| WUSS |
2026 |
Demystifying Regression Analysis Techniques with R |
Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao |
|
35 |
| WUSS |
2026 |
If a Warning Falls in a SAS Log and Nobody Reads It: Evaluating Generative AI as a First-Pass Reviewer for SAS Enterprise Guide Logs |
Patrick Leon |
source |
16 |
| WUSS |
2026 |
PROC PPF: Past, Present, and Future [presentation] |
Danny R. Modlin |
source |
10 |
| WUSS |
2026 |
The Agent That Asks the Questions: Autonomous Hypothesis Generation Over CDISC Trial Data with SAS |
Mehdi Hajmollaahmad Naraghi,
Lida Gharibvand |
source |
14 |
| PharmaSUG CN |
2026 |
Automating ADaM Specification with AI: Intelligent Generation, Risk Assessment, and Human-in-the-Loop Review |
Shuang Gao,
Yaohui Zhu,
Tingting Zeng,
Jinling Li,
Wei Wang |
source |
11 |
| PharmaSUG CN |
2026 |
Breaking Silos via Recycled Metadata: TOC-Driven Automation for Standard Title and Footnote Generation |
Tracy Cui |
source |
7 |
| PharmaSUG CN |
2026 |
Clarity: An AI-Powered Shiny Application for Natural Language-Driven Clinical Data Analysis |
Jinzhi Zhou,
Yusi Liu,
Dan Su,
Jie Liu |
source |
14 |
| PharmaSUG CN |
2026 |
CodeGenius 2026: Connecting Enterprise Metadata, Standards, Interactive Execution, and AI Coding Agents for Statistical Programming |
Jing Wang,
Yaohui Zhu,
Xuejie Zhou,
Jinling Li,
You Li |
source |
8 |
| PharmaSUG CN |
2026 |
From SAP to TFL: An AI-Assisted Workflow Framework for Automated Shells and TFLs |
Xiaoyu Ding,
Guoqing Zhao,
Huafeng Gao,
Zhiyuan Guo |
source |
18 |
| PharmaSUG CN |
2026 |
R in study validation |
Liang Han |
source |
7 |
| PharmaSUG |
2026 |
A Governed Git Workflow Using Azure Repos for GxP Compliant Statistical Programming |
Jing Yu |
source |
8 |
| PharmaSUG |
2026 |
A Human-in-the-Loop AI-Assisted Framework for ADaM Standardization |
Chunqiu Xia,
Feiyang Du |
source |
12 |
| PharmaSUG |
2026 |
Accelerating Open-Source AI with AWS Bedrock: Architecting LLM Integration with Posit Workbench & Positron |
Philip Bowsher |
source |
6 |
| PharmaSUG |
2026 |
AI-Enhanced R Shiny App for Real-Time Clinical TLF Coding and Preview |
Dickson Wanjau |
source |
15 |
| PharmaSUG |
2026 |
AI-First Leadership in Biometrics: Redefining Strategy, Teams and Execution in the Agentic AI Era |
Kevin Lee |
source |
7 |
| PharmaSUG |
2026 |
ARMed AutoTable Macro Agents: An ARM-Driven Framework for Automated Analysis Table Generation |
Chengxin Li |
source |
10 |
| PharmaSUG |
2026 |
Automated Delta Detection: A Scalable R-Shiny Framework for Comparing Clinical Datasets |
Prabhakara Rao Burma,
Latha Donapati |
source |
7 |
| PharmaSUG |
2026 |
Breaking the Shell: Validated R Workflows To Meet FDA Standards |
Danielle Stephenson,
Audrey Chin,
Madeleine Penniston |
source |
5 |
| PharmaSUG |
2026 |
Bridging the Gap: Table-Driven SAS Programming as a Pathway to AI in Clinical Trials Statistical Programming |
James Sun,
Vijaya Nadella,
Daniel Qi |
source |
15 |
| PharmaSUG |
2026 |
Building a Model Context Protocol Server for AI-Driven Workflow Automation |
Samiul Haque |
source |
4 |
| PharmaSUG |
2026 |
Closing the Expectation Gap: A Leadership Framework for Clinical Programming Success |
Yuka Tanaka-Chambers |
source |
14 |
| PharmaSUG |
2026 |
Delegation as a Quality Strategy: Building Accountable Biometrics Teams |
Steven Tan |
source |
5 |
| PharmaSUG |
2026 |
Eliminating QC Programming Duplication Through Claude AI-Assisted Independent Code Generation: A Practical Framework for Regulatory-Compliant Validation |
Jaime Yan,
Jason Zhang |
source |
13 |
| PharmaSUG |
2026 |
Engineering secure and reproducible R based clinical programming systems using open source DevSecOps practices. |
Indraneel Chakraborty |
source |
11 |
| PharmaSUG |
2026 |
Enhancing ADaM Specification Validation and Generation of SAS Codes Using LLM through Amazon Bedrock: A Practical Framework |
