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life sciences

163 papers and 29 presentations; 181 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 A Practical Roadmap for the 2026 Enterprise Generative AI Stack: AI Agent Architectures, Frameworks, and Secure Deployment for Regulated Industries Ryan Paul Lafler source 7
WUSS 2026 Demystifying Regression Analysis Techniques with R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 35
PharmaSUG 2026 A Practical Roadmap for the 2026 Enterprise Generative AI Stack: AI Agent Architectures, Frameworks, and Secure Deployment Ryan Paul Lafler source 8
PharmaSUG 2026 Beyond Today-s Evidence: How AI-Enabled RWE Will Transform Development Speed, Study Quality, and Real-World Impact Sherrine Eid source 15
PharmaSUG 2026 R Package Management in LSAF: Challenges and Solutions Praneeth Adidela,
Sagar Koona		 source 7
PharmaSUG 2026 Regression Analysis Made Easy Using R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 source 32
PharmaSUG 2026 Strategic AI Coaching for Life Sciences: A Framework for Industry Leaders and Managers Priscilla Gathoni source 15
PHUSE US 2026 Breaking into Statistical Programming: How SAS, R, Python, AI and ML Are Shaping Career Paths Kishore Pothuri source
presentation source		 6
PHUSE US 2026 Challenges and Solutions for Generating Synthetic CDISC Data Sundaresh Sankaran,
Catherine Briggs		 source
presentation source		 6
PHUSE US 2026 From Complexity to Consistency: Scalable Anonymization Across Clinical Trial Portfolios [presentation] Ahmed Eldafrawy,
Danielle DiBonaventura		 source 22
PHUSE US 2026 One Workflow to Rule Them All: Uniting Anonymisation and Confidential Information [presentation] Nirpal Virdee,
Lee Berry		 source 14
PHUSE US 2026 Orchestrating Multi-Agent Workflows for Complex Trial Data Integration Rajesh Hagalwadi source 8
PHUSE US 2026 Scaling Interactive Applications for Clinical & RWE Insights Best Practices for Adoption, Compliance, and Long-Term Impact Chris McSpiritt Domino source
presentation source		 8
PHUSE US 2026 The EQ Matrix: Unlocking the Human Edge in an AI World Pratibha Jalui source
presentation source		 4
PHUSE APAC 2026 An AI-Powered Digital Standards Library for Accelerated Regulatory Submissions Anshu Aman,
Varun Sethuraman		 source
presentation source		 4
PHUSE APAC 2026 Building a Trustworthy RWD Analytics Platform Key Considerations and Strategies William Yuanhao Kuan,
Ashwini Reddy		 source
presentation source		 7
PHUSE APAC 2026 Evolving with SDTM-IG v3.4: What Clinical Data Professionals Need to Know Prashanth Jatothu,
Nagaraju Salugu		 source
presentation source		 6
PHUSE EU 2025 Developing a Compliant and Scalable Statistical Computing Environment Based on PHUSE SCE Guidelines Casey Higgins,
Mark Sellors		 source 5
PHUSE EU 2025 Enhancing Clinical Trial Management with Automated Data Integration and Real-Time Analytics Katrijn Op,
Sopra Steria		 source
presentation source		 5
PHUSE EU 2025 Essential Conflict Management Tools for Emerging Leaders: From Tension to Transformation Satish Shetty,
Nalin Gupta		 source
presentation source		 4
PHUSE EU 2025 From Standards to Strategy: Customising CDISC Open Rules for the TMF Reference Model [presentation] Irina Sargsyan,
Sabine Jonas		 source 20
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 Human in the Middle: Accelerating with AI, Anchored in Quality Melanie Hullings,
Christopher H. White		 source
presentation source		 6
PHUSE EU 2025 Keeping it Real: A Tiered Approach to Real-World Data Quality by Leveraging Synthetic Data Lisa Murch,
