESUG 2012 Developing a Complete Picture of Patient Safety in Clinical Trials Richard C. Zink,
Russell D. Wolfinger		 source 5
SESUG 2012 Programmatic Automation of Categorizing and Listing Specific Clinical Terms Ravi Kankipati,
Abhilash Chimbirithy		 source 6
SESUG 2012 SAS Programming tips and techniques for Data Mapping Sheetal Nisal source 7
MWSUG 2012 Programmed Assisted Patient Narratives (PANs) with New SAS ODS and Graphical Approaches Faye Yeh,
Melvin S. Munsaka		 12
PharmaSUG 2012 Avoiding a REL-WRECK; Using RELREC Well Karl Miller,
Joseph J. Hantsch,
Janet E. Stuelpner		 source 6
PharmaSUG 2012 Identifying and Verifying Treatment-Emergent Adverse Events and Concomitant Medications by Date Specificity Tom Santopoli source 5
PharmaSUG 2012 PROGRAMMER'S SAFETY KIT: Important Points to Remember While Programming or Validating Safety Tables Sneha Sarmukadam,
Sandeep Sawant		 source 11
PharmaSUG 2012 Supplementing Programmed Assisted Patient Narratives (PANs) with Graphs Using SAS Faye Yeh,
Melvin S. Munsaka		 source 12
SGF 2012 Examples of Building Traceability in CDISC ADaM Datasets for FDA Submission Xiangchen (Bob) Cui,
Hongyu Liu,
Tathabbai Pakalapati		 source 14
SGF 2012 SUPPQUALWhere's My Mommy? Sandra VanPelt Nguyen source 8
SESUG 2011 Proc CDISC: Implementation and Assessments Sheetal Nisal source 6
WUSS 2011 Analyze This? Supporting Clinical Decisions Graphically When Not Enough Data is Available A Study Case: Challenges in NCI CTCAE Version 4 Grading Sheila Dayog source 4
PHUSE EU 2011 Three Unique Case Studies - On the Trail of the Holy Grail of SDTM Implementation Kenneth Stoltzfus source
presentation source		 6
NESUG 2011 Product Repository: Oblectives and Utilization - A Case Study Amit Bhanose,
Smitha Mullapudi		 5
PharmaSUG 2011 A Special SDTM Domain RELREC and its Application Changhong Shi,
Beilei Xu		 source 8
PharmaSUG 2011 Creating SDTM Datasets from Legacy Data Fred Wood source 6
PharmaSUG 2011 From SAP to BDS: The Nuts and Bolts Nancy Brucken,
Paul K. Slagle		 source 9
PharmaSUG 2011 Truncation, Variable Association, Controlled Terminology, and Some Other Pitfalls in the SDTM Mapping Process Na Li,
Gary de Jesus,
Daniel Bonzo		 source 8
PharmaSUG 2011 Your Dataset Looks Fine - But Does It Comply with '99? Meenal (Mona) Sinha source 3
PHUSE EU 2010 How to process data from clinical trails and their open label extensions Thomas Grupe,
Stephanie Bartsch		 source
presentation source		 5
PHUSE EU 2010 Identifying medications that are protocol violations John van Bemmelen source
presentation source		 5
PHUSE EU 2010 Interactive Clinical Data Review for Safety Assesment and Trial Operations Management Michael O'Connell source
presentation source		 13
PHUSE EU 2010 Statistical Graphics for Review and Reporting in Clinical Development Kerstin Pietzko,
Michael O'Connell		 source
poster source		 12
PHUSE EU 2010 Uncover Useful Patterns in Clinical Trials Safety Data with JMP Clinical Valérie Nedbal source 7
PharmaSUG 2010 Checking for SDTM Compliance: The Need for Human Involvement Fred Wood,
Adrienne Boyance		 8
PharmaSUG 2010 Evolving role of statistical SAS programmers in the pharmaceutical industry Venkata Sekhar Bhamidipati,
Haiping Zhou		 5
PharmaSUG 2010 Using Advanced RTF language to Enhance ODS RTF Output Zhouzhou Xi 4
PHUSE EU 2009 The MEDCODE mcacro and the PRXCHANGE function Gary S. Stevens source 3
PHUSE EU 2009 Using SAS Macros to simplify preparation and validation of SDTM data, Annotated CRFs and Define.xml in a metadata driven environment Niels Both source
presentation source		 10
PharmaSUG 2009 Data Conversion to SDTM: What Sponsors Can Do to Facilitate the Process Fred Wood 6
PHUSE EU 2008 Automated Drug Safety Signal Detection with Guided Ana Eric C. Brinsfield,
David Olaleye		 source 7
PHUSE EU 2008 Drug Safety Reporting - now and then David J. Garbutt source 23
PHUSE EU 2008 In at the Deep-End (thoughts on mapping multiple studies into CDISC for an ISS/ISE) Andrew Noller source 7
PHUSE EU 2008 Statistically guided review of safety data in clinical trials Michael O'Connell,
Harry Southworth		 source 12
PharmaSUG 2008 EZTABLE Macros Daniel Huang 12
PharmaSUG 2008 Tightening the Corners for Better Search Efficiency Meera G. Kumar 5
SGF 2008 Standard Management-Approved Report Templates: The SMART System Gary S. Stevens source 7
NESUG 2007 Relationships Between CDISC Variables Linking Domains (relrec) (CDISC Variable Relationships Part 3 of 3) Susan Fehrer,
Russell M. Lavery		 12
PHUSE EU 2007 Intelligent outputs - Telling the story Claire Hoggins source 4
PHUSE EU 2007 Medical safety review Marleen Nijs,