Pavan Kumar Tatikonda,
Ryo Nakaya,
Sravan Kongara |
source |
10 |
| PharmaSUG |
2026 |
Enhancing Quality and Efficiency in Clinical Programming with a Python-Based Automated File Comparison Tool |
Ratheesh Gunda |
source |
10 |
| PharmaSUG |
2026 |
Evaluation of Azure OpenAI ChatGPT API as Code Assistance Tools for Statistical Programming in SAS, R and Python. |
Ajay Gupta,
Misikir Tesfaye |
source |
25 |
| PharmaSUG |
2026 |
Friction to Flow: LLM-Based Automation of Clinical Data Workflows |
Pankaj Attri,
Matthew J. Becker |
source |
8 |
| PharmaSUG |
2026 |
From ChatGPT to Copilot: Evolving AI Support in SAS and Beyond |
Jyoti (Jo) Agarwal |
source |
10 |
| PharmaSUG |
2026 |
From Learner to Innovator: A Journey in R Empowered by AI to Enhance Narrative Review in Clinical Studies |
Shih-Che (Danny) Hsu |
source |
4 |
| 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 SAS Servers to AI Agentic SCEs: Integrating Agentic AI into GxP-Compliant Biometrics Workflows |
Kevin Lee |
source |
5 |
| PharmaSUG |
2026 |
From Statistical Programmer to Analytical Partner: Navigating the Future of Biostatistics |
Shivani Gupta |
source |
6 |
| PharmaSUG |
2026 |
Goodbye SAS, Hello R: Practical Workflows for CDISC Standards |
Madeleine Penniston,
Alyssa M. Wittle |
source |
12 |
| PharmaSUG |
2026 |
Implementation of Quality Tolerance Limits in Statistical Programming |
Yang Gao |
source |
4 |
| PharmaSUG |
2026 |
Investigator-Initiated Trials: Navigating Statistical Programming Challenges with Practical Solutions |
Vikas Patil,
Ramesh Sundaram |
source |
6 |
| PharmaSUG |
2026 |
It-s a Wonderful Lifecycle: Translating Statistical Programming into Modern Analytics Development |
Steve Nicholas |
source |
3 |
| PharmaSUG |
2026 |
Leading with Presence from Afar: Building Trust and Engagement in Distributed Biometrics Teams |
Steven Tan |
source |
5 |
| PharmaSUG |
2026 |
Leveraging LLMs in Data Science Web Applications: Beyond the Chat Interface |
Tyler Rowsell,
Nandini Thampi,
Dishank Jani,
Hao Xu |
source |
18 |
| PharmaSUG |
2026 |
Navigating Career Transitions: From Programmer to Executive Leader |
Steven Tan |
source |
7 |
| PharmaSUG |
2026 |
Navigating Early Career Challenges in PK/ADA Statistical Programming |
Diyu Yang,
Sandeep Meesala |
source |
11 |
| PharmaSUG |
2026 |
Navigating the Statistical Programming Strategies for Cytokine Release Syndrome (CRS) and ICANS in Oncology Clinical Trials. |
Murali Kanakenahalli,
Vamsi Kandimalla |
source |
9 |
| PharmaSUG |
2026 |
Perspectives on Leading Effectively in Platform Trials: Leadership and Technical Approaches |
Zhen (Laura) Li |
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 |
Schema-Preserving Generation of Clinical TLF Templates and Executable R Code via Iterative LLM-Guided Debugging |
Jaime Yan,
Ming Yang |
source |
18 |
| PharmaSUG |
2026 |
The Evolution of Open-Source Technologies in the Pharmaceutical Industry: Python as a Cost-Effective Solution for Clinical Statistical Programming |
Ramesh Potluri |
source |
9 |
| PharmaSUG |
2026 |
The Next Frontier of Statistical Programming: Vibe Coding with AI Coding Agents into SAS, R & Python |
Kevin Lee,
Nathan Lee |
source |
7 |
| PharmaSUG |
2026 |
TOON Format: A Token-Efficient Data Exchange Solution for AI-Enhanced Clinical Programming |
Saikrishnareddy Yengannagari |
source |
4 |
| PharmaSUG |
2026 |
Transitioning from SAS to R: Implementing Reproducible R Workflows for TLF Validation |
Poornima Alavandi |
source |
17 |
| PharmaSUG |
2026 |
Two Paths, One PK Journey: The Art of Balancing ADPC and ADNCA |
Ashok Abburi,
Rakhe Jacob,
Shibani Harite |
source |
7 |
| PharmaSUG |
2026 |
Unleash the R-volution: A Blueprint for Building Package Validation Capabilities in our own organization |