William Kuan		 source
presentation source		 10
MWSUG 2025 Prompt, Program, Submit: Generative AI for Faster SDTM, ADaM, and TLFs Matthew J. Becker,
Pankaj Attri		 source 7
WUSS 2025 Prompt, Program, Submit: Generative AI for Faster SDTM, ADaM, and TLFs Matthew J. Becker source 7
PharmaSUG 2025 Application of advanced GenAI tools in sample size estimation - questions and thoughts Igor Goldfarb,
Ella Zelichonok		 source 12
PharmaSUG 2025 Creating JSON Transport Data for Regulatory Life Sciences Mary Dolegowski,
Matthew J. Becker		 source 6
PharmaSUG 2025 Embracing Continuous Learning in the Life Sciences Ecosystem Iuliana Constantin source 11
PharmaSUG 2025 Incorporating LLMs into SAS Workflows Samiul Haque,
Sundaresh Sankaran		 source 7
PharmaSUG 2025 Leveraging Python for Statistical Analysis in Public Health: Techniques and Visualizations for Life Sciences Professionals Michael Carnival source 14
PharmaSUG 2025 Proc LIFE-REFLECT: Surviving the Leadership Journey Steve Nicholas source 7
PharmaSUG 2025 Productive Safety Signal Detection and Analysis using In-context Learning Sundaresh Sankaran,
Samiul Haque,
Sherrine Eid		 source 11
PharmaSUG 2025 R Programming in SAS LSAF: How to Generate Clinical Reports Using an R Session Praneeth Adidela source 12
PharmaSUG 2025 Strategies for Thriving During Change and Uncertainty Maria Dalton source 5
PharmaSUG 2025 Streamlining and Accelerating Clinical Research through AI and GenAI driven Insights and safety review of Medical and Scientific Literature Rohit Kadam,
Saurabh Das,
Rajasekhar Gadde,
Niketan Panchal,
Alejandra Guerchicoff		 source 6
PharmaSUG 2025 You don-t have to handle the truth! Three Things to Know about Synthetic Data Catherine Briggs,
S. Robert Collins,
Sundaresh Sankaran		 source 7
PHUSE US 2025 A New Approach to Visualize Adverse Events Eva Kelty source
presentation source		 3
PHUSE US 2025 Changes to the Job of a Statistical Programmer in the Pharmaceutical Industry James J. Kim 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 Real-World Data - Analysis-Ready Datasets: A Standardised, Specialised and Innovative Data Solution for Efficient Real-World Data Analysis Nayan Chaudhary,
Navdeep Pal		 source
presentation source		 12
PHUSE US 2025 Revolutionizing Clinical Trials with Intelligent Protocol Automation Zach Martin source
presentation source		 5
PHUSE US 2025 Risk-Informed Data Strategies to Streamline Trial Complexity Tiina Erb source
presentation source		 3
PHUSE US 2025 Synthetic Data Generation: A Process Paradigm Sundaresh Sankaran source
presentation source		 9
PHUSE US 2025 Three Pointers for Effective and Accurate LLM Integration! Sundaresh Sankaran,
Sherrine Eid		 source
presentation source		 9
PHUSE EU 2024 Implementing CDISC CORE in a Cloud-Native, Regulated Environment to Support Rare Diseases Submissions Stijn Rogiers,
Emmy V Pahmer		 source
presentation source		 4
PHUSE EU 2024 Synthesised Real-world Data: JSON and the Argonauts Anil Sekhari source
presentation source		 10
PHUSE EU 2024 Trustworthy and responsible AI in health care and life sciences from a leadership perspective Mark Lambrecht source
presentation source		 3
WUSS 2024 Mastering Clinical Trial Reporting with SAS [presentation] Matthew J. Becker source 4
WUSS 2024 SAS Viya in Action: Enhancing Life Sciences Data Analysis [presentation] Matthew J. Becker source 13
PharmaSUG 2024 A New Way to Automate Data Validation with Pinnacle 21 Enterprise CLI in LSAF Crystal Cheng source 7