Ilse Augustyns		 source 7
PHUSE EU 2007 Relationships between CDISC variables linking domains (relrec) Susan Fehrer,
Russell M. Lavery		 source 12
PHUSE EU 2007 Standard Management Approved Report Templates Gary S. Stevens source 7
PharmaSUG 2007 Coding Technique to Validate Output Automatically Hui-Ping Chen 4
PharmaSUG 2007 The Use of CDISC Standards in SAS from Data Capture to Reporting Andrew T. Fagan 21
SGF 2007 Using Arrays to Calculate Medication Utilization R. Scott Leslie source 5
PHUSE EU 2006 Partial Dates; decisions and implications of handling partially missing dates Rachel Bowman source 6
PHUSE EU 2006 The Use of CDISC Standards in SAS from Data Capture to Reporting Andrew T. Fagan source 21
PharmaSUG 2006 Longitudinal Graphs with Annotate Jasmin Fredette 11
PharmaSUG 2006 Page Breaks: Simple and Effective Ways to Neatly Present Data Suzanne M. Humphreys 9
PHUSE EU 2005 Understanding the Japanese culture and approval process Richard Harvey source 10
PharmaSUG 2005 %PREFTAB - A macro to automatically create adverse event, medical history and concomitant medication tables Wilfried Esken 11
PharmaSUG 2005 Issues in Intermittent Coding of Concomitant Medication Julius Asubonteng 5
PharmaSUG 2005 Pharmacovigilance and Drug Safety Reporting Algorithms (Content and Process) David Olaleye,
Michael Kilhullen,
Gail Kongable,
Tanyss Mason,
Eugenia Bastos,
Edward D. Helton		 8
WUSS 2004 Comparing Two SAS Data Sets: Start at the Top Ann Olmsted source 5
PharmaSUG 2004 A Simplified Way to Create Flags for the Three-Dimensional Prior, Concomitant, and Post Medication Classification Aileen L. Yam 5
PharmaSUG 2004 Automation of Patient Narratives Using SAS and Analysis Datasets David C. Izard 6
PharmaSUG 2004 Creating a Mixed Case Format for Monocase Data Using an Input Control Data Set with Proc Format Lisa A. Soberano 7
PharmaSUG 2004 One Frequency Macro for All Frequency Tables Sam Mao 9
SESUG 2003 Creating a Compact Columnar Output with PROC REPORT Walter R. Young source 8
PharmaSUG 2003 SAS and MedDRA - A Winning Combination A "Home Grown" application for the Medical Coding of Adverse Events with MedDRA Elaine Dempsey 4
PharmaSUG 2003 Using RTF, EPS and PDFMARK to Automate the Creation of Your DEFINE.PDF Document for Electronic Submissions Dirk Spruck,
Aventis Behring		 6
NESUG 2002 Merging Multiple Observation Data Sets Together Timothy D. Kelly 2
PharmaSUG 2002 An Automation System for Generating Case Report Form Tabulations David C. Izard,
Shi-Tao Yeh		 6
PharmaSUG 2002 The 800-Pound Gorilla: Taking on the Challenge of Globally Standardizing Adverse Event and Medication Reporting Deborah Harper,
Jennifer Tjernagel		 4
SESUG 2000 Using SAS/AF to Create Applications for Looking Up and Coding Adverse Events and Generic Drug Names in Clinical Trials Karen B. Fowler,
Emily A. Mixon		 source 3
SEUGI 2000 Creating PDF Documents including hyper-links, bookmarks and a table of contents with the SAS Software [presentation] Lex Jansen source 39
SEUGI 2000 Efficient reporting to the authorities using SAS [presentation] An Smets source 37
PharmaSUG 2000 Subject Profiles: (Almost) as easy as 1, 2, 3 Greg Silva 4
SEUGI 1999 Data mining: beyond mandatory reporting to the authorities [presentation] Franky De Cooman source 17
SUGI 1999 Concomitant Medications: What a Programmer Needs to Know Irving A. Dark source 2
SESUG 1998 Programmatic Generation of Table Specifications Using the SAS Macro Facility Weimin "WilHam" Sun,
Caroline Stewart		 10
NESUG 1996 Macros Developed for Statistical Summary and Tabulation of Clinical Data William Sun,
David Lago,
David Handelsman,
Jack Shostak		 10
SUGI 1996 Choosing an Application Development Tool for Your CANDA Barry R. Cohen source 8
NESUG 1995 The Choice of SAS Software as the Application Development Tool for Your CANDA Barry R. Cohen 9
WUSS 1995 Designing an Integrated Safety Summary of Clinical Trials Linda Collins,
Patricia L. Gerend		 source 6
SESUG 1994 A PPLICA liONS DEVELOPMENT David S. Focht 8
SUGI 1993 Using the FRAMf Entry to Develop a Graphical-based Patient Laboratory Safety Review Application David A. Bright source 9
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
NESUG 1992 Use of Code Generation in a Standard Edit Check Facility Robert Musterer 4
SUGI 1990 Using SAS/AF Software to Transport SAS Data Files from the VMS'"Environment to an IBM OS Environment Kathleen M. Freeman source 8
SUGI 1984 An FSEDIT Screen Building Program to Allow Multiple Observations per Screen Judith A. Burns,
Leon T. Hairie,
Thomas R. Hoffman		 source 6

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