Kevin Lee |
source |
5 |
| PharmaSUG |
2026 |
Unleashing Open-Source Potential in SAS: The PharmaForest Ecosystem (proc pharmaforest data=open_source out=... ;) |
Sharad Chhetri,
Ryo Nakaya |
source |
7 |
| PharmaSUG |
2026 |
Virtual Data, Real Standards: Leveraging Data Simulation for Smarter Clinical Trials |
Sangeeta Shabadi,
Nitesh Patil,
Jonathan Henshaw |
source |
16 |
| PharmaSUG |
2026 |
Why Standards Matter More Than Code in the Age of GenAI |
Bhavin Busa |
source |
6 |
| PharmaSUG |
2026 |
Women Leadership in AI-Driven Clinical Programming: Navigating Intersectionality and Innovation |
Lida Gharibvand |
source |
31 |
| PHUSE US |
2026 |
Acquiring a Compound with Multiple Clinical Trials? Let's Get Ready for a Type C Meeting! Key Considerations for Preparing Its Regulatory Submission |
Mathura P. Ramanathan,
Kajal Tahiliani |
source
presentation source |
12 |
| 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 |
AI-Optimised AESI Flagging: Streamlined SAS Hash Table Logic with Dynamic CALL EXECUTE and Metadata-Driven Specifications |
Hang Zhong,
Rashad Rasul,
Jiaqi Hu |
source
presentation source |
12 |
| PHUSE US |
2026 |
Automated Programming Consistency Checks: Enhancing Clinical Programming Quality, Efficiency and Scalability |
Narendra Babu Kolisetty |
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 |
AutoProgramming: Agents Are All Y ou Need |
Chengxin Li |
source
presentation source |
11 |
| 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 |
Beyond the Hype: Practical Guidance for LLM Adoption in Statistical Programming |
Michael Goedde |
source
presentation source |
9 |
| 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 |
Bridging Analysis and Strategy: The Transformative Role of Statistical Analysts in Drug Development |
Lingsong Yun |
source
presentation source |
17 |
| PHUSE US |
2026 |
C&SP 203X Reinventing Clinical & Statistical programming for the AI - era [presentation] |
Sangeeta Bhattacharya |
source |
19 |
| PHUSE US |
2026 |
Case Study: Leveraging CDISC CORE for Proactive SDTM Compliance and Submission Readiness |
Shivani Gupta |
source
presentation source |
6 |
| PHUSE US |
2026 |
Clinical Programming in the Fast Lane: Accelerating with SAS |
Kim Peplinski |
source
presentation source |
7 |
| PHUSE US |
2026 |
Coding Clinical R with Confidence: Digital AI Assistant based on Self-Hosted LLMs |
Kostiantyn Drach |
source
presentation source |
8 |
| PHUSE US |
2026 |
Deceptive Twins: An Interactive Python Tool for Automated RTF Document Comparison in Clinical Submissions |
Aravind Gajula |
source
presentation source |
8 |
| 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 |
Demonstrations of AutoTable |
Chengxin Li |
source
presentation source |
11 |
| PHUSE US |
2026 |
DevOps for Clinical Data Science: A Leap into the Future of Clinical Analysis |
Frikkie Oppel,
Riaan Van Straaten |
source
presentation source |
6 |
| PHUSE US |
2026 |
Evolve Clinical Data Management: A Python-Based Framework for Clinical Data Transformation with Generative AI Integration |
Mitul Patel,
Denis Sokolov |
source
presentation source |
5 |
| 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 Data Cutoffs to Decision-Making: Programming Futility Analysis in Oncology Clinical Trials |
Mani Mudumba |
source
presentation source |
6 |
| PHUSE US |
2026 |
From Git Init to GitHub Push: A Complete Version Control Workflow for Statistical Programming |
Jeetender Chauhan |
source
poster source |
14 |
| PHUSE US |
2026 |
Influence Without Authority: Leadership Lessons for Statistical Programmers |
Steven Tan |
source
presentation source |
8 |
| PHUSE US |
2026 |
Integrating LLMs Using R Shiny for Clinical Data Review by Ensuring Data Privacy and Validity |
Peng Zhang |
source
presentation source |
5 |
| PHUSE US |
