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350 papers and 63 presentations; 393 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG CN 2026 A Dual-Harness Workflow to Wrap AI into Observable, Reusable Clinical Table Delivery: From SAP Intent to Shell-Aligned Execution Wenjun Zhu source 14
PharmaSUG CN 2026 Validation Strategy for TLF AI-Generated Results Han Wang,
Zongfeng Lei,
Patick Zhang		 source 7
PharmaSUG 2026 Biostatistical Foundations 201: Privacy Preserving Patient Linkage Across Real World Data Sources Anbu Damodaran source 8
PharmaSUG 2026 Building ADaM Datasets from Scratch using R: A SAS programmer-s Perspective Patel Mukesh,
Nilesh Patel		 source 15
PharmaSUG 2026 Efficiency in Action: Automating Bookmarking for CRFs and Other Regulatory Submission Documents Srivathsa Ravikiran,
Sri Raghunadh Kakani,
Yang Xu		 source 11
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 Programmer to Influencer: Strategic Leadership for Statistical Programmers in Clinical Development Xiaohan Zou,
Wei Shao,
Yi Yan		 source 9
PharmaSUG 2026 From Statistical Programmer to Analytical Partner: Navigating the Future of Biostatistics Shivani Gupta source 6
PharmaSUG 2026 From Tables to Tolerances: The Evolving Role of Statistical Programmers in Risk-Based Quality Management (RBQM) Vihar Patel source 14
PharmaSUG 2026 Goodbye SAS, Hello R: Practical Workflows for CDISC Standards Madeleine Penniston,
Alyssa M. Wittle		 source 12
PharmaSUG 2026 Maintaining a Multi-Lingual Code Inventory in Real-World Evidence Joshna Reddy Nimmala,
Yu Feng		 source 6
PharmaSUG 2026 Navigating Early Career Challenges in PK/ADA Statistical Programming Diyu Yang,
Sandeep Meesala		 source 11
PharmaSUG 2026 Taming Polyglot Analytics: Simplifying Cross-Language Workflows in a Unified IDE David L. Ward,
Troy B. Wolfe		 source 8
PharmaSUG 2026 When Code Isn-t Enough: Communication and Leadership Skills for Statisticians and Programmers John M. LaBore,
Joshua M. Horstman,
Robert Goodloe		 source 6
PharmaSUG 2026 Why Standards Matter More Than Code in the Age of GenAI Bhavin Busa source 6
PHUSE US 2026 Advancing Precision Medicine and Regulatory Readiness: Data Harmonisation and Statistical Methods for Companion Diagnostics Bridging Studies Ummul Vara Qurratul Ain source
presentation source		 10
PHUSE US 2026 AI as Copilot: Empowering, Not Replacing, Clinical Statistical Programmers Bhavesh Patkar source
presentation source		 5
PHUSE US 2026 AI Code Generator: Automating TFL Programming with ARS Metadata Bhavin Busa,
Navin Dedhia		 source
presentation source		 5
PHUSE US 2026 Automation vs AI: A Debate on Strategic Priorities in the Era of Data Science Avinash Pati,
Francis Kendall		 source
presentation source		 3
PHUSE US 2026 Batch Cleaning of SAS Programs for Submission Readiness: An AI and Python Hybrid Approach Qiong Wei,
Qisen Luan		 source
presentation source		 9
PHUSE US 2026 Becoming a Lead Programmer: Skills, Responsibilities, and Career Pathways Gregory Weller source
presentation source		 5
PHUSE US 2026 Beyond Box-Checking: Five Best Practices for Embedding QC in Modern SCEs Chris McSpiritt source
presentation source		 6
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 Democratising SDTM Transformations: AI-Assisted Function Development with Business-Driven Governance Ulf Nielsen,
Rostislav Markov		 source
presentation source		 11
PHUSE US 2026 Developing the Workforce of the Future Avinash Pati source
presentation source		 5
PHUSE US 2026 Electronic Clinical Data Submissions Across Global Regulatory Authorities Sampath Madanu source
presentation source		 12
PHUSE US 2026 From Automation to Audit-Readiness-AI's Growing Role in Statistical Programming Manoj Kumar Maripally source
presentation source		 4
PHUSE US 2026 From Black Box to Glass Box: A Context-Aware Approach to SDTM Mapping Automation with Interactive Visual Validation Rostislav Markov,
Jacques Lanoue		 source
presentation source		 12
PHUSE US 2026 In the Room Where it Happens: A Behind-the-Scenes Peek into the Performance Evaluation Process Toshio Kimura source
presentation source		 5
PHUSE US 2026 Influence Without Authority: Leadership Lessons for Statistical Programmers Steven Tan source
presentation source		 8
PHUSE US 2026 Prompt Engineering in Gen AI: A Game Changer for the professional development of Statistical Programmers and Data Scientists Kevin Lee source
presentation source		 8
PHUSE US 2026 SpecToSAS: AI-Powered SAS Code Generation from Study Specs Gargee Vaidya,
Lluis Gimenez		 source
presentation source		 12
PHUSE US 2026 The AI Reckoning: Why Statistical Programmers Must Evolve Now Bhavin Busa source
presentation source		 6
PHUSE US 2026 The Clinical Data Lake: Empowering the Data Caterer Vision with Veeva, SAS and Open Source Sascha Ahrweiler,
Holger Dach		 source
presentation source		 7
PHUSE US 2026 The Use of Git in Statistical Programming Rita Pecuch,
Jim Coates		 source
presentation source		 9
PHUSE APAC 2026 AI for Adverse Event Signal Detection: Moving Beyond Monika Monika source
presentation source		 10
PHUSE APAC 2026 Beyond Code: Elevating NextGen Statistical Programmers through Cross-Functional Learnings Saumil Tripathi source
presentation source		 7
PHUSE APAC 2026 Estimands Framework Through the Eye of a Statistical Programmer Shraddha Ganoo,
Kinjal Pandat		 source
presentation source		 9
PHUSE APAC 2026 Extinction or Evolution? The Vanishing Line Manager: Bridging the Gap Between Code and Leadership Limna Salim source
presentation source		 6
PHUSE APAC 2026 Integrating R Programming and Generative AI for Prompt-Driven Clinical Trial Data Analysis Vyom Bhatt source
presentation source		 4
PHUSE APAC 2026 PerRSSSistance Is the Key: A 5-Year Transition from Associate to Study Lead Programmer the EQ Way! Likhita Kolli source
presentation source		 6
PHUSE APAC 2026 RADAR: Rapid AGILE Development and Automated Reporting for Clinical Data Standards (Using R Shiny based Application) Neeraj Sharma,
Dhirendra Kumar		 source
presentation source		 5
PHUSE APAC 2026 Reimagining Clinical Data Exploration: Animated Data Visualizations for Interactive Clinical Trial Storytelling Tony Mathew source
presentation source		 6
PHUSE APAC 2026 SAS EG Tips and Tricks from a Statistical Programmer's Perspective Nipun S source
presentation source		 7
PHUSE APAC 2026 SAS to Python: A Hands-On Cheat Sheet for Statistical Programmers Jagadish Katam source