PharmaSUG 2024 Adding the missing audit trail to R Magnus Mengelbier source 8
PharmaSUG 2024 Advancing Regulatory Intelligence with conversational and generative AI Saurabh Das,
Rohit Kadam,
Rajasekhar Gadde,
Niketan Panchal,
Saroj Sah		 source 7
PharmaSUG 2024 Safety Signals from Patient Narratives PLUS: Augmenting Artificial Intelligence to Enhance Generative AI Value Sherrine Eid,
Sundaresh Sankaran		 source 14
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 Enabling the Breakthroughs of Tomorrow: The Data Lakehouse for Clinical Trials Venu Mallarapu source
presentation source		 12
PHUSE US 2024 Harness the Data's Potential in a Clinical Trial Process Eva Kelty,
Catharina Dahlbo		 source
poster source		 4
PHUSE EU 2023 An Agile Approach to Onboarding Ben White source
presentation source		 3
PHUSE EU 2023 Be Future-Minded While Designing Your Next Generation SCE Susanne M. Andersen,
Olivier Bouchard		 source
presentation source		 12
PHUSE EU 2023 Building a Scalable Utility Service to Make Multi lingual Applications Available to the Masses! Aksel Thomsen source
presentation source		 3
PHUSE EU 2023 Driving Better Health for More People - SAS Life Science Analytics William Kuan,
Olivier Bouchard		 source
presentation source		 8
PHUSE EU 2023 GPT (Generative Pretrained Transformers) and LLM (Large Language Models) have generated a lot of attention since their inception in early 2023 with the advent of OpenAI GPT3.5, then GPT4.0 Jerome Vetillard,
Mark Lambrecht		 source
presentation source		 16
PHUSE EU 2023 Oversight and Insight within a Fast-Moving Biotech Company Stijn Rogiers,
Isabelle Vandriessche		 source
presentation source		 15
PHUSE EU 2023 Streamlining Clinical Data Analysis and Reporting with R: Best Practices, Tips and Techniques for Efficient Workflow Management and Code Optimisation Vaibhavi Govind Bhide,
Perry Meeks		 source
presentation source		 12
PHUSE EU 2023 The Human in the Loop: Accelerating AI/ML Efficiencies for Clinical Data Achilleas Zaras source
presentation source		 4
WUSS 2023 Visualizing Insights, Empowering Discoveries: SAS Viya Unleashed in Life Science Analytics Matthew J. Becker source 13
PharmaSUG 2023 Bringing it All Together: Applying the Analytics Life Cycle for Natural Language Processing to Life Sciences Sundaresh Sankaran,
Tom Sabo		 source 15
PharmaSUG 2023 Deep Learning to Classify Adverse Events from Patient Narratives Tom Sabo,
Sundaresh Sankaran,
Qais Hatim		 source 11
PharmaSUG 2023 How to Promote Yourself Joshua M. Horstman source 5
PharmaSUG 2023 Patient's Journey using Real World Data and its Advanced Analytics Kevin Lee source 4
PharmaSUG 2023 Pros and Cons of Freelancing Pradeep Bangalore source 10
PharmaSUG 2023 Rate Setting Joshua M. Horstman source 5
PharmaSUG 2023 You can REST easy validating Synthetic Data Ben Howell,
Ben E. Bocchicchio		 source 9
PHUSE US 2023 A Pragmatic Approach to Data Cleaning - Decisions in Selecting When to Apply AI/ML [presentation] Robert Musterer,
Alison Banda		 source 15
PHUSE US 2023 Introduction to Machine Learning Models, How to Train Them and What to Do if They Become Sassy [presentation] Thomas Kalfas source 34
PHUSE US 2023 The Role of AI in the Biometrics and Medical Writing functions [presentation] Nalin Gupta source
video		 8
PHUSE EU 2022 Cloud Automation and Why I Should Use It [presentation] Roger Chivers source 14
PHUSE EU 2022 Collaboration Between Analytical Health Care Technology Leaders will Positively Impact Clinical Trial Research Innovation & Improve Health Care System [presentation] Mark Lambrecht,
