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pharmaceutical industry

368 papers and 40 presentations; 390 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 A Novel Approach to Inter-Collaboration using IDEs and GitHub Sydney Hyde,
Tamara Martin		 source 8
PharmaSUG 2026 Goodbye SAS, Hello R: Practical Workflows for CDISC Standards Madeleine Penniston,
Alyssa M. Wittle		 source 12
PharmaSUG 2026 Unleashing Open-Source Potential in SAS: The PharmaForest Ecosystem (proc pharmaforest data=open_source out=... ;) Sharad Chhetri,
Ryo Nakaya		 source 7
PHUSE US 2026 Bridging Analysis and Strategy: The Transformative Role of Statistical Analysts in Drug Development Lingsong Yun source
presentation source		 17
PHUSE US 2026 Code Switching: Parallels Between Human Languages and Multilingual Programming Danielle Stephenson,
Laura Mino		 source
presentation source		 9
PHUSE US 2026 Interactive and Instant: GenAI-Driven Creation of Clinical Trial Applications Marcin Dubel source
presentation source		 12
PHUSE US 2026 Introduction of PharmaForest - Forest of SAS packages Ryo Nakaya,
Hiroki Yamanobe,
Yutaka Morioka		 source
presentation source		 7
PHUSE US 2026 R We There Yet? A Readiness-Assessment Framework for Adoption of R and Open-Source Solutions Narasimhan Kaliyamoorthy source
presentation source		 7
PHUSE US 2026 Submitting RWD: Where We Are and Where We Are Going Ingeborg Holt,
Sarah Ferko,
Jeffrey M. Abolafia		 source
presentation source		 24
PHUSE US 2026 The Use of Git in Statistical Programming Rita Pecuch,
Jim Coates		 source
presentation source		 9
PHUSE APAC 2026 Accelerating Regulatory Submissions with R: A Scalable and Compliant Approach Priyanka Sawant source
presentation source		 6
PHUSE APAC 2026 Unlock Deeper Clinical Insights: A Unified Approach to Data Analysis with SAS, R, and Python Pavan Kallurkar source
presentation source		 7
PHUSE EU 2025 Bridging Languages: Building Integrated Analytical Tools with SAS, R, and Python for Clinical Data Margarethe Povey source
presentation source		 7
PHUSE EU 2025 Closing the Knowledge Gap with a Knowledge Management Strategy Empowered by Dashboards and AI Jannick Reymann Ravnborg,
Vicky Poulsen		 source
presentation source		 5
PHUSE EU 2025 Contributions to CAMIS PHUSE Project in 2025: Tobit Regression, Reference-based Multiple Imputation and Tipping Point Analysis Yannick Vandendijck source
presentation source		 12
PHUSE EU 2025 Embracing the Fear of Change in an Ever-Changing Industry Wilri Mackay source
presentation source		 4
PHUSE EU 2025 End-to-End R: Where To Start? Luke Thompson source
presentation source		 6
PHUSE EU 2025 From Programming Zero to programming Hero, how an internship shapes future programmers in a CRO Marie Poupelin source
presentation source		 4
PHUSE EU 2025 gridify: Enrich Figures and Tables with Custom Headers and Footers Maciej Nasinski,
Alexandra Wall		 source
poster source		 10
PHUSE EU 2025 How to Identify and Operationalize GenAI Use Cases Which Really Help You Christoph Bergen,
Luis Wirth		 source
presentation source		 8
PHUSE EU 2025 Human in or Human out of the Loop: Impact and Things To Consider While Deploying AI Olivier Bouchard source
presentation source		 8
PHUSE EU 2025 Plunging into Pools: Dive into a Comparative Analysis of Pooled TLFs with R Sophie Khan source
poster source		 9
PHUSE EU 2025 Poseidon: Streamlined Regulatory Screening of HA Websites with AI/ML to Extract Updates and Reduce Manual Efforts Maria Giovanna Zilli,
Fabian Wahren		 source
presentation source		 8
PHUSE EU 2025 Succeed with gridify: Enriching R Visualisations for Regulatory Submissions Alexandra Wall,
Jennifer Winick-Ng		 source
presentation source		 10
PHUSE EU 2025 The Power of Early Careers: Investing in the Next Generation Miles Almond,
Jun Se Kim		 source 13
PHUSE EU 2025 Twice as Much Aint Twice as Good: Is Double Programming Really the Gold Standard We Think it Is? Vitali Gering source
presentation source		 6
MWSUG 2025 Advancing Research in Rare Disease Using SAS Viya [presentation] Kelly Olano,
Pierce Kuhnell,
Laurie Smith		 source 18
SESUG 2025 Lazy Evaluation: A Comparative Analysis of SAS MACROs and R Functions Chen Ling 6
WUSS 2025 R Made Easier for SAS Programmers Sunil Kumar Gupta source 4
WUSS 2025 Reach for R Low Hanging Fruit for Faster Results Sunil Kumar Gupta source 4
PharmaSUG 2025 A Game Changer for Efficient SAS Programming using ChatGPT Jyoti (Jo) Agarwal source 11
PharmaSUG 2025 Achieving Reliable Data Verification with R: Proven Tools, Best Practices, and Innovative Workflows Valeria Duran,
Xuehan (Emily) Zhang		 source 15
PharmaSUG 2025 AI Performing Statistical Analysis: A Major Breakthrough in Clinical Trial Data Analysis Toshio Kimura,
Siqi Wang,
Weiming Du,
Songgu Xie		 source 11
PharmaSUG 2025 An End-to-End Workflow for TFL Generation using R: MMRM Applications and Comparative Insights with SAS Kai Lei,
Jiaqiang Zhu,
Margaret Huang		 source 14
PharmaSUG 2025 Building Resilient Teams Patrick Grimes,
Sajin Johnny		 source 15
PharmaSUG 2025 Code Switching: Parallels Between Human Languages and Multilingual Programming Danielle Stephenson,
Laura Mino		 source 10
PharmaSUG 2025 Empowering the Next Generation of Professionals: Merck-s Approach to Rising Talent Engagement and Leadership Development in Statistical Programming Aston Smith,
Sarah Alavi,
Jeff Xia,
Tarak Patel		 source 7
PharmaSUG 2025 Generative AI in Biometrics: Transforming Clinical Trials with Supercharged Efficiency an Innovation Kevin Lee source 6
PharmaSUG 2025 Optimized Resourcing Strategies in Statistical Programming within CROs and Considerations for AI Integration in Resource Management Vihar Patel source 10
PharmaSUG 2025 Reach for R Low Hanging Fruit for Faster Results Sunil Kumar Gupta source 4
PharmaSUG 2025 Strategies for Thriving During Change and Uncertainty Maria Dalton source 5
PharmaSUG 2025 Unlocking Success: Lessons from Building R-Based Statistical Packages in Pharma Sydney Hyde,
Yirong Cao		 source 9
PHUSE US 2025 Actual Intelligence and Artificial Intelligence Joining Forces to Perform Statistical Analysis, Turning AI Hype into Reality Songgu Xie,
Toshio Kimura		 source
presentation source		 11