presentation source		 10
PHUSE APAC 2026 Thriving in a Dynamic World: Unlock the Magic of a Growth Mindset Abhishek Mishra source
presentation source		 3
PHUSE APAC 2026 Working with Biomarker - What Every Programmer Should Know Aboli Katdare source
presentation source		 14
PHUSE EU 2025 An Evolving Role of Statistical Programmers: Leveraging New Capabilities in Open-Source Environments Rob Livermore,
Maciej Wojtecki-Glod		 source
presentation source		 9
PHUSE EU 2025 Code, Collaborate, Conquer: The Future-Proof Programmer in an AI World James Shipley-Burgess source
presentation source		 4
PHUSE EU 2025 End-to-End R: Where To Start? Luke Thompson source
presentation source		 6
PHUSE EU 2025 Enhancing Stats Programming Efficiency in Pharma: Harnessing Large Language Models (LLMs) such as ChatGPT for Accelerated Development and Validation Andy Ratcliffe source
presentation source		 3
PHUSE EU 2025 Everyday AI for Statistical Programmers: Global Implementation of a Clinical Analysis Assistant Mathieu Cayssol,
Christoph Centner		 source
presentation source		 17
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 Hybrid Way To Develop Patient Narratives [presentation] Loskutov Volodymyr,
Oleh Buno		 source 16
PHUSE EU 2025 Micro-Decisions, Macro Impact: The Role of Agile Thinking in Every Line of Code Eswara Satyanarayana Gunisetti source
presentation source		 5
PHUSE EU 2025 Milestones Matter: Understanding Key Milestones in Clinical Trials Satyapal Gudla source
poster source		 21
PHUSE EU 2025 Pharmacokinetics Is Simple... Sometimes Vincent Buchheit source
presentation source		 12
PHUSE EU 2025 Redefining the role of the Statistical Programmer in an AI-Driven World James Shipley-Burgess source
poster source		 4
PHUSE EU 2025 SAMBA: Bridging the Gap How GenAI Transforms Analysis Plans into ADaM Specs [presentation] Thiago Figueiredo,
Richard Becker		 source 19
PHUSE EU 2025 SAS Viya and Posit Team Integration: Git-Enabled, AI-Driven Clinical Reporting with Azure and Open-Source Technologies Maksym Prykolota,
Vaibhav Kulkarni		 source
presentation source		 9
PHUSE EU 2025 Snakemake for Statistical Programmers: Automation and Reproducibility in Clinical Studies Nassim Sleiman,
Mathieu Cayssol		 source
poster source		 11
PHUSE EU 2025 Swarming Success: Optimising Efficiency in Statistical Programming Lea Zittlau,
Saskia Ständler		 source
presentation source		 10
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
SESUG 2025 CDISC Genius AI: PoC on how to interact with CDISC Library API using Natural language Saikrishnareddy Yengannagari 9
SESUG 2025 Growing in Leadership: A Guide for Statistical Programmers Anil Jangili 4
SESUG 2025 Statistical Programmer's role in Bioresearch Monitoring (BIMO) package creation Sampath Madanu 25
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 Introduction to the Role of Statistical Programming in Medical Affairs Nagadip Rao source 9
PharmaSUG 2025 Bridging the Gap: Leadership of Statistical Programmers in Clinical Trials Allison Covucci,
Xiaohan Zou		 source 6
PharmaSUG 2025 Building a Scalable Training Platform for R: Empowering Analytics Excellence in Corporate Initiatives Michelle Page-Lopez,
Martyn Walker		 source 7
PharmaSUG 2025 Clinical Data Quality Assurance: An Interactive Application for Data Discrepancy Detection Yushan Wang source 8
PharmaSUG 2025 Data management and biostatistics synergy: how to achieve and what can be expected Diana Avetisian source 11
PharmaSUG 2025 Debugging Options in R: Applications and Usage in Clinical Programming Madhusudhan Ginnaram,
Bingjun Wang,
Jeetender Chauhan,
Sarad Nepal		 source 6
PharmaSUG 2025 Deciphering Exposure-Response Analysis Datasets: A Programmer-s Perspective for Oncology Studies Sabarinath Sundaram source 6
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 Essential Elements for an Effective New-Hire Training Handbook Ingrid Shu,
Xinhui Zhang		 source 7
PharmaSUG 2025 Gen AI Assisted Code Conversion: From SAS to R Standard ADaM Templates Jeff Cheng,
Srinivas Malipeddi,
Gurubaran Veeravel,
Jaime Yan,
Suhas R. Sanjee		 source 11
PharmaSUG 2025 Handling Health Regulatory Information Requests: Best Practices and Strategies Himanshu Patel,
Chintan Pandya		 source 11
PharmaSUG 2025 Optimized Resourcing Strategies in Statistical Programming within CROs and Considerations for AI Integration in Resource Management Vihar Patel source 10
PharmaSUG 2025 PDFs Done Right: The Statistical Programmer-s Guide to Flawless Regulatory Submissions Srivathsa Ravikiran,
Sri Raghunadh Kakani		 source 12
PharmaSUG 2025 Programming Challenges in Master Protocols Vijaya Jonnalagadda source 6
PharmaSUG 2025 Risk Mitigation Solution for Kaplan-Meier Plot in Drug Labeling Bingjun Wang,
Jane X. Liao,
Suhas R. Sanjee,
Jeff Xia		 source 13
PharmaSUG 2025 Shiny & LLMs: Landscape and Applications in Pharma Philip Bowsher source 17
PharmaSUG 2025 Statistical Programming Outputs Comparison and Reporting Using Python Vinayak Mane,
Tanusree Bhattacharyya,
Adel Solanki,
Anindita Bhattacharjee,
Nibedita Hazra		 source 10
PharmaSUG 2025 Strategies to Encourage Adoption and Innovation in Statistical Programming Archana Gundamraju source 6
PharmaSUG 2025 Unveiling Paradoxical Pathways: A Counterintuitive Compass for Strategic Decision-Making Anbu Damodaran source 14
PHUSE US 2025 Accelerating Data Integration: Utilizing Python Scripts and Semantic Search for Variable Mapping in Multiple Studies Xiaopeng Li source
presentation source		 6
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 Changes to the Job of a Statistical Programmer in the Pharmaceutical Industry James J. Kim source
presentation source		 8
PHUSE US 2025 Leadership Presentations: How and Why, Statistical Programming Leaders Need to Plan for Next Generation Statistical Programming [presentation] Francis Kendall source 29
PHUSE US 2025 Leadership Presentations: Turning Disruption into Opportunity - Guiding Teams Through AI-Powered Transformation [presentation] Li Zheng source 20
PHUSE US 2025 LLMs in Clinical Trials: Overcoming Challenges Related to Patient Confidentiality and Intellectual Property Amit Javkhedkar,
Samip Shah		 source
presentation source		 7
PHUSE US 2025 Surviving a Sunset: Being Resilient in the Face of Open-Source Disruption Franklin E. Menius source
presentation source		 5
PHUSE EU 2024 Biomarkers Unleashed: A Programming Pipeline from Chaos to Clarity in Genomic Data Saskia Ständler,