Andrew Warrington		 source
video		 19
PHUSE EU 2022 Is Your Analytics Platform Ready for Handling Real-world Data for Regulatory-grade Real-world Evidence? William Kuan,
Olivier Bouchard		 source
presentation source		 7
PHUSE EU 2022 One MDR, Multiple EDCs [presentation] Kairav Tarmaster source 16
SAS Explore 2022 SAS Visual Text Analytics: Exploring Literature for Drug Safety Signals [video] Ari Zitin source
youtube
PharmaSUG 2022 Connecting SAS and Smartsheet to Track Clinical Deliverables Gregory T. Weber,
Steven Hege,
Siddharth Kumar		 source 8
PharmaSUG 2022 Ensuring Distributed Data Custody on Cloud Platforms Ben E. Bocchicchio,
Sandeep Juneja		 source 26
PHUSE US 2022 Integration of SAS LSAF and Veeva Using REST APIs [presentation] Ben E. Bocchicchio,
Pritesh Desai		 source 16
PHUSE EU 2021 Automation of Process Flow Instances Caro Sluijter source
video
presentation source		 8
PHUSE EU 2021 Data-driven Decisions: How an Increase in Data Demand is Driving the Creation of New Platforms Focused on Non-data Natives [presentation] Trevor Standish source
video		 10
PHUSE EU 2021 Engineering an MDR of the Future [presentation] Ali Dootson,
Mike Grove		 source
video		 19
PHUSE EU 2021 HoW: New Era of Collaboration - Towards the Adoption of Digital Measures - DEEP Initiative Kai Langel,
Bert Hartog		 source 13
PHUSE EU 2021 R and SAS Working Together - DNR's Experience Moving to LSAF 5.3 [presentation] Paul Vervuren source
video		 17
PHUSE EU 2021 SAS Coding Efficiency: Developing a Performance Mindset [presentation] Richard Paterson source
video		 21
PHUSE EU 2021 Studyathons: A New Way of Organising and Promoting Multidisciplinary Collaborations in Biomedical Open Science [presentation] Julia Kurps,
Maria Escala-Garcia		 source
video		 22
PHUSE EU 2021 Using Jobs and API Macros to Create a Structured, Controlled and Personalised LSAF Environment [presentation] Stephan van Driel source
video		 30
PHUSE US 2021 Data Science Presentations: DSc01: How Automation Using Machine Learning Technology Can Overcome the Limitations of Double Programming [presentation] Hugh Donovan,
Ilan Carmeli		 source 18
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 Patient Registries - New Gold Standard for Real World Data [presentation] Lavanya Peddibhotla,
Sivasankar Konda		 source
video		 14
PharmaSUG 2021 Extracting Data Standards Metadata and Controlled Terminology from the CDISC Library using SAS with PROC LUA Lex Jansen source 23
PharmaSUG 2021 Generating Synthetic CDISC Clinical Trial Data. Jose C. Lacal source 14
PharmaSUG 2021 How simulation will impact the future of Healthcare & Life Sciences. Pritesh Desai,
Allison Sealy,
Shawn Tedman,
Lois Wright,
Bahar Biller		 source 14
PharmaSUG 2021 Macro to Compare Titles and Footnotes in Produced TLF and Corresponding Shells Igor Goldfarb,
Ella Zelichonok		 source 26
PharmaSUG 2021 Manage TFLs Development in LSAF 5.3 using SAS and R code Stijn Rogiers,
Jean-Marc Ferran		 source 10
PHUSE EU 2020 An Introduction to the Use of BigQuery for the Life Sciences [presentation] Claudio Garutti source
video		 14
PHUSE EU 2020 How I Learnt Python in 15 Days Vikas Dhongde source
video
presentation source		 4
PHUSE EU 2020 Implementing FAIR in OHDSI: Challenges and Opportunities in EHDEN [presentation] Tess Korthout source
video		 23
PHUSE EU 2020 Managing TFL Development in LSAF 5.3 Using SAS and R Code [presentation] Jean-Marc Ferran,
Stijn Rogiers		 source
video		 23