PHUSE US 2025 Adapting Leadership in Statistical Programming: Navigating Technological Advancements and Evolving Roles in the Pharmaceutical Industry Jaya Mukkamala source
presentation source		 2
PHUSE US 2025 Big Data Analytics: Unlocking Insights from Vast Clinical Datasets Bill Qubeck,
Kala Shivalingaiah		 source
presentation source		 16
PHUSE US 2025 Can AI Help Overcome the Validation Burden for Open Source? Marc Jantke source
presentation source		 8
PHUSE US 2025 Data Quality in Pooled Studies: Overcoming Challenges and Ensuring Accuracy Monika Ludwinska source
presentation source		 11
PHUSE US 2025 Enhancing Pharmaceutical Quality Assurance Through Large Language Models: A Novel Approach to Intelligent Regulatory Monitoring Jake Gagnon,
Hangyu (Cedric) Liu		 source
presentation source		 11
PHUSE US 2025 Ensuring Data Integrity: A Three Step Approach to Clinical Dashboard Validation River Meckstroth source
presentation source		 7
PHUSE US 2025 From Frozen to Fluid: How the {slushy} R Package Meets the Unique Needs of Study Teams Becca Krouse source
presentation source		 3
PHUSE US 2025 Improvement on Sankey Diagram SAS Macro and Implementation Alvin Mathew source
presentation source		 8
PHUSE US 2025 LLMs in Drug Development - The Future is Closer Than We Think Chris McSpiritt source
presentation source		 9
PHUSE US 2025 Mapping OMAP Data to SDTM - Use Case for RWD in CAR-T Registry Studies Kai Deng,
Joe Xi		 source
presentation source		 5
PHUSE US 2025 Optimising AI Software for Automated Protection of Personal and Commercially Sensitive Data Honz Slipka source
poster source		 7
PHUSE US 2025 R Package Risk Assessment: Balancing Programmatic and Human Input Chelsea Dickens source
presentation source		 4
PHUSE US 2025 Revolutionising Clinical Trials: Gen AI-Powered Biometrics Breakthroughs Kevin Lee source
presentation source		 6
PHUSE US 2025 Spot-It: A Shiny Application for Visual QC at Scale Samiar Ashtiany,
Pravin Lakkaraju		 source
presentation source		 13
PHUSE US 2025 Transforming Clinical Trials: Leveraging Bayesian Statistics in Innovative Trial Design, Analysis, Applications and Navigating Challenges Jaskaran Singh Saini source
presentation source		 11
PHUSE US 2025 Transforming Pharma Master Data Management: Integrating Neo4j Knowledge Graphs with GraphRAG and Generative AI for Enhanced Data Querying and Analytics Sanjeev Kumar,
Sanjay Koshatwar		 source
presentation source		 7
PHUSE US 2025 Unleashing the Power of {teal}: New Features and Cross-Industry Collaboration Nina Qi,
Dony Unardi		 source
presentation source		 6
PHUSE EU 2024 Attracting Young Talented Programmers to the Pharmaceutical Industry in a Post-COVID World: Adapting to the Evolving Working Landscape Lewis Turner source
poster source		 8
PHUSE EU 2024 Exploring the Strengths and Challenges of Neurodiversity Within the Pharmaceutical Industry Melis Blackford source
poster source		 2
PHUSE EU 2024 From Contributor to Leader: How Open Source Nurtures Innovative Leadership Mark Bynens source
presentation source		 9
PHUSE EU 2024 Maximising GitHub APIs: A Journey to Open-Source Metrics Alanah Jonas source
presentation source		 10
PHUSE EU 2024 Navigating the Data Storm: Strategic Mastery for Sustaining Technical Excellence Amid Industry Shifts Mahdi About source
presentation source		 8
PHUSE EU 2024 R Evolution: A Guide for Training SAS Programmers Michael Walshe source
presentation source		 10
PHUSE EU 2024 Stop Chatting, Start Scanning: AI's Visual Takeover in Pharma for Data Extraction with the Power of LLMs Ercan Suekuer source
presentation source		 3
PHUSE EU 2024 The Open SCE: A Call to Action One Year Later Caroline Phares,
Pascal Bouquet		 source
presentation source		 6
PHUSE EU 2024 Why Are Old Wines Sometimes Tastier Than New Ones? Lars Andersson,
Henning Pontoppidan Föh		 source
presentation source		 10
PHUSE EU 2024 {admiralvaccine} Project JouRney Federico Baratin,
Michael S Rimler		 source
presentation source		 8
WUSS 2024 Navigating Career Crossroads: From Statistical Manager to Entrepreneur Iuliana Constantin source 8
PharmaSUG CN 2024 Best practice of industrial code collaboration Joe Zhu source 6
PharmaSUG 2024 AutoSDTM Design and Implementation With SAS Macros Chengxin Li source 10
PharmaSUG 2024 Define-XML Conversion: A General Approach on Content Extraction Using Python Danfeng Fu,
Dickson Wanjau,
Ben Gao		 source 15
PharmaSUG 2024 LLM-Enhanced Training Agent for Statistical Programming Jason Zhang,
Jaime Yan		 source 8
PharmaSUG 2024 Opportunities and Challenges for R as an open-sourced solution for statistical analysis and reporting, from vendor's perspective Peng Zhang,
Lizhong Liu,
Tai Xie		 source 8
PharmaSUG 2024 Validating R for Pharma - Streamlining the Validation of Open-Source R Packages within Highly Regulated Pharmaceutical Work Juliane Manitz,
Anuja Das,
Antal Martinecz,
Jaxon Abercrombie,
Doug Kelkhoff		 source 6
PHUSE US 2024 Choose Your Own Adventure: A Data Story Jiwan Heo source
presentation source		 10
PHUSE US 2024 Developing Leadership, Fostering Collaboration and Building Perspective Through External Communities Harper Forbes source
presentation source		 2
PHUSE US 2024 Empowering Excellence: Strategies for Cultivating a Culture of Bold Decision-Making in Teams Mark Bynens source 8
PHUSE US 2024 Expanding Collaboration and Innovation in R&D: Leveraging the Power of Open-Source Tools Ellis Hughes source
presentation source		 3
PHUSE US 2024 Organisational Considerations When Replacing or Adding a New Software Language Brian K. Varney source
presentation source		 4
PHUSE US 2024 Revolutionising Informed Consent Form Analysis with Generative AI: Enhancing Efficiency in Drug Development and Data Re-Use Hangyu (Cedric) Liu source
presentation source		 11
PHUSE US 2024 The TransCelerate/CDISC Digital Data Flow Project: Practical Electronic Study Designs [presentation] David Iberson-Hurst source 28
PHUSE US 2024 Usage of OMOP-CDM along with CDISC in Clinical Trials: Challenges and Opportunities Parag Shiralkar source
presentation source		 5
PHUSE EU 2023 A Green CRO - Why We Should All Be on a Journey of Continuous Improvement Jessica Hirsch source
presentation source		 4