Lea Zittlau		 source
presentation source		 10
PHUSE EU 2024 Bridging Statistical Programming and Data Management: A Job Rotation Experience Frederikke Høyer source 4
PHUSE EU 2024 Bridging the Virtual Gap: Enlivening Our Global Programming Team Daphne Vuurstaek,
Pekka Heikkilä		 source
presentation source		 6
PHUSE EU 2024 Finding Out Subject Compliance Data in Clinical Trials Bhakti Gadekar,
Pravat Pradhan		 source
presentation source		 10
PHUSE EU 2024 Lessons Learned From the ADaM Data Development Using ADMIRAL [poster] Katarzyna Golasa,
Tomasz Lebitko		 source 1
PHUSE EU 2024 Leveraging Bayesian Posterior Probability for Analysing Treatment Effects in Clinical Trials: A Statistical Programmer's Guide Vismaya Kondassam Veedu source
presentation source		 7
PHUSE EU 2024 Navigating Personal and Continuing Professional Development - A Journey into Data Science Jawan Thapa source
poster source		 2
PHUSE EU 2024 Revolutionising Statistical Programming Activities - StatProg CoPilot Consortium Leveraging on Open-Source World and Generative AI Sébastien Tourlet source
presentation source		 4
PHUSE EU 2024 SAIL.R: A Journey Towards R Software at Johnson & Johnson - A Training Perspective Yannick Vandendijck source
presentation source		 10
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 {SAS to R-evolution}: A Statistical Programming Team Journey [poster] Charlotte Cheinin source 1
SESUG 2024 The Essentials Given - Becoming an Expert of Statistical Programming in Pharma & Health Care Industry Hongbo Li source 5
WUSS 2024 Statistical Programmers Role for SPM Analysis Marckenley Mercie,
Ce (Colin) Zhou		 source 11
WUSS 2024 Will statistical programmers be replaced by Artificial Intelligence? [presentation] Junying Zhang source 20
PharmaSUG CN 2024 A SAS Macro to Cross Check Abbreviations/scripts between TLFs Body Content and Footnotes Ke Xu source 4
PharmaSUG CN 2024 Enhancing SAS Programming Efficiency with Large Language Models (LLMs) Guangyong Li,
Junkai Zhao		 source 15
PharmaSUG CN 2024 Interactive analyses and displays for clinical data by utilizing a complete suite of analysis and reporting (A&R) tools via MedDRAH Zhiping Yan source 13
PharmaSUG CN 2024 Navigating Statistical Programming Challenges in Early Phase Oncology Trials Dandan Du source 13
PharmaSUG CN 2024 Programming Activities of Conducting Data Masking in Open-Label Study Xinyun Gao source 6
PharmaSUG 2024 "Prompt it", not "Google it" : Prompt Engineering for Statistical Programmers and Biostatisticians Kevin Lee source 4
PharmaSUG 2024 A R Markdown Structure for Automatically Generating Presentation Slides Junze Zhang,
Chuanhai Tang,
Xiaohui Wang		 source 9
PharmaSUG 2024 Agile Sponsor Oversight of Statistical Programming Activities Manuela Koska,
Veronika Csom		 source 6
PharmaSUG 2024 Agile, Collaborative, Efficient (ACE): A New Perspective on Data Monitoring Committee Data Review Preparation Ke Xiao source 6
PharmaSUG 2024 Comprehensive Evaluation of Large Language Models (LLMs) Such as ChatGPT in Biostatistics and Statistical Programming Songgu Xie,
Michael Pannucci,
Weiming Du,
Huibo Xu,
Toshio Kimura		 source 9
PharmaSUG 2024 Define-XML Conversion: A General Approach on Content Extraction Using Python Danfeng Fu,
Dickson Wanjau,
Ben Gao		 source 15
PharmaSUG 2024 Integration of SAS GRID environment and SF-36 Health Survey scoring API with SAS Packages Bartosz Jabłoński source 13
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 Standardization of the Patient Narrative Using a Metadata-driven Approach Kuldeep Sen source 8
PharmaSUG 2024 What Being a Peer-to-Peer Mentor Offers - Perspective from an Individual Project Level Contributor LaNae Schaal source 3
PHUSE US 2024 Agile, Collaborative, Efficient (ACE): A New Perspective on Data Monitoring Committee Data Review Preparation Ke Xiao,
Hong Wang		 source
poster source		 6
PHUSE US 2024 Change Management: A futuristic opportunity for SAS Programmers to build R Library Shashikant Kumar,
Ephicacy Lifescience		 source
presentation source		 6
PHUSE US 2024 Comprehensive Evaluation of Large Language Models (LLMs) Such as ChatGPT in Biostatistics and Statistical Programming Toshio Kimura,
Michael Pannucci		 source
presentation source		 9
PHUSE US 2024 Data Pipeline - Improving Cycle Time and Shifting Data Closer to Analytics Jayasree Ivaturi source
presentation source		 6
PHUSE US 2024 Front-Loading Statistical Programming Using Automated Synthetic Data Faezeh Moshfeghifar,
Hemanth Padmakar		 source
presentation source		 5
PHUSE US 2024 Posit/RStudio Pharma Updates: Reproducibility and Beyond Cole Arendt,
Philip Bowsher		 source
presentation source		 14
PHUSE US 2024 Recruiting the Best Talent and Developing them within the Organisation Naveen Kommuru,
Madhusudhan Reddy Papasani		 source
presentation source		 11
PHUSE US 2024 SAS PROC MI: Your Impeccable Tool for Enhanced Data Analysis Through the Lens of Multiple Imputation Anush Kurghinyan,
Shahrzad Talebian		 source
presentation source		 7
PHUSE US 2024 Transforming Submissions with Saama's Biometrics Research Analysis and Information Network (BRAIN) [presentation] Jaya Simha Inampudi,
Nekzad Shroff		 source 6
PHUSE US 2024 Unveiling the Potential of ADNCA via the CDISC ADaM IG: Revolutionising Pharmacokinetic Non-Compartmental Analysis Input Data Standardisation Saumilkumar Tripathi source
presentation source		 10
PHUSE EU 2023 A Beginner's Journey with SAS: One Small SAS for Man... Dale Armstrong source
presentation source		 8
PHUSE EU 2023 An Automated Compliance in Project is possible! Elisa Natale,
Thierry Paquet		 source
presentation source		 9
PHUSE EU 2023 Driving Better Health for More People - SAS Life Science Analytics William Kuan,
Olivier Bouchard		 source
presentation source		 8
PHUSE EU 2023 Statistical Programming 101 for the Fourth Industrial Revolution Ritika Aggarwal source
presentation source		 10
PHUSE EU 2023 Stay Ahead of the Curve: Learn About Leapfrogging as a Statistical Programmer Jitendra Singh,
Kavita Dargan		 source
presentation source		 4
PHUSE EU 2023 Stoic OS: Installing Ancient Wisdom for Holistic Leadership in the Digital World Sascha Ahrweiler source
presentation source		 9
PHUSE EU 2023 The Curious Case of Observational Studies - A Programmer's Dilemma Vikas Shokeen source
presentation source		 11
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 Unleashing the Role of a Statistical Programmer in Expediting a Submission, Novartis Sowmya Singuluri source