2026 |
Leadership Strategies and Practical Frameworks for Statistical Programming in a Multilingual Era |
Shaveta Bansal |
source
presentation source |
8 |
| PHUSE US |
2026 |
LLM-Powered Clinical Data Flow with Traceability - From Siloed Pipelines to a Semantic Fabric |
Pankaj Attri,
Matthew J. Becker |
source
presentation source |
8 |
| PHUSE US |
2026 |
Next Generation QC Workflow Optimisation: Current Practices and Future Directions from the Emerging Trends & Innovation Working Group |
Matthew Finnemeyer,
Caroline Phares |
source
presentation source |
13 |
| PHUSE US |
2026 |
Next-Gen Statistical Programming: AI as Your Coding Co-Pilot in R |
Sumesh Kalappurakal,
Mark Rothe |
source
presentation source |
17 |
| PHUSE US |
2026 |
Objects in Mirror Are Closer Than They Appear - How an Organisation Came Together to Accelerate Open Source Adoption |
Eileen Ching,
Benjamin Arancibia |
source
presentation source |
5 |
| PHUSE US |
2026 |
Optimising Flexibility and Consistency in Statistical Programming for Platform Trials: Practical Approaches to Data Cut, SDTM, ADaM and TFL Setup |
Kelly Fang,
Zhen (Laura) Li |
source
poster source |
6 |
| PHUSE US |
2026 |
Optimising Global Team Dynamics in Statistical Programming |
Padma Kishan Korsapati |
source
presentation source |
5 |
| PHUSE US |
2026 |
Orchestrating Efficiency: Symphony and Composer in Clinical Reporting |
Margaret Wishart,
Karma Tarap |
source
presentation source |
6 |
| PHUSE US |
2026 |
Privacy Considerations of Using RWD from a Statistical Programming Perspective |
Joe Xi,
Lorraine Fang |
source
presentation source |
4 |
| PHUSE US |
2026 |
Problem-First Agentic AI: Transforming Statistical Computing with Purposeful Automation |
Rajesh Hagalwadi |
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 |
Statistical Programming Methods for Evaluating the Impact of Immunogenicity on Safety and Efficacy Outcomes |
Dinesh Putluri,
Rakesh Padigala |
source
presentation source |
10 |
| PHUSE US |
2026 |
The AI Reckoning: Why Statistical Programmers Must Evolve Now |
Bhavin Busa |
source
presentation source |
6 |
| PHUSE US |
2026 |
The Use of Git in Statistical Programming |
Rita Pecuch,
Jim Coates |
source
presentation source |
9 |
| PHUSE US |
2026 |
The Year of Yes! How saying "Yes" Ignited GSK's R Adoption |
Becca Krouse,
Benjamin Arancibia |
source
presentation source |
5 |
| PHUSE US |
2026 |
Thriving in Change: Building People, Process and Technology Capabilities in Statistical Programming |
Ajay Aiyer |
source
presentation source |
5 |
| PHUSE US |
2026 |
Transforming Clinical Trials: Present Innovations and Future Paths with AI and Agentic Tools |
Sandeep Purwar |
source
presentation source |
5 |
| PHUSE US |
2026 |
Unseen, Unstoppable: The Art of Invisible Leadership |
Johnson Dsouza,
Syed Gayaz Basha |
source
presentation source |
4 |
| PHUSE US |
2026 |
Utilizing AI for Automated Conversion of ADaM Specifications to R Code |
Alice Ehmann,
Kjersten Offenbecker |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
Advancing Clinical Programming Through Centres of Excellence |
Surendra Yajamanam |
source
presentation source |
3 |
| PHUSE APAC |
2026 |
AI for Adverse Event Signal Detection: Moving Beyond |
Monika Monika |
source
presentation source |
10 |
| PHUSE APAC |
2026 |
An AI-Powered Digital Standards Library for Accelerated Regulatory Submissions |
Anshu Aman,
Varun Sethuraman |
source
presentation source |
4 |
| PHUSE APAC |
2026 |
Beyond Basics: Essential R Code Tips and Tricks for Clinical Programmers |
Sanjana Jayacumar |
source
presentation source |
6 |
| PHUSE APAC |
2026 |
Beyond Code: Elevating NextGen Statistical Programmers through Cross-Functional Learnings |
Saumil Tripathi |
source
presentation source |
7 |
| PHUSE APAC |
2026 |