PHUSE EU 2023 Comparing Analysis Method Implementations in Software (CAMIS): An Open Source Repository to Document Differences in Statistical Methodology Across Software Christina Fillmore source
presentation source		 7
PHUSE EU 2023 End-to-End Open-source Collaboration Guidance James Black,
Michael Stackhouse		 source 23
PHUSE EU 2023 Generative AI: A Case Study Highlighting the Potential and the Risks Nikolay Manchev,
Michael Harnish		 source
presentation source		 23
PHUSE EU 2023 Harmonising Clinical Reporting Through the {falcon} Initiative: A Collaborative Leap Forward Jürgen Böhl,
Vincent Shen		 source
presentation source		 3
PHUSE EU 2023 Heart: The Must-Have for a Good Project Colin Brown source
presentation source		 6
PHUSE EU 2023 How to Get Started in Pharma and How We Can Help Those Starting Out [poster] Saskia Leserer,
Lara Suckut		 source 1
PHUSE EU 2023 InnerSource: A Stepping Stone Towards Open Source in Statistical Programming Jeppe Juul source
presentation source		 3
PHUSE EU 2023 Mr. ight - Why R Should Be Used for Validating TLFs in Clinical Trials? Monika Ludwinska source
presentation source		 10
PHUSE EU 2023 Navigating Unprecedented Challenges: Journey Through a Pandemic and International Conflict Daniil Shliakhov source
presentation source		 4
PHUSE EU 2023 Oak Garden - Metadata-Driven SDTM Automation in R Magdalena Krochmal,
Amy Franklin		 source
presentation source		 7
PHUSE EU 2023 Regulating the Future: Navigating the Complexities of 3D Printing in the Pharmaceutical Industry Burger Lubbe source
presentation source		 10
PHUSE EU 2023 Revolutionising Data Exploration: An Interactive Journey Through R Shiny [presentation] Valentin Legras source 30
PHUSE EU 2023 SAS Macro Development Using ChatGPT Karma Tarap source
presentation source		 8
PHUSE EU 2023 Statistical Programming 101 for the Fourth Industrial Revolution Ritika Aggarwal source
presentation source		 10
PHUSE EU 2023 The Evolving Role of Statistical Programmers in the Pharmaceutical Industry: The Impact of Artificial Intelligence Cindy Marabotti source
poster source		 8
PHUSE EU 2023 The TransCelerate/CDISC Digital Data Flow Project: Practical Electronic Study Designs [presentation] David Iberson-Hurst source 28
WUSS 2023 Another Glance at Good Programming Practice from the Perspective of FDA Reviewers Hongbo Li source 6
PharmaSUG 2023 Admiralonco - The Cross-Company R Package for Oncology Admirers Neharika Sharma,
Matthew Marino		 source 25
PharmaSUG 2023 Exploring the use of AI-based image recognition and Machine Learning to Improve the Efficiency and Accuracy of TLFs Validation Process. Mor Ram-On,
Ilan Carmeli		 source 5
PharmaSUG 2023 Metaverse in the Healthcare - More Real than imagined! Aman Bahl source 14
PharmaSUG 2023 Revolutionizing Statistical Outputs Validation: a Product Demonstration of Verify, an ML-powered Automation Solution Streamlining the Validation Process Ilan Carmeli source 11
PHUSE US 2023 An Open-Sourced R Package for Streamlining Generation of Standard TLFs in Both Static and Interactive Formats [presentation] Lena Wang,
Heng Wang		 source
video		 25
PHUSE US 2023 Approachable and Scalable Web Application Solutions Using Shiny for Python and R Shiny in the Pharmaceutical Industry Vikash Jain,
Denny Sebastian		 source
presentation source		 9
PHUSE US 2023 Automation of ADaM Dataset & TFL Visualization Through an R Package - GenAdam2 Mahesh Divakaran source
presentation source		 5
PHUSE US 2023 Up-to-Date with Dates - Imputation Rules in R Compared to SAS Monika Ludwinska source
presentation source		 10
PHUSE EU 2022 Bioresearch Monitoring Data Reviewer's Guide (BDRG) [presentation] Jack Field,
Steve Fitzpatrick		 source
video		 20
PHUSE EU 2022 Capability Building is the New Normal in the Pharmaceutical Industry Jaganadha Rao Gundu,
Sreekar Mateti		 source 8
PHUSE EU 2022 Harnessing Routinely Generated git, github and Package-specific Metadata to Build a Portal into Open-source Projects [presentation] Mathieu Cayssol,
James Black		 source
video		 18
PHUSE EU 2022 How Can We Integrate New Technology and Maintain Data Integrity? Shafi Chowdhury source
presentation source		 4
PHUSE EU 2022 How to Evolve as an Experienced Programmer, Present and Future, Leaving No One Behind [poster] Bal Toora source 1
PHUSE EU 2022 R Shiny to Drive Automation in Clinical Analysis and Reporting [poster] Jocelyn Wang,
Goutham Ghanta		 source 1
PHUSE EU 2022 Who is Subject X? [presentation] Vicky Poulsen,
Henning Pontoppidan Föh		 source
video		 26
WUSS 2022 Learn the Basics About the Pharmaceutical Industry in 20 Minutes Jim Box,
Matthew J. Becker		 source 3
WUSS 2022 Quick Jumpstart into Pharmaceutical SAS Programming Jim Box,
Matthew J. Becker		 source 7
PharmaSUG 2022 Empower Your Programmers: Get the Most from Your Programming Team Carol Matthews source 8
PHUSE US 2022 B Corp Accreditation in the Pharmaceutical Industry: What Is It and Why Is It Important for Business? [presentation] Andrew Horden,
Stuart McGuire		 source
video		 10
PHUSE US 2022 Pan-pharma Industry Collaboration - New Horizon, Success Stories [presentation] Tadeusz Lewandowski source
video		 21
PHUSE US 2022 The Bioresearch Monitoring Data Reviewer's Guide (BDRG) [presentation] Julie Maynard,
Sopan Dharma Kaith		 source 25
PHUSE EU 2021 Automated Testing of the Programming Workflow Using Cypress [presentation] Darwin Hadley source
video		 15
PHUSE EU 2021 Code Sharing is Caring [presentation] Lucy Palmen source
video		 16
PHUSE EU 2021 How to Grow as a Programmer in the Pharmaceutical Industry [presentation] Julie Barré source
video		 22
PHUSE EU 2021 Transition Probability for Analysis of COVID Test Positivity Ra [presentation] Hrishikesh K S,
Limna Salim		 source
video		 10
PHUSE US 2021 Digitalization, Agile Mindset and Virtual Collaboration - Yet Delivering a "Pile of Paper"? [presentation] Jesper Zeth,
Parag Wani		 source
video		 17
PHUSE US 2021 DSc Panel Discussion: How Data Scientists are Transforming the Biometrics Organization [presentation] Asha Mahesh,
Christopher J. Colangelo		 source
video		 9
PHUSE US 2021 Managing TFL Development in LSAF 5.3 Using SAS and R Code [presentation] Jean-Marc Ferran,
Stijn Rogiers		 source
video		 33
PHUSE US 2021 Next Evolution Step(s) for Statistical Programmers: "Clinical Data Scientist" or "Clinical Data Analytics Engineer"? [presentation] Amar Mahidadia,