presentation source		 7
PHUSE EU 2023 Will R/Shiny Provide a Novel Way for Study Teams to Review Clinical Data? Gustav Söderström source
presentation source		 3
WUSS 2023 How to Assemble Macros from Metadata and Execute them Karen Walker source 12
PharmaSUG 2023 Automated Mockup Table and Metadata Generator Jeff Cheng,
Shunbing Zhao,
Guowei Wu,
Suhas R. Sanjee		 source 12
PharmaSUG 2023 Comparison of My Experience Between an Independent Consultant and an Employee Kriss Harris source 11
PharmaSUG 2023 Display Layout Specifications to Flexibly Design and Generate Tables Songgu Xie,
Michael Pannucci,
Toshio Kimura		 source 11
PharmaSUG 2023 Importance of Creating a Learning Portal for Statistical Programming End-to-End Processes Donna Hyatt,
Brandy Cahill,
Yogesh Pande		 source 6
PharmaSUG 2023 Integrating Practices: How Statistical Programmers Differ and Align Within User Groups Valeria Duran,
Radhika Etikala,
Haimavati Rammohan		 source 15
PharmaSUG 2023 Lessons Learned from a Retired SAS Programmer Carey G. Smoak source 3
PharmaSUG 2023 Macro to Automate Creation and Sync of Shell Document and TOC Karen Walker,
Jeff Cao		 source 10
PharmaSUG 2023 Planning Your Next Career Move - Resume Tips for the Statistical Programmer Sapan Patel,
Lisa Pyle		 source 5
PharmaSUG 2023 Programmer-s Perspective: Step into Awareness Regarding Clinical Trial Deliverables and Their Impact Lyma Faroz,
Jinit Mistry		 source 10
PharmaSUG 2023 Strategies for Code Validation at Statistical Center for HIV/AIDS Research and Prevention (SCHARP) Marie Vendettuoli,
Xuehan (Emily) Zhang,
Rodger Zou		 source 13
PharmaSUG 2023 Submission survival guidelines for Statistical Programmers Mekhala Acharya,
Katlyn Buff,
Norihiko Oharu		 source 9
PHUSE US 2023 A Programmer's Point of View of Current and Future PD Detection T ools Meng Li source
presentation source		 6
PHUSE US 2023 Future Workforce: How to invest in your team through Innovative transformation Limna Salim source
presentation source		 8
PHUSE US 2023 Hey Statistical Programmer of Today, are You Future-Ready? [presentation] Sridhar Vijendra source
video		 15
PHUSE US 2023 SPECification DOCument (SPECDOC): Automating Text for Data Description, Statistical Methods, and Analysis Results for Medical Communications [presentation] Michael Pannucci source 20
PHUSE US 2023 The Evolving Role of Project Programmer in The Next 3-5 Years Vinay Gupta,
Manas Rout		 source 5
PHUSE US 2023 The Role of Open Source for Data Science, Engineering and Programming Teams in the Pharma Industry [presentation] Tadeusz Lewandowski,
Axel Muehlig		 source
video		 17
PHUSE US 2023 The Ultimate Update to ADaM Specification Template that Simplifies ADaM Programming and Creation of Define XML [presentation] Yuanyuan Liu,
Xiang Wang		 source
video		 18
PHUSE US 2023 Use of R Shiny to Simplify Tracking Data Issues Resolution Progress [presentation] Manohar Naidu Vemani,
Puli Raju Mandati		 source
video		 12
PHUSE US 2023 Validation of Figures Using an Image Recognition Approach Mor Ram-On source
presentation source		 9
PHUSE EU 2022 An Automated Approach to Generating Call Programs from an Analysis Request David Maher-McWilliams,
Michael Allie		 source
presentation source		 9
PHUSE EU 2022 Enabling the End-to-end Data Pipeline with the elluminate Clinical Data Cloud [presentation] Achilleas Zaras source 12
PHUSE EU 2022 FACT - Fast Access to Clinical Trial Insights [presentation] Julia Gnatek,
Steffen Vangsgaard		 source
video		 27
PHUSE EU 2022 Going through an AdCom with the FDA: The Ultimate Programming Experience Frederikke Høyer source
presentation source		 5
PHUSE EU 2022 Health Authorities Inspections: What to Expect? A Statistical Programmer Experience Alexander Carrington source
presentation source		 5
PHUSE EU 2022 How to Avoid Conformance Issues When Metadata Varies Across Parameters [presentation] Caroline Pelckmans,
Oussama Zineddine		 source
video		 24
PHUSE EU 2022 Managing Never-ending Extension Trials [presentation] Frederik Vandvig Heinen,
Lykke Pedersen		 source
video		 19
PHUSE EU 2022 Protocol Deviation Programming [presentation] Oussama Zineddine,
Caroline Pelckmans		 source
video		 25
PHUSE EU 2022 The Secret to Getting Your Dream Job Offer [presentation] Tom Oades source
video		 13
WUSS 2022 A Statistical Programmer's Growth Journey: It is More than Learning New Code Janette Garner source 6
WUSS 2022 So You Want to be a Successful Statistical Programmer?: The Importance of People Skills Carey G. Smoak source 4
PharmaSUG 2022 FDA Advisory Committee Meetings - A Statistical Programmer's Survival Guide Phil Hall source 8
PharmaSUG 2022 Introduction to Annual Reporting for Beginners! Akshita Gurram,
Mamatha Mada		 source 8
PharmaSUG 2022 Real Time Oncology Review Readiness from Programming Perspective Binal Mehta,
Patel Mukesh		 source 10
PharmaSUG 2022 Unravel the mystery around NONMEM data sets for statistical programmers Sabarinath Sundaram,
Lyma Faroz		 source 9
PHUSE US 2022 A Duet of SAS and Python Generating XML File for Results Disclosure to ClinicalTrials.gov and EudraCT [presentation] Linghui Zhang source
video		 16
PHUSE US 2022 Jumping on the Real-world Data (RWD)/Real-world Evidence (RWE) Bandwagon? A Guide for Statistical Programmers to Understand Payer Claims Data [presentation] Rachana Agarwal source
video		 13
PHUSE US 2022 Patient Registries - Challenges and Opportunities [presentation] Sophia Zilber source 20
PHUSE US 2022 The Finding is a Date [presentation] Lea Nørgreen Gustafsson,
Rasmus Kragh Nielsen		 source 26
PHUSE US 2022 Using the Geometric Properties of Datasets to Analyze the Accuracy of COVID-19 Forecasting Models [presentation] Irina Kotenko,
Kostiantyn Drach		 source 30
PHUSE US 2022 We R in SPACE (Statistical Programming And Computing Environment). And We R Not Alone! [presentation] Alastair Scarlett,
Sumesh Kalappurakal		 source 7
PHUSE EU 2021 Adapting Git to Novo and Novo to Git [presentation] Christian Olsen source
video		 40
PHUSE EU 2021 Building an SCE that Users Want to Use [presentation] Alastair Scarlett,
Chris Decker		 source
video		 9
PHUSE EU 2021 Design Your Future Path with Professional Development (PD01, PD02 & PD03) Emily Jones,
Henning Pontoppidan Föh		 source
presentation source		 5
PHUSE EU 2021 Design Your Future Path with Professional Development (PD01, PD02 & PD03) [presentation] Emily Jones,