PHUSE EU 2020 PowerS(h)elling SAS Tom Van Campen source
video		 7
PHUSE EU 2020 Scientific and Methodological Consistency Throughout a Clinical Study: How to Succeed? [poster] Sandra Wiederkehr,
Caroline Rigault,
V. Chapalain,
R. Gauchoux		 source
video		 1
PHUSE EU 2020 Template-based Graph Generation in Python and its Maintenance in Git [presentation] Pournima Prabhakaran source
video		 21
SGF 2020 Data Standardization Using SAS Health Data Mapper Eric Bolender source 14
SGF 2020 Expanding SAS Grid Manager for Platform: Lessons from the Field Bill McMillan,
Qingda Want		 source 19
SGF 2020 SAS Knows Good Manufacturing Practice Lois Wright source 11
PharmaSUG 2020 Data Transformation: Best Practices for When to Transform Your Data Janet E. Stuelpner,
Olivier Bouchard,
Mira Shapiro		 source 4
PharmaSUG 2020 Leadership Lessons from Start-ups Siva Ramamoorthy source 7
PharmaSUG 2020 Transpose Procedure: Turning it Around Again Janet E. Stuelpner source 8
PHUSE US 2020 Accelerating Translational Research by Leveraging AI and Machine Learning Leveraging AI source
presentation source		 9
PHUSE US 2020 Data Load Automation Jennifer H. Desai source
presentation source		 4
PHUSE US 2020 Migrating to LSAF - The Danone Nutricia Research Journey Jean-Marc Ferran,
Paul Vervuren		 source
presentation source		 9
PHUSE US 2020 Regulatory Scrutiny on Data Integrity: Are You Safe? Chris Decker,
John Horton		 source
presentation source		 11
PHUSE EU 2019 Integrated Data and Document Anonymisation for Efficient Data Sharing [presentation] Ali Dootson,
Cathal Gallagher		 source 27
PHUSE EU 2019 Migrating to LSAF - Danone Nutricia Research's Journey Paul Vervuren,
Jean-Marc Ferran		 source
presentation source		 9
PHUSE EU 2019 Onboarding a Junior Statistical Programmer in 10 Weeks: My Story, from University to First Analysis Delivery Pieter Coppens,
Annelies Van Zeveren		 source
presentation source		 6
PHUSE EU 2019 The Impact of AI, RWE, Precision Medicine and Mobile Health Technology on Streamlined Clinical Trials Stijn Rogiers,
Olivier Bouchard		 source
presentation source		 11
PharmaSUG 2019 Best Practices in Data Standards Governance Melissa R. Martinez source 4
PharmaSUG 2019 Camouflage your Clinical Trial with Machine Learning and AI Ajith Baby Sadasivan,
Limna Salim,
Akhil Vijayan,
Anoop Ambika		 source 10
PharmaSUG 2019 Designing Flexible Data Standards Models Melissa R. Martinez source 4
PharmaSUG 2019 Streamlining the Metadata Management Process Using SAS Life Science Analytics Framework Alex Ford source 6
PHUSE US 2019 A Method for Automating Jobs in SAS Life Science Analytics Framework (LSAF) Nicholas Masel source
presentation source		 5
PHUSE US 2019 Metadata-driven Automation in Drug Research Hanming Tu,
Zhongping Lin		 source
presentation source		 13
PHUSE EU 2018 Effective Data Modeling for Effective Data Visualisation Eva Kelty,
Peter Tormay		 source
presentation source		 5
PHUSE EU 2018 Exchange of SAS Programs Between Local-/Server-Based SAS and the SAS Life Science Analytical Framework Frank Biedermann source
presentation source		 7
PHUSE EU 2018 SAS Life Science Analytical Framework (LSAF) in a Nutritional Clinical Research Setting Mickaël Hartweg,
Justine Morlet		 source
presentation source		 7
PHUSE US 2018 Incorporating Pinnacle 21 with LSAF Sonali Garg,
Aleksey Vinokurov		 source
presentation source		 6
PHUSE US 2018 Understanding the Power of Information Modeling for Efficient and Effective Visualization Michael Rubison,
Eva Kelty		 source