Sascha Ahrweiler		 source
video		 16
PHUSE US 2021 Open-Source Development for Traditional Clinical Reporting [presentation] Michael Stackhouse,
Nathan Kosiba		 source
video		 12
PHUSE US 2021 Taking better control of ODS outputs using ODS TAGSETS Kamleshkumar Patel source
video
presentation source		 9
PharmaSUG 2021 Containers You Can Count On: A Framework for Qualifying Community Container Images Eli Miller source 4
PharmaSUG 2021 How I became a Machine Learning Engineer from a Statistical Programmer Kevin Lee source 4
PharmaSUG 2021 Macro to Compare Titles and Footnotes in Produced TLF and Corresponding Shells Igor Goldfarb,
Ella Zelichonok		 source 26
PharmaSUG 2021 Virtual Recruitment and Onboarding of Mapping Programmers during Covid 19- Merck-s RaM Mapping Experience Srinivasa Rao Mandava source 3
PHUSE EU 2020 Agile Software Development of R Shiny Programs with Open-source Tools [presentation] Sven Prasse source
video		 20
PHUSE EU 2020 Let food be thy medicine and medicine be thy food Fatima Kassim source
video
presentation source		 8
PHUSE EU 2020 Principles and Governance Towards the Ethical Use of Data and AI in the Pharmaceutical Industry [presentation] Margi Sheth source
video		 17
SGF 2020 Finding Your Seat at the Table William Coar source 14
SGF 2020 Statistical Programming in the Pharmaceutical Industry: Advancing and Accelerating Drug Development Harper Forbes source 10
PharmaSUG 2020 Macro To Produce Sas-Readable Table Of Content From Tlf Shells Igor Goldfarb,
Ella Zelichonok		 source 18
PharmaSUG 2020 Microsoft OneNote: A Treasure Box for Managers and Programmers Jeff Xia source 8
PharmaSUG 2020 SAS Migration from Unix to Windows and Back Valerie Williams source 9
PHUSE US 2020 Are There Any Better Options than SAS for TFLs? Yes, There R! Niccolo Bassani source
presentation source		 8
PHUSE US 2020 CDISC Implementation Primer Bess LeRoy,
Rebecca Baker		 source 5
PHUSE US 2020 Evolution of Clinical Data Disclosure and Transparency Sneha Paradkar source
presentation source		 8
PHUSE US 2020 Good Cooperation Between SAS and R for Regulatory Submission Jingyuan Chen source
presentation source		 8
PHUSE US 2020 Improving the Attractiveness of a CRO Career: The PHUSE CRO Summit Christopher C. Hurley,
Jeffrey M. Abolafia		 source
poster source		 6
PHUSE US 2020 Is R language reliable and efficient tool for programming SAS datasets or just art for art's sake? Piotr Podlewski source
presentation source		 9
PHUSE US 2020 Making the Invisible, Visible: People, Ideas and Conferences Gayathri Kolandaivelu source
poster source		 6
PHUSE US 2020 Reproducible Open-source Environments for Advance Analytics Sean Lopp source
presentation source		 3
PHUSE EU 2019 An Automation Proof of Concept of Periodic Reporting via R Shiny Nicholas Masel source
presentation source		 7
PHUSE EU 2019 An Efficient Way to Combine RTF Files and Create Multi-Level Bookmarks and a Hyperlinked TOC Lugang Larry Xie,
Lee Armishaw		 source
presentation source		 5
PHUSE EU 2019 An Introduction to Python: The SAS Programmer's Guide Bradley Harris source
presentation source		 8
PHUSE EU 2019 Building a F.A.I.R. Foundation for Pharma: The PHUSE GoingTWLD Project Tim P. Williams,
Armando Oliva		 source
presentation source		 5
PHUSE EU 2019 Linked Data URIs [poster] Kerstin Forsberg,
Johannes Ulander		 source 1
PHUSE EU 2019 Our Industry: Technology-driven or Driven by Technology? Faheeza Rangunwala source
presentation source		 9
PHUSE EU 2019 Symbolic Regression: Survival of the Best Fit Hector Leitch source
presentation source		 9
PHUSE EU 2019 The Importance of Sleep and How Best to Measure It [presentation] Neil Stanley source 122
PHUSE EU 2019 Validate the validated: A python script for study leads to review clinical outputs Varaprasad Ilapogu source
presentation source		 6
WUSS 2019 Validate the validated: A python script for study leads to review clinical outputs Varaprasad Ilapogu source 6
PharmaSUG 2019 A Simple SAS Utility to Combine Existing RTF Tables/Figures and Create a Multi-level Bookmark Hierarchy and a Hyperlinked TOC Lugang Larry Xie source 9
PharmaSUG 2019 Effective Marketing and Selling Yourself through Social Media Tara Potter source 10
PharmaSUG 2019 Innovative Technologies utilization in 21st Novel Clinical Research programs towards Generation of Real World Data. Srinivasa Rao Mandava source 6
PharmaSUG 2019 Next Innovation in Pharma - CDISC data and Machine Learning Kevin Lee source 5
PharmaSUG 2019 The Anatomy of Clinical Trials Data: A Beginner's Guide Venky Chakravarthy source 14
PharmaSUG 2019 Throw Away the Key: Blockchain-ed Healthcare Data Kathy Zhai source 5
PharmaSUG 2019 Time to COMPARE Programmer to Analyst: Examine the Differences and Decide Best Path Forward Ginger Barlow,
Carol Matthews		 source 8
PHUSE US 2019 An Overview of the PHUSE ML/AI Working Group Project Sairam Gorthi,
Kevin Lee		 source
presentation source		 4
PHUSE US 2019 R Markdown for Reproducible Research Cole Arendt source
presentation source		 15
PHUSE US 2019 Submission of Software Programs to Regulatory Agencies Maria Dalton source
presentation source		 10
PHUSE EU 2018 Data Engineering Project (Educating for the Future PHUSE Working Group) Guy R. Garrett,
Bev Hayes		 source
presentation source		 14
PHUSE EU 2018 Guideline for Submission-ready aCRF Christina Paul,
Eva Bervar		 source
poster source		 5
PHUSE EU 2018 Introduction to Machine Learning Nicolas Dupuis,
Kevin Lee		 source
presentation source		 9
PHUSE EU 2018 Overcoming Resistance to Technology Change: A Linked Data Perspective Tim P. Williams source
presentation source		 8
PHUSE EU 2018 You'll Have to Check My Calendar: A Newbie's Insights into the World of Pharma Rohan Palanganda source
presentation source		 5
MWSUG 2018 Toward Adoption of Agile Software Development in Clinical Trials Troy Martin Hughes 7
WUSS 2018 Machine Learning - Why we should know it and how it works Kevin Lee source 8
PHUSE US 2018 Building Efficient Programming Teams Using RStudio with Git in Pharmaceutical Industry James J. Kim source
presentation source		 9
PHUSE US 2018 Evaluating how Blockchain can Transform the Pharmaceutical and Healthcare Industry Disa Lee Choun,
Jim Nasr		 source