Henning Pontoppidan Föh		 source 11
PHUSE EU 2021 FSP Associates: Team Player, But For Which Team? [presentation] Faheeza Rangunwala source
video		 19
PHUSE EU 2021 How to Grow as a Programmer in the Pharmaceutical Industry [presentation] Julie Barré source
video		 22
PHUSE EU 2021 Metadata: Errors Not Detected by the Pinnacle 21 Tool [presentation] Caroline Pelckmans,
Pamphile Beaujean		 source
video		 20
PHUSE EU 2021 New Starters Session: The Secret Sauce to Start in Our Industry [presentation] Amritpal Singh,
Lucie Bowden		 source 9
PHUSE EU 2021 New Starters Session: The Secret Sauce to Start in Our Industry [presentation] Amritpal Singh,
Lucie Bowden		 source 8
PHUSE EU 2021 New Starters Session: The Secret Sauce to Start in Our Industry [presentation] Amritpal Singh,
Lucie Bowden		 source 11
PHUSE EU 2021 Overview Projects Timeline to Arrange Statistical Programmer Resource via R Shiny KuenHung Lin source
video
presentation source		 5
PHUSE EU 2021 Programming Techniques to Enhance the Presentation of Forest Plot with SAS 9.4 [presentation] Zhen (Laura) Li source
video		 18
PHUSE EU 2021 Standing Room Only: TT04: Agile Programming: Towards a More Collaborative Programming Set-up [presentation] Bo Sølgaard Andersen,
Frederik Vandvig Heinen		 source 19
PHUSE EU 2021 Statistical Training for Health Technology Assessment Statistical Programmers Anastasia Kokoreva,
William Malbecq		 source
video
presentation source		 7
PHUSE EU 2021 The ABC of Managing a Standards Macro Library Amit Bhaniani,
Carl Herremans		 source
video
presentation source		 9
PHUSE US 2021 Building an SCE that Users Want to Use [presentation] Alastair Scarlett,
Chris Decker		 source
video		 9
PHUSE US 2021 COVID-19 Outbreak Visualization Using a Clinical Data Science Platform [presentation] Iryna Kotenko,
Sergey Glushakov		 source
video		 15
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 Hands-on Workshop: Data Storytelling [presentation] Sascha Ahrweiler source
video		 73
PHUSE US 2021 Leadership Presentations: LE01: The Power of Three [presentation] Alberto Montironi,
Ryan Krause		 source 15
PHUSE US 2021 Managing Multiple Versions of R in a Clinical Environment [presentation] Philip Bowsher,
Sean Lopp		 source
video		 19
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 Our Experience with Scrum and Kanban: Noob to Novice [presentation] Ari Siggaard Knoph,
Kristian Troejelsgaard		 source
video		 26
PHUSE US 2021 Standing Room Only Presentation: DH02: On the Other Side of the Fence: When Two Skill Areas Join Forces and Boundaries Dissolve [presentation] Mette Krogh Beyer,
Stine Ross		 source 15
PHUSE US 2021 Strengthening Relationships with External Business Partners in Statistical Programming - The Why and the How [presentation] Devang Bhatt,
Yongcun Zhang		 source
video		 12
PHUSE US 2021 VALSPEC Utility to Validate CDISC Specifications [presentation] Aman Bahl,
Hrideep Antony		 source
video		 12
PharmaSUG 2021 Design ADaM Specification Template that Simplifies ADaM Programming and Creation of Define XML in CDISC Era Xiang Wang,
Daniel Huang		 source 11
PharmaSUG 2021 How I became a Machine Learning Engineer from a Statistical Programmer Kevin Lee source 4
PharmaSUG 2021 Interactive Clinical Dashboards using R Studio Syam Prasad Chandrala,
Chaitanya Chowdagam		 source 20
PharmaSUG 2021 Macro to Compare Titles and Footnotes in Produced TLF and Corresponding Shells Igor Goldfarb,
Ella Zelichonok		 source 26
PharmaSUG 2021 Productionalizing Shiny Deployments Philip Bowsher,
Sean Lopp		 source 6
PharmaSUG 2021 R Reproducibility Best Practices for Pharma Philip Bowsher,
Sean Lopp		 source 4
PHUSE EU 2020 A Collaborative Approach to Analysis Standards [presentation] Margie Merlino,
Marleen Nijs		 source
video		 22
PHUSE EU 2020 Are We on the Same Page - Trial-level Metadata Based Upon Project Metadata [presentation] Bo Sølgaard Andersen,
Frederik Vandvig Heinen		 source
video		 18
PHUSE EU 2020 Checking the Completeness of Validated SAS Programs in LSAF [presentation] Herman Ament,
Jean-Marc Ferran		 source
video		 17
PHUSE EU 2020 I'm an Experienced Programmer: Why Would I Want to be a Line Manager? Diane Peers source
video
presentation source		 8
PHUSE EU 2020 IDEO, an Idea for Interactive and Visual Representations of Oncology Summary Statistics Charlotte Cheinin source
video
presentation source		 5
PHUSE EU 2020 Managing an International Statistical Programming Team in the Era of New Ways of Working Frédéric Coppin,
Harris Kampouris		 source
video
presentation source		 8
PHUSE EU 2020 NMPA Submission (Data Submission in China) [presentation] Marianne Carames,
Sujit Khune		 source
video		 23
PHUSE EU 2020 One Boy's Dream: Hitting a Homerun in the Bottom of the Ninth Inning [presentation] Carey G. Smoak source
video		 23
PHUSE EU 2020 Practicability of R in the Clinical Domain [presentation] Supraja Gorre source
video		 18
PHUSE EU 2020 The Evolution of Statistical Computing Environments: Time for a Quantum Leap? [presentation] Ali Dootson source
video		 22
PHUSE EU 2020 Use Cases of Google Sheets in Programming Applications [presentation] Carina Hillenbach source
video		 16
PHUSE EU 2020 Using R Shiny to Create and Expand Thumbnail Images [presentation] John Hendrickx source
video		 18
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 Building a Strong Remote Working Culture - Statistical Programmers Viewpoint Ravi Kankipati,
Prasanna Sondur		 source 4
PharmaSUG 2020 Impact of WHODrug B3/C3 Format on Coding of Concomitant Medications Lyma Faroz,
Jinit Mistry		 source 6
PharmaSUG 2020 One Boy's Dream: Hitting a Homerun in the Bottom of the Ninth Inning Carey G. Smoak source 5
PHUSE US 2020 Dual Roles: I'm not just a programmer! Laura Williams,
Hunter Vega		 source
presentation source		 5
PHUSE US 2020 Feedback to Feed Back Ankur Mathur,
Harper Forbes		 source
presentation source		 5
PHUSE US 2020 R & Python for Clinical Workflows Philip Bowsher source 13
PHUSE US 2020 R for Deep Learning with Tensorflow with Applications in Cancer Immunotherapy Philip Bowsher source 14
PHUSE US 2020 R Package Oriented Software Development Life Cycle in Regulated Clinical Trial Environments Rinki Jajoo,
Yalin Zhu		 source
presentation source		 12
PHUSE US 2020 Tables, Figures & Listings Metadata and Traceability Judith Goud,
Stephen Castellano		 source
presentation source		 9
PHUSE EU 2019 Deep Sequencing Koen Ven,
Chantal Kersten		 source