Bridging Statistical Expertise Through Intuitive Design: A Modern Web Interface for Automated SAS Procedure Selection in Cardiovascular Clinical Trials |
Likith Gopikumar |
source
presentation source |
10 |
| PHUSE APAC |
2026 |
Cross-Platform Programming for Clinical Development: Practical Use of SAS, R, and Python |
Sandeep Lakkol,
Vinay S |
source
presentation source |
7 |
| PHUSE APAC |
2026 |
Don't Loop - Hash! Slashing Clinical Merge Times with Five-Line In Memory SAS Lookups |
Hayk Nazaryan |
source
presentation source |
5 |
| PHUSE APAC |
2026 |
Don’t Panic! Embracing AI as Your Superpower in Statistical Programming [presentation] |
Jiaqi Song,
Amruta Nambiar |
source |
37 |
| PHUSE APAC |
2026 |
Elevating transparency in data standardization Applying XAI in SDTM, ADaM, and TLF Generation |
Shakila Jagadeesan |
source
presentation source |
10 |
| PHUSE APAC |
2026 |
From Document to Derivation: Automating ADaM Variable and Endpoint Code Generation Using Study Specifications and Clinical Documents |
Alisha D,
Sruthy Biju |
source
presentation source |
6 |
| PHUSE APAC |
2026 |
From Vision to Implementation: Building the Data Caterer’s Kitchen at Bayer [presentation] |
Olivier Bouchard,
Sascha Ahrweiler |
source |
12 |
| PHUSE APAC |
2026 |
Next-Gen Statistical Programming in Clinical Trials: Driving Faster, Reliable, and Smarter Outcomes |
Shashikant Kumar,
Mrityunjay Kumar |
source
presentation source |
9 |
| 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 |
SAS to R: CHEAT SHEET - A Practical Guide for Clinical Programmers |
Lekitha JK,
Jalendhar Ettedi |
source
poster source |
24 |
| PHUSE APAC |
2026 |
SAS to R: Opportunities and Challenges in SDTM and ADaM Transformation |
Jalendhar Ettedi,
Padmashree Jahagirdar |
source
presentation source |
5 |
| PHUSE APAC |
2026 |
Seamless Reproducibility: Version-Aware Global Macro Invocation in Statistical Computing Environments |
Piyusha Mathur,
Shilpa Sood |
source
presentation source |
6 |
| PHUSE APAC |
2026 |
Streamlining Statistical Programming with R: ADaM and TLF Validation Through a Compliant R Programming Environment |
Mangesh Kalsekar |
source
presentation source |
10 |
| 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 |
Aspirations of language agnosticism - experiences expanding the programming stack with python |
Kaj Arai Hejlesen,
Michael Svingel |
source
presentation source |
9 |
| PHUSE EU |
2025 |
Automating RTF-to-PDF Conversion for BIMO Submissions: A Python-Based End-to-End Solution [presentation] |
Yi Yan,
Po-Chun Lin |
source |
15 |
| PHUSE EU |
2025 |
Beyond the Code: Evolving from Clinical Programmer to Strategic Partner in Clinical Trials |
Anastasiia Khoba |
source
presentation source |
4 |
| PHUSE EU |
2025 |
Beyond the Code: Leading Innovation from the Heart of Statistical Programming |
Bhavesh Patkar |
source
presentation source |
5 |
| PHUSE EU |
2025 |
Code, Collaborate, Conquer: The Future-Proof Programmer in an AI World |
James Shipley-Burgess |
source
presentation source |
4 |
| PHUSE EU |
2025 |
Detecting Logical Errors in Clinical Programming by Applying ChatGPT |
Illia Skliar |
source
presentation source |
9 |
| 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 |
Essential Conflict Management Tools for Emerging Leaders: From Tension to Transformation |
Satish Shetty,
Nalin Gupta |
source
presentation source |
4 |
| 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 Mock to Output: Using Generative AI to Write SAS Code for Standards-Based TFLs |
Kala Shivali,
Bhuvana Venkatappa |
source
presentation source |
16 |
| PHUSE EU |
2025 |
From Overload to Insight: Personal Knowledge Management for Clinical Data Scientists in the Age of Generative AI |
Sascha Ahrweiler |
source
presentation source |
9 |
| PHUSE EU |
2025 |