presentation source		 9
PHUSE US 2018 Mine the Gap: How the Role of Data Scientist Fills a Need in the Pharmaceutical Industry Michael S Rimler,
Jorine Putter		 source
presentation source		 8
PharmaSUG 2018 AGING MAN_AGEMENT or millennial TECH_AGEMENT - road ahead for organizations Charan Kumar K J source 12
PharmaSUG 2018 Machine Learning - Why we should know and How it works Kevin Lee source 8
PharmaSUG 2018 Reflections on a Career in Clinical/Statistical/SAS Programming (35+ Years in the Making) Alan Meier source 6
PharmaSUG 2018 Statistical Programming: Revolution, Evolution, or Status Quo? Jeffrey M. Abolafia,
Frank C. DiIorio		 source 9
PharmaSUG 2018 Validating R - Part of the Uphill Battle in the Pharmaceutical Industry Peter Schaefer,
Debra Fontana		 source 10
SGF 2018 The Anatomy of Clinical Trials Data: A Beginner's Guide Venky Chakravarthy source 14
PHUSE EU 2017 Ahead of the Curve: Leading with Industry Data Requirements Nancy Haeusser source
presentation source		 8
PHUSE EU 2017 Approach to EMA Policy 0070 - From Data Science Perspective Jorine Putter source
presentation source		 6
PHUSE EU 2017 Breaking the Mould: Clinical Trials Data as RDF Tim P. Williams,
Armando Oliva		 source
presentation source		 6
PHUSE EU 2017 Can Everyone Can Read Maps! Plotting Your Career Path and Preparing for the Terrain Diana Stuart source
presentation source		 6
PHUSE EU 2017 Connected Trials Abi Velurethu source
presentation source		 10
PHUSE EU 2017 EMA Policy 0070: Data Utility in Anonymized Clinical Study Reports (CSRs) Jean-Marc Ferran,
Sarah Nevitt		 source 23
PHUSE EU 2017 How a Metadata Repository can Facilitate Automated Data Collection Processes Judith Goud source
presentation source		 8
PHUSE EU 2017 SDTM Domains by Query - is it Possible? Johannes Ulander source
presentation source		 8
PHUSE EU 2017 Statistical End User Tool Development Mickael Borne source
presentation source		 15
PharmaSUG 2017 A Business Solution for Improved Drug Supply Chain Visibility David Butler,
Joy King,
Ronald Chomiuk,
Richard Neafus		 source 9
PharmaSUG 2017 Ahead of the Curve: Leading with Industry Data Requirements Maria Dalton,
Nancy Haeusser		 source 17
PharmaSUG 2017 Good Programming Practices at Every Level Maria Dalton source 6
PharmaSUG 2017 In-Licensing from a Programming Perspective Asif Karbhari source 5
PharmaSUG 2017 Single File Deliverables: Next Steps Bill Coar source 19
PharmaSUG 2017 The Cross Border Program - Strengthening the Sponsor-Partner Offshore Experience Kenneth Bauer,
Girish Havildar		 source 5
SGF 2017 Quality Control Programming: A Lost Art? Amber Randall,
Bill Coar		 source 15
PHUSE EU 2016 A Standardised Approach to De-identification Christopher C. Hurley source
presentation source		 13
PHUSE EU 2016 Adventures in Data Science Kieran Martin source 9
PHUSE EU 2016 Data Sharing 3 Years on - From Baby to Toddler... Katherine Tucker source
presentation source		 10
PHUSE EU 2016 Get Kitted Out - A Practical Guide to SAS Certifications, MOOCs and Hands-on Experience Hannes Engberg Raeder source 6
PHUSE EU 2016 How to Enjoy Working in Virtual Teams Petra Auclair,
Antje Rossmanith		 source
presentation source		 4
PHUSE EU 2016 ValidR Enterprise: Developing an R Validation Framework Andy Nicholls source
presentation source		 11
PHUSE EU 2016 Why Programmers Make the Best Functional Leads: Do Statisticians Really Know Best? Tom Ward source
presentation source		 5
WUSS 2016 Combining Reports into a Single File Deliverable Bill Coar source 15
PharmaSUG 2016 Career Path for SAS Profession in Pharmaceutical Industry James Meiliang Yue source 2
PharmaSUG 2016 Combining TLFs into a Single File Deliverable William Coar source 15
PharmaSUG 2016 Go Compare: Flagging up some underused options in PROC COMPARE Michael Auld source 14
PharmaSUG 2016 The Hadoop Initiative: Supporting Today's Data Access and Preparing for the Emergence of Big Data Michael Senderak,
David Tabacco,
Robert Lubwama,
David O'Connell,
Matt Majer,
Bryan Mallitz		 source 9
SGF 2016 PROC IMSTAT Boosts Knowledge Discovery in Big-Database (KDBD) in a Pharmaceutical Company Yoshitake Kitanishi,
Ryo Kiguchi,
Akio Tsuji,
Hideaki Watanabe		 source 7
PHUSE EU 2015 Future Drug Applications with No Tables, Listings and Graphs? Kirsten Langendorf source
presentation source		 5
PHUSE EU 2015 Graphics in R - A Shiny Way to Program Carolyn Nixon source
presentation source		 12
PHUSE EU 2015 The Evolution of Computing in Clinical Research: Past, Present and Future Mark Weadon source
presentation source		 6
PHUSE EU 2015 The Rewarding (and Rocky) Road from SAS Applications Programmer to SAS Software Developer Jeffrey M. Abolafia,
Carrie Dundas-Lucca		 source
presentation source		 8
PHUSE EU 2015 The Vision of Clinical Data Science - Where will we be in 2025? [presentation] Sam Warden,
Chris Price		 source 17
PharmaSUG CN 2015 SAS End-to-End solutions in Clinical Trial Emma Liu 17
PharmaSUG 2015 Clinical knowledge helps SAS programmers in the pharmaceutical industry get job done better Yingqiu Yvette Liu source 4
PharmaSUG 2015 Development of a Clinical SAS University Training Program in Eastern Europe Erfan Pirbhai,
Sergey Glushakov		 source 7
PharmaSUG 2015 Enhancing Infrastructure for Growth Amber Randall,
William Coar		 source 5
PharmaSUG 2015 Managing the Evolution of SAS Programming Carey G. Smoak source 4
PharmaSUG 2015 Toward Adoption of Agile Software Development in Clinical Trials Troy Martin Hughes source 7
SGF 2015 Enhancing Infrastructure for Growth [presentation] Amber Randall source 8
PHUSE EU 2014 Life as a New Programmer Jeremy Gallien source
presentation source		 3
PHUSE EU 2014 Technology Trends with the Potential to Change Clinical Development Christopher R. Olinger source
presentation source		 5
PHUSE EU 2014 The Quality System in Good Pharmacovigilance Practice (GVP) Veronique Chapalain source
presentation source		 9
PharmaSUG CN 2014 Extend SAS by R Derek Li,
Helen Wu		 5
WUSS 2014 Enhancing Infrastructure for Growth [presentation] Bill Coar,
Amber Randall		 7
PharmaSUG 2014 Call me Maybe? Using LinkedIn to make sure you get the call for the job Tara Potter,
Adel Lesniak		 source 2
PharmaSUG 2014 Switching from PC SAS to SAS Enterprise Guide Zhengxin (Cindy) Yang source 13