presentation source		 10
PHUSE EU 2019 Development of standard BIMO process to create clinsite dataset Hilde Delanghe source
presentation source		 8
PHUSE EU 2019 How Metadata Can Help Drive the Creation of Tables, Figures and Listings Judith Goud,
Stephen Castellano		 source
presentation source		 9
PHUSE EU 2019 Semi Auto-generated Narratives Bjarke Klein source
presentation source		 7
PHUSE EU 2019 Statistical Programming in the Future - Our Mindset, Data FAIRness and the Importance of Stakeholder Relationships Christoph Ziegler source
presentation source		 8
PHUSE EU 2019 The Importance of Feedback Donald Paterson source
presentation source		 5
PHUSE EU 2019 TS does not mean T(o) S(uffer) - A hands-on guideline for a better understanding of the TS domain Kristina Zweier source
presentation source		 14
WUSS 2019 Bespoke outputs, just like everyone else's: using the SAS Macro Language to create template programs for standard presentations of your client's clinical trial data Sean-Paul A. Claypool source 9
WUSS 2019 One Boy's Dream: Hitting a Homerun in the Bottom of the Ninth Inning Carey G. Smoak source 5
WUSS 2019 Python and R made easy for the SAS Programmer Janet J. Li source 5
PharmaSUG 2019 Advance Your Career with PROC TM! John M. LaBore,
Joshua M. Horstman		 source 6
PharmaSUG 2019 Begin with the End of Validation: Adapting QbD Approach in Statistical Programming to Achieve Quality and Compliance Excellence Linghui Zhang source 8
PharmaSUG 2019 Clinical Development Standards for FDA Bioresearch Monitoring (BIMO) Submissions Denis Michel,
Julie Maynard		 source 11
PharmaSUG 2019 Developing Analysis & Reporting Standards For Pharmaco-Epidemiology Observational Studies Bo Zheng,
Xingshu Zhu		 source 5
PharmaSUG 2019 ISS Challenges and Solutions for a Compound with Multiple Submissions in Parallel Aiming Yang source 4
PharmaSUG 2019 Lessons Learned from Teaching 250+ Life Science Analytics (LSAF) Classes to Our Colleagues at Janssen Research and Development. Margie Merlino,
Jeanne Keagy		 source 7
PharmaSUG 2019 Raising the Bar: CDASH implementation in a biometrics CRO Julie Barenholtz source 4
PharmaSUG 2019 Reimagining Statistical Reports with R Shiny Sudharsan Dhanavel,
Harinarayanan Gopichandran		 source 6
PharmaSUG 2019 Schoveing Series 4: Inspirational Leadership: Grow Yourself into a Class Act and an Unforgettable Leader! Priscilla Gathoni source 7
PharmaSUG 2019 Sponsor oversight: Proof is in the documents Shailendra Phadke source 4
PharmaSUG 2019 Use of SAS Merge in Adverse Events Reporting for DSUR Andrew Wang source 8
PharmaSUG 2019 Useful SAS techniques in Efficacy Analysis for Oncology studies Joy Zeng source 21
PharmaSUG 2019 Where Is the Information We Are Looking For? Jeff Xia source 8
PHUSE US 2019 An Overview of the PHUSE ML/AI Working Group Project Sairam Gorthi,
Kevin Lee		 source
presentation source		 4
PHUSE EU 2018 Path of Change - From Market Research to Clinical Trials Eniko Bront source
presentation source		 3
MWSUG 2018 How to Succeed in Consulting Chuck Kincaid 15
MWSUG 2018 Toward Adoption of Agile Software Development in Clinical Trials Troy Martin Hughes 7
WUSS 2018 Innovation and Your Career in a Rapidly Changing World of Job Titles: How Different is Data Scientist from What I Do? Richelle Serrano source 5
WUSS 2018 Machine Learning - Why we should know it and how it works Kevin Lee source 8
PHUSE US 2018 A Standardized Collaborative Approach for Statistical Programming Project Information Harper Forbes,
Christoph Ziegler		 source
presentation source		 4
PHUSE US 2018 Infrastructure Designed to Maximize Workflow Paul D. Hamilton source
presentation source		 9
PHUSE US 2018 Introducing Project Management and Emotional Intelligence to Statistical Programmers Wenyun Ji source
presentation source		 8
PHUSE US 2018 Row Row Row of Zeroes: Their Significance in Summary Tables and Subgroup Analyses Sridhar Vijendra,
Sumanth Horabail		 source
presentation source		 6
PHUSE US 2018 Secure Data Office: An Independent Team that Can Come to the Rescue in Blinded Trials Annelies Van Zeveren,
Yana Hoorne		 source
presentation source		 9
PHUSE US 2018 Upholding Ethics and Integrity: A macro-based approach to detect plagiarism in programming Sridhar Vijendra,
Praveen Kumar		 source
presentation source		 7
PharmaSUG 2018 Challenges & Strategies in PKPD Programming Jing Su,
Jiannan Kang		 source 6
PharmaSUG 2018 Developing Large SAS Macro Applications John Ingersoll source 13
PharmaSUG 2018 Framework for Critical Thinking - Introducing Lean Philosophy to Statistical Programmers Wenyun Ji source 6
PharmaSUG 2018 Infrastructure Designed to Maximize Workflow Paul D. Hamilton source 9
PharmaSUG 2018 Machine Learning - Why we should know and How it works Kevin Lee source 8
PharmaSUG 2018 Regulatory Compliance in the digital age - A cloud-based statistical computing environment (SCE) to the rescue Sridhar Vijendra,
Tyagrajan Swaminathan		 source 9
PharmaSUG 2018 Some Common Programming Errors and Possible Solutions That Could Impact a Successful NDA/BLA Amos Shu source 5
PharmaSUG 2018 Statistical Programming: Revolution, Evolution, or Status Quo? Jeffrey M. Abolafia,
Frank C. DiIorio		 source 9
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 ADaM Mapping - KeyConsiderations forMetadata Driven Realization Elenea Gathe source 12
PHUSE EU 2017 Dipping our Fingers into the World of Data Representation - A Visual Journey Using Encapsia Clinica Minola Ilica source
presentation source		 4
PHUSE EU 2017 REACTing to Data: The Use of Data Visualisation within Early Clinical StatisticalProgramming at AstraZeneca Shyamprasad Perisetla,
Suzanne Tautz		 source
presentation source		 6
PHUSE EU 2017 Statistical End User Tool Development Mickael Borne source
presentation source		 15
PHUSE EU 2017 The Secure Data Office Concept Annemie Van Dijck source
presentation source		 9
PHUSE EU 2017 The TFL Workbench:From Pilot to Production Iain Humphreys,
Hansjörg Frenzel		 source
presentation source		 11
PharmaSUG 2017 Let-s Check Data Integrity Using Statistical (SAS) Programmers with SAS Harivardhan Jampala source 17
PharmaSUG 2017 Multiple Imputation: A Statistical Programming Story Christopher J. Smith,
Scott Kosten		 source 16
PharmaSUG 2017 SAS and R Playing Nice Together David Edwards,
Bella Feng,
Brian Schultheiss		 source 3
PharmaSUG 2017 Statistician's secret weapon: 20 ways of detecting raw data issues Lixiang Larry Liu source 8