From Statistical Programming to AI Automation in Data Management: A Cross-Departmental Tech Journey |
Irene Luna,
Marcia Vaz |
source
presentation source |
5 |
| PHUSE EU |
2025 |
Guiding the direction of open-source development for faster end-to-end HTA submissions |
Christian Olsen |
source
presentation source |
10 |
| PHUSE EU |
2025 |
Implementing ADNCA in the PK Process: A Cross-Departmental Approach |
Daphne Vuurstaek,
Frédéric Saad |
source
poster source |
4 |
| PHUSE EU |
2025 |
Leveraging LLM for R Shiny App Code Development: A Case Study with Event Prediction [presentation] |
Yirong Cao |
source |
15 |
| PHUSE EU |
2025 |
Overcoming Challenges in Collaborative Spreadsheet Editing with Shiny, SpreadJS and JSON-Patch |
Kamil Foltynski,
Sebastià Barceló |
source
presentation source |
5 |
| PHUSE EU |
2025 |
Oversight of Vendor Deliverables: A Layered Approach for Statistical Programming |
Pramod Chittam,
Camille Raets |
source
poster source |
3 |
| PHUSE EU |
2025 |
Re-Inventing the Deliverable Tracker - from Excel to Dashboard |
Megan Harries |
source
presentation source |
8 |
| 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 |
Swarming Success: Optimising Efficiency in Statistical Programming |
Lea Zittlau,
Saskia Ständler |
source
presentation source |
10 |
| PHUSE EU |
2025 |
The Human Element: Synergising Emotional and Physical Intelligence in Statistical Programming Leadership |
Harris Kampouris,
Lino Jardim |
source
presentation source |
12 |
| PHUSE EU |
2025 |
Towards Managing Macro Libraries in an SCE: A Vision for Reproducibility Through Version Locking |
Shilpa Sood,
Priyanka Dharuvuri |
source
presentation source |
6 |
| 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 |
| PHUSE EU |
2025 |
Why I can't see myself coding that much anymore |
Angelo Wibbeler |
source
presentation source |
11 |
| MWSUG |
2025 |
Prompt, Program, Submit: Generative AI for Faster SDTM, ADaM, and TLFs |
Matthew J. Becker,
Pankaj Attri |
source |
7 |
| SESUG |
2025 |
Craft Your Career as a Statistical Programmer: Opportunities and Challenges at CROs vs. Pharmas |
Xiao Xiao |
|
6 |
| SESUG |
2025 |
Growing in Leadership: A Guide for Statistical Programmers |
Anil Jangili |
|
4 |
| WUSS |
2025 |
Prompt, Program, Submit: Generative AI for Faster SDTM, ADaM, and TLFs |
Matthew J. Becker |
source |
7 |
| WUSS |
2025 |
The Program Data Vector and Data Step Debugger [presentation] |
Charu Shankar |
source |
36 |
| PharmaSUG |
2025 |
An Introduction to the Role of Statistical Programming in Medical Affairs |
Nagadip Rao |
source |
9 |
| PharmaSUG |
2025 |
Building Resilient Teams |
Patrick Grimes,
Sajin Johnny |
source |
15 |
| PharmaSUG |
2025 |
Cytokine Release Syndrome (CRS) - Data Collection, Clinical Database Integration and Analyses in a Dose Escalation Cell Therapy Trial |
Cyrille Correia,
Venky Chakravarthy |
source |
13 |
| PharmaSUG |
2025 |
Debugging Options in R: Applications and Usage in Clinical Programming |
Madhusudhan Ginnaram,
Bingjun Wang,
Jeetender Chauhan,
Sarad Nepal |
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 |
Enhancing Clarity and Efficiency in Clinical Statistical Programming Task Management: An Automated Integrated Task Reporting Solution with Excel and Python |
Xinran Hu |
source |
10 |
| PharmaSUG |
2025 |
Essential Elements for an Effective New-Hire Training Handbook |
Ingrid Shu,
Xinhui Zhang |
source |
7 |
| 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 |
Optimizing SAS Programming Pipelines Using the %Unpack and %SearchReplace Macros for Version Control and Customization |
Ning Ning,
Assir Abushouk |
source |
8 |
| PharmaSUG |
2025 |
Our Second Brain: A Guide to Building Note System for SAS Programmer in Clinical Trial |
Zeyu Li |
source |
5 |
| PharmaSUG |
2025 |
PDFs Done Right: The Statistical Programmer-s Guide to Flawless Regulatory Submissions |