PharmaSUG 2014 The New Tradition: SAS Clinical Data Integration Vincent J. Amoruccio,
Janet E. Stuelpner		 source 18
PharmaSUG 2014 Was Dorothy Right: Is There No Place Like Home? Kjersten Offenbecker source 6
PharmaSUG 2014 What is the Definition of Global On-Demand Reporting within the Pharmaceutical Industry? Eric Kammer source 8
WUSS 2013 Flexible Code: How Not to Get Stuck in a "Maze of twisty little passages, all alike" Paul D. Hamilton source 6
WUSS 2013 Generation of Subset Listings William Coar source 13
PHUSE EU 2013 CARE to CRaM Greg Fuller source
presentation source		 16
PHUSE EU 2013 Hey You! Or to Whom it May Concern Kathryn Wright source 6
PHUSE EU 2013 My Big Data Experience - Getting my Feet Wet in the PUddle and Still Treading Water 2 Years Later Robert Walls source
presentation source		 10
NESUG 2013 Merging SAS Programming Groups: Phased-in Approach Margaret M. Coughlin,
Alfredo Rojas		 5
PharmaSUG 2013 Be a Dead Cert for a SAS Cert: How to prepare for the most important SAS Certifications in the Pharmaceutical Industry Hannes Engberg Raeder source 10
PharmaSUG 2013 Deployment of SAS Programming Contract Staff: Pathway to Sinkhole or Best Strategy for Programming Division? Parag Shiralkar source 5
PharmaSUG 2013 Doing the hashwork: Using the DATA step hash object to perform common clinical programming chores Miles Dunn source 9
PharmaSUG 2013 Transition from "hands-on" statistical programmer to leader of a team of role based statistical programmers. Tools and tips to help you succeed. Rodrigo Juarez y Ruiz source 9
NESUG 2012 Interesting Technical Mini-Bytes of Base SAS - From DATA Step to Macros Airaha Chelvakkanthan Manickam 13
NESUG 2012 Quality Assurance: Best Practices in Clinical SAS Programming Parag Shiralkar 8
PHUSE EU 2012 iTeam: Having a Voice of Opinion Mijanur Rahman source
presentation source		 4
PHUSE EU 2012 Testing in the Cloud. Not Just for the Birds, but Monkeys Too Geoff Low source
presentation source		 7
PHUSE EU 2012 The Power of PROC SQL Amanda Reilly source
presentation source		 9
PharmaSUG 2012 Could Have, Would Have, Should Have! Adopting Good Programming Standards, Not Practices, to Survive An Audit. Vincent J. Amoruccio source 17
PharmaSUG 2012 Interesting Technical Mini-Bytes of Base SAS - From DATA Step to Macros Airaha Chelvakkanthan Manickam source 13
SGF 2012 Interesting Technical Mini-Bytes of Base SASFrom DATA Steps to Macros Airaha Chelvakkanthan Manickam source 13
WUSS 2011 Helping Students Become Effective Industry Statisticians: Supplementing Science with Data Savvy Aleksandra Stein source 5
WUSS 2011 SAS Macros for the Working Statistician William Krebs source 9
PHUSE EU 2011 A Career in the Pharmaceutical Industry James McDermott source
presentation source		 10
PHUSE EU 2011 A is for Acronym! Alex Hughes source
presentation source		 4
PHUSE EU 2011 Critical Path Learning - How to Develop Top Level SAS Programmers Paolo Morelli source
presentation source		 4
PHUSE EU 2011 Go Compare: Flagging up some underused options in PROC COMPARE Michael Auld source
presentation source		 13
PHUSE EU 2011 How do we ensure the programmer we have today will meet the business needs of tomorrow? Christine Leigh,
Karen Rowe		 source
presentation source		 8
PHUSE EU 2011 New Starter Models for Pharmaceutical companies and Clinical Research Organisations (CROs) Lovemore Gakava source
presentation source		 4
PHUSE EU 2011 SAS Data Management Studio David Smith source 4
PharmaSUG 2011 Helping Students Become Effective Industry Statisticians: Supplementing Science with Data Savvy Aleksandra Stein,
Steven R. Kirby		 source 5
PharmaSUG 2011 Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures Bohdana Ratitch,
Michael O'Kelly		 source 10
PharmaSUG 2011 Managing the Validation and Migration from SAS 9.13 to 9.2 on a New Server Carey G. Smoak,
Sy J. Truong		 source 4
PharmaSUG 2011 Success As a Pharmaceutical Statistical Programmer Sandra Minjoe,
Mario Widel		 source 7
NESUG 2010 Techniques for Managing Projects Outsourced to Offshore CRO Margaret M. Coughlin,
Hong Qi		 4
NESUG 2010 Using Google to Solve SAS Problems Michael Todd 13
PHUSE EU 2010 Initial Investment in CDISC Data Standards in Clinical Organisations Kenneth Stolzfus source 10
PHUSE EU 2010 Migrating a SAS Programming Environment to a Virtual Linux Server Dirk Spruck,
Judith Kanz		 source
presentation source		 9
PHUSE EU 2010 Qualities of a Project Manager Jon-Paul Mewes source
presentation source		 6
PHUSE EU 2010 The Innovative Medicines Initiative Knowledge Management [presentation] Ann Marie Martin source 50
PHUSE EU 2010 Theory U-Social Technology for Innovation Colin Brown source 5
PHUSE EU 2010 Using Data and Text Mining to drive Innovation David Smith source
presentation source		 6
PHUSE EU 2010 Validation Strategies for Report Objects and Programs - Challenges and Obstacles in a Risk Based World Christoph Ziegler,
Beate Hientzsch		 source
presentation source		 12
PharmaSUG 2010 CDASH Standards for Medical Device Trials: CRF Analysis Parag Shiralkar,
Jennie Tedrow,
Kit Howard,
Laura Fazio,
Daniela Luzi,
Rhonda Facile		 8
PharmaSUG 2010 Evolving role of statistical SAS programmers in the pharmaceutical industry Venkata Sekhar Bhamidipati,
Haiping Zhou		 5
PharmaSUG 2010 Pressures on SAS Programming Roles and their Evolution in the Competitive Global Environment Vijay Moolaveesala,
Mark Matthews		 3
PharmaSUG 2010 SAS Programmer's check list-Quick checks to be done before the statistical reports go off the SAS Programmer's table Thomas T. Joseph 7
PharmaSUG 2010 Searching for a Diamond in the Rough: Finding and Integrating SAS Programming Talent John Hotaling,
Lynn M. DiFinizio		 5
SGF 2010 Ive Got the Styles You Need Bob J. Hull source 4
SGF 2010 Reverse-Engineer a Reference Curve: Capturing Tabular Data from Graphical Output Brian P. Fairfield-Carter source 6
SGF 2010 Searching for a Diamond in the Rough: Finding and Integrating SAS Programming Talent Lynn M. DiFinizio,
John Hotaling		 source 5
PHUSE EU 2009 A Year in Pharma Gemma Bishop source 4
PHUSE EU 2009 Clinical DI Studio - will we need new MetaProgrammers? Simon Wilcock,
Sireesha Potula		 source
presentation source		 11