PHUSE EU 2016 Adventures in Data Science Kieran Martin source 9
PHUSE EU 2016 Fast and High-quality Validation Process Andrea Parodi,
Dimitri Petratchenko		 source
presentation source		 7
PHUSE EU 2016 How a Metadata Repository Enables Dynamism and Automation in SDTM-like SAS Dataset Generation Judith Goud,
Akana Shetty		 source
presentation source		 7
PHUSE EU 2016 How to Review a CRF - A Statistical Programmer's Perspective Elsa Lozachmeur source
presentation source		 7
PHUSE EU 2016 The Hardships of Finding your Way in Biometrics Evi Creebsburg source 4
PharmaSUG 2016 What makes a "Statistical Programmer" different from a "Programmer" Arun Raj Vidhyadharan,
Sunil Mohan Jairath		 source 12
PHUSE EU 2015 Facing Your Fear of the Unknown - Handling Missing Data Amanda Reilly source
presentation source		 7
PHUSE EU 2015 FDA Review Principles Applied to CRO Oversight Sascha Ahrweiler,
Grace Ignacio		 source
presentation source		 7
PHUSE EU 2015 From Data Management to Statistical Programming: A Real-Life Change Benjamin Lerbour source
presentation source		 5
PHUSE EU 2015 If I Had a Hammer Diana Stuart source
presentation source		 3
PHUSE EU 2015 Similarities and Differences in Statistical Programming Among CROs and Pharmaceutical Industries Mark Matthews source
presentation source		 7
PHUSE EU 2015 The Expanding Role of the Statistical Programmer Punitha Philip,
Minola Ilica		 source
presentation source		 4
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
WUSS 2015 No Regrets: Hiring for the Long Term in Statistical Programming Chris Moriak,
Graham Wilson,
Elizabeth Meeson		 source 7
PharmaSUG CN 2015 Why Statistical Analysis Plan (SAP) should be comprehensive. Riddhi Merchant,
Ranjith Prayankotveettil		 6
PharmaSUG 2015 Creating Sophisticated Graphics using Graph Template Language Kaitlyn McConville,
Kristen Much		 source 11
PharmaSUG 2015 Firefighters - clinical trial analysis teams Iryna Kotenko source 4
PharmaSUG 2015 No Regrets: Hiring for the Long Term in Statistical Programming Chris Moriak,
Graham Wilson,
Elizabeth Meeson		 source 7
PharmaSUG 2015 Schoveing Series 1: Motivating and Inspiring Statistical Programmers in the Biopharmaceutical Industry Priscilla Gathoni source 10
PharmaSUG 2015 Toward Adoption of Agile Software Development in Clinical Trials Troy Martin Hughes source 7
SESUG 2014 Stretching Data Training Methods: A Case Study in Expanding SDTM Skills Richard Addy source 4
PHUSE EU 2014 A Vision for the Future: Core Competencies for Statisticians and Programmers [presentation] James R. Johnson source 26
PHUSE EU 2014 Building the Next Generation Michael Hall source
presentation source		 3
PHUSE EU 2014 Communication - Building the Invisible Bridge Anindita Bhattacharjee source
presentation source		 9
PHUSE EU 2014 Concept for a Clinical Trial Reporting System Daniil Shliakhov source
presentation source		 2
PHUSE EU 2014 Development of Exploratory Statistical Programmers Based in India Jan Stefanek source
presentation source		 4
PHUSE EU 2014 Do You Like What You See? - Understanding Data in Magnetic Resonance Imaging Studies Oliver Wirtz source
presentation source		 7
PHUSE EU 2014 From ODM to SDTM: An End-to-End Approach Applied to Phase I Clinical Trials Alexandre Mathis source
presentation source		 5
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
PHUSE EU 2014 Life as a New Programmer Jeremy Gallien source
presentation source		 3
PHUSE EU 2014 Managing the Change - Evolving Statistical Programmers to Clinical Data Scientists Sascha Ahrweiler source
presentation source		 10
PHUSE EU 2014 Programming and Statistics in the Academics Environment [presentation] Arne Ring source 21
PHUSE EU 2014 Successfully Embracing Challenges to CDISC Standards [presentation] Elke Sennewald source 30
PHUSE EU 2014 Unuttered Questions of Statistical Programmers Aparajita Dey source
presentation source		 10
PharmaSUG 2014 From "Just Shells" to a Detailed Specification Document for Tables, Listings and Figures Supriya Dalvi source 13
PharmaSUG 2014 Pharma Company Questions and Answers Joseph J. Hantsch source 3
PharmaSUG 2014 Switching from PC SAS to SAS Enterprise Guide Zhengxin (Cindy) Yang source 13
PHUSE EU 2013 Array Today - Utilising the Power of Multi-Dimensional Array [presentation] Elas Lozachmeur,
Joseph Rowley		 source 16
PHUSE EU 2013 Hey You! Or to Whom it May Concern Kathryn Wright source 6
PHUSE EU 2013 Leading a Team When you are Note the Subject Matter Expert Vijay Reddi source
presentation source		 8
PHUSE EU 2013 Making of a Project Manager Manjusha Gode source
presentation source		 7
PHUSE EU 2013 Pain of Your Back(up) or Efficient Resourcing of Back-up Solutions for Programming Leads Adam Amborski source
presentation source		 5
PHUSE EU 2013 Spotfire for Statisticians and Statistical Programmers [presentation] Alistair Dootson,
Mark Demesmaeker		 source 17
NESUG 2013 Managing Statistical Programmers across the Great Divide: An Odyssey of CRO's, Big and Small Pharma and Biotech, and in NJ, CA and Boston Todd Case 3
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 SAS Programmer to Clinical SAS Programmer Gayatri Karkera,
Nehan Mohan		 source 7
PharmaSUG 2013 The Value of an Advanced Degree in Statistics as a Clinical Statistical SAS Programmer Mark Matthews,
Ying (Evelyn) Guo		 source 5
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
SGF 2013 Knowing When To Start, Where You Are, and How Far You Need To Go: Customized Software Tracks Project Workflow, Deliverables, and Communication Eric Vandervort source 14
PHUSE EU 2012 Changing SAS Discipline into the Life Science Sector Chris Gibby source
presentation source		 4
PHUSE EU 2012 Create Innovation Now! Colin Brown source
presentation source		 8
PHUSE EU 2012 Stress, Tips and Tricks Colin Brown source
poster source		 4
PHUSE EU 2012 Training Statistical Programmers on SAP Review Skills Sascha Ahrweiler source
presentation source		 7
SESUG 2012 Knowing When To Start, Where You Are, and How Far You Need To Go: Customized Software Tracks Project Workflow, Deliverables, and Communication Eric Vandervort source 14
PharmaSUG 2012 If You Can't Learn It From A Book, Why Are You Reading This? Stephen M. Noga source 6
WUSS 2011 Helping Students Become Effective Industry Statisticians: Supplementing Science with Data Savvy Aleksandra Stein source 5
PHUSE EU 2011 Programming for Early and Late Phase - really that different? Katherine Macey source