poster source		 6
PHUSE US 2018 Upcoming Technology with Transformative Potential for Life Sciences Sameer Thapar source
presentation source		 3
PharmaSUG 2018 Best Practices in Data Standards Governance Melissa R. Martinez source 4
PharmaSUG 2018 Designing Flexible Data Standards Models Melissa R. Martinez source 4
PharmaSUG 2018 Incorporating Pinnacle 21 with LSAF Aleksey Vinokurov,
Sandeep Juneja,
Sonali Garg		 source 6
PharmaSUG 2018 Visualizing and Modeling Clinical Trial Data Alex Ford,
Andrea Coombs		 source 7
PHUSE EU 2017 Finding Talents? Think Innovative! Yi Zhang source
presentation source		 4
PHUSE EU 2017 PHUSE is Moving Cloud Adoption Forward in Life Sciences Tony Hewer source
presentation source		 6
PharmaSUG 2017 Harnessing the Power of the Manifest File in the SAS Life Science Analytics Framework Kevin Clark source 3
PharmaSUG 2017 The Road Not Often Taken Janet E. Stuelpner source 2
SGF 2017 Analytics of Healthcare Things (AoHT) IS THE Next Generation of Real World Data Joy King source 2
PHUSE EU 2016 An Update from the PHUSE Working Group on Cloud Adoption in the Regulated Life Sciences Industry Tony Hewer source
presentation source		 33
PHUSE EU 2016 Constructing Interoperable Study Documents From A Semantic Technology-based Repository Colin de Klerk source
presentation source		 12
PHUSE EU 2016 Interactive Visualisation for Precision and Translational Medicine Christof Gaenzler source
presentation source		 3
PHUSE EU 2016 SCAPROC Impact Analysis - Providing QA and Compliance Insights Sandeep Juneja,
Ben E. Bocchicchio,
Stijn Rogiers		 source
presentation source		 6
PHUSE EU 2016 The Hardships of Finding your Way in Biometrics Evi Creebsburg source 4
SGF 2016 Hands-On GTL Kriss Harris source 19
PHUSE EU 2015 Data-centric System Development Life Cycle for Automated Clinical Data Development Systems Kevin Lee source
presentation source		 5
PHUSE EU 2015 The Evolution of Computing in Clinical Research: Past, Present and Future Mark Weadon source
presentation source		 6
PharmaSUG CN 2015 SAS End-to-End solutions in Clinical Trial Emma Liu 17
PHUSE EU 2014 Implementation of CDISC ADaM in the Pharmacokinetics Department Joanna Magielse,
Tineke Callant		 source
presentation source		 6
PHUSE EU 2014 Lessons Learned by Comparing "using SAS" as and Epidemiological Researcher and "using SAS" as a Statistical Programmer Joris Derks source
presentation source		 6
PharmaSUG CN 2014 Data Transparency and Sharing: Research Benefits, Risks and the Future Janet E. Stuelpner,
Matthew J. Becker		 3
PharmaSUG CN 2014 Visualizing Clinical Trial Data Matthew J. Becker 10
PharmaSUG 2014 Creating a Career GPS to Enhance Your Opportunities: Ten Steps to Improve Your Value by Strengthening Your Planning Bill Donovan,
Shridhar Patel		 source 3
PharmaSUG 2014 Moving to SAS Drug Development 4 Magnus Mengelbier source 17
WUSS 2013 Optimism of Best Subset Selection by AIC/BIC for Prognostic Model Building Yinghui Miao,
Irena Stijacic Cenzer,
Katharine Kirby,
W. John Boscardin		 source 13
WUSS 2013 Sharing SAS User-Related Information via Creative Commons Copyright Licenses Thomas E. Billings source 6
PHUSE EU 2013 Get The Most out of Your Data by the Power of R Graphics [presentation] Peter Bewerunge source 24
PHUSE EU 2013 Semantic Technology and CDISC Standards Frederik Malfait,
Scott A. Bahlavooni		 source
presentation source		 13
PHUSE EU 2013 Useful Principles and Practices for Professional SAS Programmers Patrick René Warnat source 4