PHUSE EU 2009 Does a Sponsor Clinical Trial Reporting System Fit Into a Sponsor/CRO Alliance? Kerry Gordon,
John Salkeld		 source
presentation source		 22
PHUSE EU 2009 SBPOP - A Computational Tool Supporting Model Based Drug Development - Application to the Renin-Angiotensin System Bruno Bieth,
Henning Schmidt		 source
presentation source		 10
PHUSE EU 2009 Working Effectively in a Globally Dispersed Tea Gary Hearfield source 22
NESUG 2009 Techniques for Managing Projects Outsourced to Offshore CRO Hong Qi,
Margaret M. Coughlin		 4
SGF 2009 Practice Makes Perfect: Training and Performing in the Pharmaceutical Industry Sunil Kumar Gupta source 10
PHUSE EU 2008 Challenges and Opportunities of working with the Pharma industry - A BPO perspective K. V. Palanichamy,
Samidha Sawant		 source 7
PHUSE EU 2008 Developing a clinical reporting system collaboratively under an Open Source software license. Ann Marie Martin source 7
PHUSE EU 2008 The X-Factor - Recruiting the Best Rachel Bowman source 5
NESUG 2008 Transitioning to SAS Enterprise Guide Michael Todd 8
SESUG 2007 The SAS Community: How To Be a Part of It! Gary E. Schlegelmilch source 5
WUSS 2007 Validation Techniques in Clinical Trails Using SAS Enterprise Guide Venkata R. Darbha source 8
PHUSE EU 2007 A systematic review of PHUSE Angelo Tinazzi,
Anna Compagnoni		 source 5
PHUSE EU 2007 Validation of programs developed using SAS Nikos Tsokanas source 7
PharmaSUG 2007 Promotion Response Analysis in the Pharmaceutical Industry - Lessons to be Learned From Clinical Trials Methodologies Alejandro Jaramillo 12
PharmaSUG 2007 Tending the Fire: Interventions for Burn-Out Sandy Paternotte 6
PharmaSUG 2007 The Use of CDISC Standards in SAS from Data Capture to Reporting Andrew T. Fagan 21
PHUSE EU 2006 The Use of CDISC Standards in SAS from Data Capture to Reporting Andrew T. Fagan source 21
SESUG 2006 Creating Unique Digital Signatures using CRC32 Standard John Fulda source 9
WUSS 2006 Changing Careers to Become a SAS Programmer in the Biotech/Pharmaceutical Industry Sy J. Truong source 9
NESUG 2006 It's About Time! A Primer on Time-Slotting of Data Using SAS Maria Y. Reiss 13
PharmaSUG 2006 HIRE Power in the Pharmaceutical Industry Neil H. Howard 13
PharmaSUG 2006 Transforming Business Requirements into System Solutions Yongcun Zhang 10
SUGI 2006 Version Control on the Cheap. A User-Friendly, Cost-Effective Revision Control System for SAS Tim P. Williams source 10
PHUSE EU 2005 SAS Certification: Is it for You? Sarbjit Rai source 12
PHUSE EU 2005 Strategic recruitment of SAS Programmers: Wisdom or Folly? Katherine Hutchinson source 7
PHUSE EU 2005 The Developing Role of XML David Shannon source 12
PHUSE EU 2005 The European System for Monitoring Drug Safety, EudraVigilance Hans-Georg Wagner,
Olivier Simoen		 source 13
PHUSE EU 2005 Welcome to Dullsville!! The System Testing of SAS Macros James McGiffen source 4
NESUG 2005 A SAS Macro to Standardize Graphics Swarna Ramanjulu 4
PharmaSUG 2005 A Simple Solution for Managing the Validation of SAS Programs That Support Regulatory Submissions Tony Chang,
Dana Soloff		 6
PharmaSUG 2005 Pharmaceutical Programming: From CRFs to Tables, Listings and Graphs, a process overview with real world examples Mark Penniston 8
PharmaSUG 2005 Proc Telecommute Susan Bairnsfather,
Angela S. Ringelberg		 5
PharmaSUG 2005 Programming Tips and Examples for Your Toolkit, II John Morrill 12
PharmaSUG 2005 XML Basics for SAS Programmers Yong Li 5
WUSS 2004 Is Your Code Complex? Here's One Way to Tell Michael C. Harris source 8
WUSS 2004 SAS Programming for the Pharmaceutical Industry Brian C. Shilling,
Carol Matthews		 source 4
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 Using Cyclomatic Complexity to Determine Test Coverage for SAS Programs Michael C. Harris 5
SEUGI 2003 Introduction of a Balanced Scorecard in the Pharmaceutical Industry [presentation] Cron source 22
PharmaSUG 2003 A Programming Development Environment for SAS Programs Tim P. Williams 8
PharmaSUG 2003 An Useful Chart of the Global Assessment in Clinical Trials Zhongwei Zhou 4
PharmaSUG 2003 Benchmarking Forecasting Practices in the Pharmaceutical Industry Chaman L. Jain,
St. John's		 6
PharmaSUG 2003 CDISC: Why SAS Programmers Need to Know Victor Sun 4
PharmaSUG 2003 SAS Validation in the Pharmaceutical Industry Edward D. Helton 2
PharmaSUG 2003 Standardizing Data Processing and e-Publishing for the Pharmaceutical Industry Shawn Wang 6
SEUGI 2002 SAS Drug Development: Intelligent Research Management [presentation] Andrew T. Fagan source 18
PharmaSUG 2002 Adding a TIFF Preview to Encapsulated PostScript Graphics within the SAS System Gerhardt Pohl 4
PharmaSUG 2002 Using SAS ODS to Enhance Clinical Data Summaries: Meeting eSub Guidelines Steven Light,
Paul M. Gilbert		 6
SUGI 2002 "Haven't We Met Somewhere Before?" and Other Useful Lines (of Code) to Get to Know Their Data David Rucker source 5
SUGI 2002 Balanced Scorecards: The Integration Point between Enterprise Information and Performance Monitoring Donald J. Henderson,
Gary Young,
Ralph Mittl		 source 7
SUGI 2002 Is It Harder for a Pharmaceutical Company to Move from SAS V6.12 to V8.2 Than It Is to Qualify for the World Cup? Gary R. Kennedy source 4
SUGI 2002 Using SAS ODS to Enhance Clinical Data Summaries: Meeting eSub Guidelines Steven Light,
Paul M. Gilbert		 source 6
NESUG 2001 Data Transfers Across Diverse Platforms Denis Michel 5
NESUG 2001 Developing and Implementing Programming Standards Without Stifling Programmer Creativity Paul Doucette 5
SEUGI 2001 AstraZeneca's AWACS IntraNet: Remote sensing of the sales force [presentation] Johan Velema,
Willem Boersma		 source 27
SEUGI 2001 SAS & IUT of Vannes: 15 years of Partnership for Higher Competences in the Business Intelligence Economy [presentation] Ariane Liger-Belair Sioufi,
Jean Le Nouvel		 source 21
PharmaSUG 2001 A Method to Import, Process, and Export Arbitrary XML Files with SAS Michael C. Palmer,
Cecilia A. Hale		 4
SESUG 2000 Integrating SAS in Corporate IT John M. LaBore source 6
NESUG 2000 Data Mining of Market Knowledge in The Pharmaceutical Industry John J. Cohen,
C. Olivia Parr Rud		 4
NESUG 2000 New Technology, New Opportunities: XML and SAS Automate Statistical Tables Michael C. Palmer,