presentation source		 6
PHUSE EU 2011 Training Statistical Programmers on SAP Review Skills Sascha Ahrweiler source
presentation source		 7
NESUG 2011 Telecommuting SASuccessfully for SAS Programmers Mary N. Varughese,
Lisa Pyle,
Mei Dey		 9
PharmaSUG 2011 Brave New World: How to Adapt to the CDISC Statistical Computing Environment Jeffrey M. Abolafia,
Frank C. DiIorio		 source 11
PharmaSUG 2011 FAQ: Issues with Efficacy Analysis of Clinical Trial Data Using SAS Sandeep Sawant,
Nehan Mohan		 source 5
PharmaSUG 2011 Helping Students Become Effective Industry Statisticians: Supplementing Science with Data Savvy Aleksandra Stein,
Steven R. Kirby		 source 5
PharmaSUG 2011 Lessons Learned From Managing a New Statistical Programming Group Yong Zhao source 3
PharmaSUG 2011 Success As a Pharmaceutical Statistical Programmer Sandra Minjoe,
Mario Widel		 source 7
SGF 2011 If You Can't Learn It from a Book, Why Are You Reading This? Stephen M. Noga source 6
PHUSE EU 2010 The Anaylst Mindset in Statistical Programming Ryan Copping,
Ross Farrugia Roche		 source
presentation source		 4
SESUG 2010 If You Can't Learn It From A Book, Why Are You Reading This? Stephen M. Noga source 6
PharmaSUG 2010 Automating Comparison of Integrated Studies vs. Individual Studies Sandeep Kottam,
Sree Lakshmi Kalyani Tripuraneni		 4
PharmaSUG 2010 Evolving role of statistical SAS programmers in the pharmaceutical industry Venkata Sekhar Bhamidipati,
Haiping Zhou		 5
SGF 2010 Data Simulation for Piloting Clinical Trials Display Programs Brandon L. Welch,
Rita Slater		 source 9
PHUSE EU 2009 Clinical Database acceptance: what statistical review checks are necessary to validate a database? Genevieve Jehl source 12
PHUSE EU 2009 Crossing the Chasm: Simplifying Data Management with Perl and Metadata Stephen Baker source
presentation source		 9
PHUSE EU 2009 Standardization of data base: interaction between Biostatistics and Clinical Data Management [presentation] Céline Tendero source 12
PHUSE EU 2009 Take me for a test drive Christof Binder source 3
WUSS 2009 Beef Up Your Career: Job Survival Steps During This Economic Recession Raoul A. Bernal source 4
PharmaSUG 2009 Creating the Case Report Tabulation (CRT) for an NDA submission at the absolute last moment - NOT Christine Connolly,
Kevin King,
Amanda Tweed,
Steven Wong		 9
SGF 2009 Practice Makes Perfect: Training and Performing in the Pharmaceutical Industry Sunil Kumar Gupta source 10
WUSS 2008 Beef Up Your Career: Job Survival Steps During This Economic Recession Raoul A. Bernal source 4
PHUSE EU 2008 A game of snakes and ladders Kerry Gordon source 6
PHUSE EU 2008 Developing a clinical reporting system collaboratively under an Open Source software license. Ann Marie Martin source 7
PHUSE EU 2008 Exchange of Information for the Statistical Analysis and Reporting of PK Parameter Data Ann Cuijpers,
Sarah Rusch		 source 2
PNWSUG 2008 Introduction to Clinical Trials in Pharmaceutical Industry - From a SAS Programmer's Point of View [presentation] Wenyun Ji 19
NESUG 2008 Clinical-Data Acceptance Testing Procedure Sunil Kumar Gupta 15
NESUG 2008 Motivating Clinical SAS Programmers Daniel J. Boisvert,
Andy Illidge		 8
PharmaSUG 2008 CHECKERS, We are Keeping the Table Joseph J. Hantsch 7
PharmaSUG 2008 Clinical-Data Acceptance Testing Procedure Sunil Kumar Gupta 15
SGF 2008 Clinical-Data Acceptance Testing Procedure Sunil Kumar Gupta source 15
PHUSE EU 2007 DQC checker Ryan Finch source 7
PHUSE EU 2007 Electronic record validation Erik Leijskens,
Sini Marant		 source 2
PHUSE EU 2007 Web-enabling the Pharmaceutical sector Raymond Ebben,
Jules Van der Zalm		 source 14
PharmaSUG 2007 The Use of CDISC Standards in SAS from Data Capture to Reporting Andrew T. Fagan 21
PHUSE EU 2006 Global Resource Estimation Roy Ward source 12
PHUSE EU 2006 Roadmap for IT support of analysis/interpretation of data in drug discovery Franky De Cooman,
Rudi Verbeeck		 source 3
PHUSE EU 2006 The Use of CDISC Standards in SAS from Data Capture to Reporting Andrew T. Fagan source 21
WUSS 2006 Changing Careers to Become a SAS Programmer in the Biotech/Pharmaceutical Industry Sy J. Truong source 9
NESUG 2006 Developing and Managing a SAS Macro Library Carolyn Maass,
Margaret James,
Ginger Redner		 8
PharmaSUG 2006 Developing and Managing a SAS Macro Library Margaret James,
Carolyn Maass,
Ginger Redner		 7
PharmaSUG 2006 Transforming Business Requirements into System Solutions Yongcun Zhang 10
SUGI 2006 Developing, Managing, and Evaluating a Standard Macro System Albert Mo source 10
SUGI 2006 How to Grow a SAS Programmer Joanna Koft source 3
PharmaSUG 2005 De Morgan's Laws Revisited: To Be AND/OR NOT To Be Raoul A. Bernal,
Thousand Oaks		 4
PharmaSUG 2005 Some Statistical Programming Considerations for e-Submission Hang Pang 6
PharmaSUG 2005 The Role of Analysis Datasets in Successful FDA Advisory Meetings Sandy Chang 9
PharmaSUG 2005 To Macro or Not To Macro? Amy Gillespie,
Blue Bell		 8
SUGI 2005 SAS Certification: An End User's Review Sarbjit Rai source 8
NESUG 2004 Thumbs Up For ODS Graphics, But Don't Throw Out All Your SAS/GRAPH Programs! Richard M. Mitchell 16
NESUG 2004 Using SAS Drug Development as a Report Management Application Barry R. Cohen 8
PharmaSUG 2004 Using SAS Drug Development as a Report Management Application Barry R. Cohen 8
SUGI 2004 A Lightweight HTML Codebook Generator for Clinical Trial Data Lei Zhang source 11
SUGI 2004 Thumbs Up For ODS Graphics, But Don't Throw Out All Your SAS/GRAPH Programs! Richard M. Mitchell source 17
NESUG 2003 Using SAS Drug Development as a Report Management Application Barry R. Cohen 8
PharmaSUG 2003 Using SAS Drug Development as a Report Management Application Barry R. Cohen 8
PharmaSUG 2002 Using SAS Macros to Construct Items 5 and 11 of an Electronic Submission Elizabeth Dennis 4
NESUG 2000 A Submission Development Environment to Support SAS Programming and Related Activities During Clinical Data Analysis Barry R. Cohen 6
PharmaSUG 2000 A Submission Development Environment to Support SAS Programming and Related Activities During Clinical Data Analysis Barry R. Cohen 6
PharmaSUG 1998 SAS Techniques for Developing an Intranet Drug Safety Review System Dennis X. Tang,
Mickey Cheng		 10
NESUG 1995 A Simple Methodology for Developing Clinical Reporting Macros Paul M. Gilbert,
Steven Light		 6

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