SGF 2013 A CareerView Mirror: Another Perspective on Your Work and Career Planning Bill Donovan source 5
SGF 2013 Here Is How We Do It: Teaching SAS at Community Colleges Meili Xu source
pdf		 6
NESUG 2012 Applying Business Analytics to Optimize Clinical Research Operations David Handelsman 8
PHUSE EU 2012 Changing SAS Discipline into the Life Science Sector Chris Gibby source
presentation source		 4
PHUSE EU 2012 Dynamically Generating Macro Innovations using SAS Keyboard Abbreviations Tom Van Campen,
Benny Haemhouts		 source
presentation source		 8
PHUSE EU 2012 Using the Latest ODS Features in SAS 9.2 Chris Gibby,
Kevin Scase		 source
poster source		 10
PharmaSUG 2012 Study on Good Programming Practices in Health and Life Sciences Arthur Collins,
Mark Foxwell,
Beate Hientzsch,
Cindy Q. Song		 source 4
SGF 2012 Applying Business Analytics to Optimize Clinical Research Operations David Handelsman source 8
SGF 2012 Best Practices for Managing and Monitoring SAS Data Management Solutions Gregory S. Barnes Nelson source 13
MWSUG 2011 Optimizing Clinical Research Operations with Business Analytics David Handelsman 6
SGF 2011 Optimizing Clinical Research Operations with Business Analytics David Handelsman source 6
PharmaSUG 2010 Analytics in the Converging Health and Life Sciences Industries: The Catalyst for the Next Generation of Healthcare Matt Gross 15
SGF 2010 Analytics in the Converging Health and Life Sciences Industries: The Catalyst for the Next Generation of Healthcare Matt Gross source 15
SGF 2010 The Best of Both Worlds: Integrating a Java Web Application with SAS Using the SAS/SHARE Driver for JDBC Adam Rauch source 9
SGF 2009 Retirement of Legacy Clinical Systems and Moving to SAS Drug Development, Much More than Just Moving the Data Fred R. Forst,
John Standefer		 source 17
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 J(u)mp to R: Using R functions in JMP Genomics Patrick René Warnat,
Andreas Mangold		 source 6
SGF 2008 The Evolution of SAS in Life Sciences Research and Development David Handelsman source 10
WUSS 2007 Clinical Data Repository and SAS Karthikeyan Chidambaram source 8
PHUSE EU 2007 Data mining in the clinical research environment David Smith source 7
PharmaSUG 2007 SAS & Clinical Data Repository Karthikeyan Chidambaram 8
PharmaSUG 2006 SAS Drug Development: Bringing Innovation to Life Sciences David Handelsman 12
PHUSE EU 2005 What SAS is doing for the FDA's Critical Path Initiative? Andrew T. Fagan source 20
NESUG 2004 SAS Add-In for Microsoft Office - Leveraging SAS Throughout the Organization from Microsoft Office Eric Hill 15
SCSUG 2004 SAS Add-In for Microsoft Office - Leveraging SAS Throughout the Organization from Microsoft Office Jennifer Bradshaw Clegg,
Stephen McDaniel		 15
SESUG 2004 SAS Add-In for Microsoft Office - Leveraging SAS Throughout the Organization from Microsoft Office Jennifer Bradshaw Clegg source 15
WUSS 2004 SAS Add-In for Microsoft Office - Leveraging SAS Throughout the Organization from Microsoft Office Jennifer Bradshaw Clegg,
Stephen McDaniel		 source 15
PNWSUG 2004 SAS Add-In for Microsoft Office - Leveraging SAS Throughout the Organization from Microsoft Office Jennifer Bradshaw Clegg 15
SUGI 2004 SAS Add-In for Microsoft Office - Leveraging SAS Throughout the Organization from Microsoft Office Jennifer Bradshaw Clegg,
Stephen McDaniel		 source 16
MWSUG 2003 Addressing 21 CFR Part 11 Concerns with Execution and Repository Control Curt Wehrley,
Donald L Penix Jr.,
Wing Lam		 8

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