Srivathsa Ravikiran,
Sri Raghunadh Kakani |
source |
12 |
| PharmaSUG |
2025 |
Shiny & LLMs: Landscape and Applications in Pharma |
Philip Bowsher |
source |
17 |
| PharmaSUG |
2025 |
Slice, Dice, Analyze: Revolutionizing SDTM cuts with datacutr package |
Diego Madrigal Viquez |
source |
6 |
| PharmaSUG |
2025 |
Strategies to Encourage Adoption and Innovation in Statistical Programming |
Archana Gundamraju |
source |
6 |
| PharmaSUG |
2025 |
Transitioning External Clinical Studies to Internal: A Framework for Knowledge Transfer and Operational Excellence |
Chunqiu Xia,
Hong (Lily) Zhang,
Xiaohui Wang |
source |
6 |
| 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 |
An End-to-End Approach to Fine-Tuning Small LLMs for Generating Admiral R Code in Statistical Programming |
Tingting Tian,
Jaime Yan |
source
presentation source |
15 |
| PHUSE US |
2025 |
Automating SAS and R Code Interpretation and Debugging: A Practical Pipeline for Statistical Programmers |
Tingting Tian,
Jaime Yan |
source
presentation source |
13 |
| PHUSE US |
2025 |
Building High-Performing Biometrics Teams: The SELF-REINFORCING LOOP and Leadership in Clinical Trials |
Arman Melkonyan |
source
presentation source |
6 |
| PHUSE US |
2025 |
Demystifying the Handling and Mapping of External Data to CDISC Standards in Clinical Trials |
Murali Kanakenahalli,
Vamsi Kandimalla |
source
presentation source |
12 |
| PHUSE US |
2025 |
Efficient TFL Review within Statistical Programming - Using R and SAS |
Siddharth Kumar |
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 |
Let's Talk Future: Automated Solution for Standard-Compliant Data, Mock Shells and TFL Generation Using Open-Source Platforms with AI |
Inderjeet Arora,
Abhijeet Arora |
source
presentation source |
8 |
| 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 |
Navigating the Transition to a New Statistical Computing Environment: Streamlining Compliance and Operational Excellence |
Shilpa Sood,
Kala Shivalingaiah |
source
poster source |
11 |
| PHUSE US |
2025 |
Optimising Collaboration and Quality Control in Outsourced Statistical Programming |
Mukesh Patel,
Nilesh Patel |
source
presentation source |
7 |
| PHUSE US |
2025 |
Positron: Overview for Pharma |
Philip Bowsher,
Cole Arendt |
source
presentation source |
18 |
| PHUSE US |
2025 |
SASBuddy: Enhancing SAS Programming with Large Language Model Integration |
Derek P. Morgan,
Karma Tarap |
source
presentation source |
9 |
| PHUSE US |
2025 |
Transforming Clinical Trials with AI-Driven Protocol Optimization and Next-Gen Statistical Programming |
Ravindra Shukla |
source
presentation source |
8 |
| PHUSE EU |
2024 |
ADRG Builder Python Application |
Pierre Dostie |
source
presentation source |
16 |
| PHUSE EU |
2024 |
AI Got the Power: Streamlining Clinical Data Creation |
Emily Yates,
Matt Luppino,
Andrew Burd |
source
presentation source |
12 |
| PHUSE EU |
2024 |
An Experiment on the Use of Altair SLC for Clinical Study Analytics |
Mark Holland,
Michael Byrne |
source
presentation source |
9 |
| 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 |
Bridging Statistical Programming and Data Management: A Job Rotation Experience |
Frederikke Høyer |
source |
4 |
| PHUSE EU |
2024 |
Debugging Leadership: Cracking the Code of Statistical Programming Teams in Pharma |
Jessica Hirsch,
Vitali Gering |
source
presentation source |
2 |
| PHUSE EU |
2024 |
Four Languages, Three Years: An Agile Approach to Data Science [presentation] |
Shannon Haughton |
source |
11 |
| PHUSE EU |
2024 |
Generative AI: A Clinical Programmer's Friend! |
Karl Kennedy,
Daniel Ghali |
source
presentation source |
10 |
| PHUSE EU |
2024 |
How Agile Can you Be? Looking at Statistical Programming as a Software Development Process |
Oliver Wirtz,
Peter Bonata |
source