Cecilia A. Hale		 6
SEUGI 2000 From Infancy to Maturity: SAS/PH-Clinical Introduction at Fujisawa [presentation] Soren Kristiansen source 40
SEUGI 2000 What the future holds - e-Business in the pharmaceutical industry [presentation] Patrick O'Donoghue source 38
PharmaSUG 2000 Creating Documents that create themselves with SAS and XML TM Michael C. Palmer 4
SEUGI 1999 Application of data warehousing techniques in the pharmaceutical industry [presentation] Simon Warman-Freed source 37
SEUGI 1999 Overview of pharma technology process model components [presentation] Patrick O'Donoghue,
Tim Thompson		 source 40
PharmaSUG 1999 Data mining in The Pharmaceutical Industry John J. Cohen 4
SEUGI 1998 An introduction to the PH-Template Developer's Kit extension to SAS/PH-Clinical [presentation] Alan Reading source 15
PharmaSUG 1998 Some Aspects of Statistical Modeling to Develop a System for Pharmaceutical Industry Indicators Forecasting Alexander Visnevsky,
Covance Periappoval		 6
PharmaSUG 1998 Supporting the "Program-Analyze-Write-Review "Process with a Development Environment for Base SAS and the Macro Language Barry R. Cohen 6
PharmaSUG 1998 The Clinical Data Warehouse Peter Villiers 5
SUGI 1998 Supporting the "Program-Analyze-Write-Review "Process with a Development Environment for Base SAS and the Macro Language Barry R. Cohen source 6
MWSUG 1997 Empowering SAS Users through a Webpage on Your Intranet John M. LaBore 9
SESUG 1997 Developing International Electronic Data Exchange From Negotiations To Code William S. Calvert 8
SESUG 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer 10
SEUGI 1997 Following up production at Arjo Wiggins: an EIS data warehouse solution in a client/server environment Bernard Pirali,
Christian Leleux,
Eric Volcher		 source 10
SEUGI 1997 Understanding and enforcing standards to promote efficiency Meimei Ma,
Sandra D. Schlotzhauer		 source 9
PharmaSUG 1997 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg 9
PharmaSUG 1997 FDA Initiatives: Electronic Data Interchange (EDI) for Drug Safety Monitoring Bill Calvert 3
PharmaSUG 1997 SuperSASaPharmalisticTelecommutosis Eric C. Brinsfield 6
SUGI 1997 Empowering SAS Users through a Webpage on Your Intranet John M. LaBore source 6
SUGI 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer,
Bob Anschuetz		 source
WUSS 1996 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg source 9
PNWSUG 1996 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg 9
SEUGI 1996 How can the SAS System add business benefit to the Pharmaceutical Industry in the Electronic Drug Submission Process? David J. Shannon source 10
SUGI 1996 Choosing an Application Development Tool for Your CANDA Barry R. Cohen source 8
SUGI 1996 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg source 9
SUGI 1996 Fully Integrated Systems for Clinical Development in the PharmaceuticalIndustry Andrew Lawton source 3
NESUG 1995 The Choice of SAS Software as the Application Development Tool for Your CANDA Barry R. Cohen 9
WUSS 1995 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg source 9
SEUGI 1995 Data Warehousing and CANDA Concepts for Biometry Ulrich Burger source 7
SEUGI 1995 The SAS System for the Pharmaceutical Industry Patrick O'Dononghue source 6
SUGI 1995 ClinAccess: A Client/Server Approach to Clinical Trials Data Management and Regulatory Approval Martin J. Rosenberg source 7
SUGI 1995 The SAS System and Physician Data Daniel M. Plath,
Gail Kirby		 source 4
WUSS 1994 Importing SAS Graphic Files into WordPerfect Version 5.2 (Comparing Several Device Drivers to Determine which Produces the Best Results) Lori D. Griffin source 8
NESUG 1994 Dictonary Structure for SAS/PH-Clinical 2.0 Software and SAS/PH-Kinetics Software Martin F. Michael 7
NESUG 1994 Introducting SAS/PH-Clinical 2.0 Software Sandra D. Schlotzhauer,
Andrew T. Fagan,
Martin F. Michael		 13
NESUG 1994 Model-Independent Pharmacokinetics Using SAS/PH-Kinetics Software Martin F. Michael 2
NESUG 1994 Oject-Oriented Programming with the SAS/AF FRAME Entry: CANDA Experiences Barry R. Cohen 9
SEUGI 1994 Automatic Generation of Clinical Individual Data Documents, Using Connectively to Access Oracle Data on PC Gaetane Van der Borght source 4
SEUGI 1994 Model-Independent Pharmacokinetics Using SAS/PH-Kinetics Software Brian Fredric source 5
SUGI 1994 Developing Integrated Clinical Trials Systems: The ClinAccess Experience Martin J. Rosenberg source 7
WUSS 1993 An Integrated Clinical Trials System Utilizing Client Server and Graphical User Interface Technology Martin J. Rosenberg source 7
MWSUG 1993 Common Industrial Applications of Mixed Models Bob Obenchain 10
SEUGI 1993 Quality and Security of Clinical Data under the SAS System Ketil Eidsaunet source 5
SUGI 1993 An Extraordinary Reporting System for the Pharmaceutical Industry - the Macro Way Judy L. Gilbert source 5
SUGI 1993 An Integrated Clinical Trials System Utilizing Client Server and Graphical User Interface Technology Martin J. Rosenberg source 7
SUGI 1993 Biometrics Software: What Tools Have Pharmaceutical Biometricians Got in Their Kits? David J. Shannon source 6
SUGI 1993 Double-Key Data Entry/Verification in SAS Software: Part of Downsizing a Clinical Data System to the OS/2 Operating System Barry R. Cohen source 7
SUGI 1993 Emergent Visual Information Systems Anthony R. MacKay,
Stuart A. Nisbet		 source 2
SCSUG 1992 Bodysize Measurement Comparison Using SAS 6.06 O. M. Little,
Daniel J. Rahilly		 5
SEUGI 1991 Features of SAS/PH-Clinical Software Gerhard Held,
Patrick O'Donoghue		 source 10
SUGI 1991 A Clinical Data Review System to Facilitate Pharmaceutical Research Martin J. Rosenberg source 9
SUGI 1991 Features of SAS/PH-Clinical Software Sandra D. Schlotzhauer source 10
SUGI 1990 Constructing Integrated Clinical Information Systems for Traditional and Nontraditional Users Martin J. Rosenberg source 6
NESUG 1989 Integrated Clinical Information Systems for Traditional and Non-traditional Users Martin J. Rosenberg 8
SUGI 1989 An Integrated Approach to Computer Systems for NDA Preparation and Presentation Martin J. Rosenberg source 7
SUGI 1988 Information Systems in the Pharmaceutical Industry Theresa J. Hart source 3

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