presentation source |
6 |
| PHUSE EU |
2024 |
Keynote Speaker - Maneesh Juneja [presentation] |
Maneesh Juneja |
source |
104 |
| PHUSE EU |
2024 |
Multilingual Programming Language (MPL): A Paradigm Shift in Clinical Programming |
Pavan Kumar KP |
source
presentation source |
2 |
| PHUSE EU |
2024 |
R Package Validation Maintenance - We Didn't Know What We Didn't Know |
Mark Sellors |
source
presentation source |
4 |
| 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 |
Starting a new Functional Service Provider relationship may be daunting and presents many challenges: Where do we start?! |
Nicky Lawrence |
source
presentation source |
5 |
| PHUSE EU |
2024 |
The Open SCE: A Call to Action One Year Later |
Caroline Phares,
Pascal Bouquet |
source
presentation source |
6 |
| PHUSE EU |
2024 |
Theory to Practice: Harnessing R to Enhance Workflows |
Joana Marques Barros,
Matthew Brierley |
source
presentation source |
11 |
| SESUG |
2024 |
The Essentials Given - Becoming an Expert of Statistical Programming in Pharma & Health Care Industry |
Hongbo Li |
source |
5 |
| PharmaSUG CN |
2024 |
An R Shiny Application to Check Technical Conformance and Validation Criteria in NMPA Electronic Disc Submission |
Junfan Zhang,
Wang Zhang |
source |
14 |
| PharmaSUG CN |
2024 |
E9(R1) Program Practice and Its Application in Sensitivity Analysis |
Dawei Jiao |
source |
6 |
| PharmaSUG CN |
2024 |
Implementing Statistical Methods in Companion Diagnostic: A Case Study in NSCLC |
Danxia Hu,
Mandy Gao,
Jianyong Tong |
source |
10 |
| 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 CN |
2024 |
Technical Stack for Automation and Intelligence Development in Statistical Programming at BeiGene |
Jinling Li |
source |
18 |
| PharmaSUG |
2024 |
A Change is Gonna Come: Maintaining Company Culture, Managing Time Zones, and Integrating Teams after a Global Acquisition |
Lydia King |
source |
3 |
| PharmaSUG |
2024 |
Agile Sponsor Oversight of Statistical Programming Activities |
Manuela Koska,
Veronika Csom |
source |
6 |
| PharmaSUG |
2024 |
BIMO Brilliance: Your Path to Compliance Resilience |
Jai Deep Mittapalli,
Girish Kankipati |
source |
5 |
| 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 |
Embracing Diversity in Statistical Computing Environments: A Multi-Language Approach |
Amit Javkhedkar,
Sridhar Vijendra |
source |
6 |
| PharmaSUG |
2024 |
GenAI to Enhance Your Statistical Programming |
Philip Bowsher |
source |
13 |
| PharmaSUG |
2024 |
I Want to Break Free: CRF Standardization Unleashing Automation |
Laura Fazio,
Andrew Burd,
Emily Murphy,
Melanie Hullings |
source |
6 |
| PharmaSUG |
2024 |
LLM-Enhanced Training Agent for Statistical Programming |
Jason Zhang,
Jaime Yan |
source |
8 |
| PharmaSUG |
2024 |
Ongoing Trends and Strategies to Fine-tune the CRO/Sponsor Partnership - Perspectives from Statistical Programming |
Mathura P. Ramanathan |
source |
10 |
| PharmaSUG |
2024 |
Periodic safety reports of clinical trials |
Murali Kanakenahalli,
Annette Bove,
Smita Sehgal |
source |
8 |
| PharmaSUG |
2024 |
Quality Assurance within Statistical Programming: A Systemic Way to Improve Quality Control |
Todd Case,
Margaret Huang |
source |
4 |
| PharmaSUG |
2024 |
Readlog Utility: Python based Log Tool and the First Step of a Comprehensive QC System |
Zhihao Luo |
source |
20 |
| PharmaSUG |
2024 |
Standardization of the Patient Narrative Using a Metadata-driven Approach |
Kuldeep Sen |
source |
8 |
| PHUSE US |
2024 |
AI-Enhanced Chatbot for Streamlined Clinical Trial Analysis and Document Management |
Jaime Yan |
source
presentation source |
7 |
| 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 |
Empowering Excellence: Strategies for Cultivating a Culture of Bold Decision-Making in Teams |
Mark Bynens |
source |
8 |
| PHUSE US |
2024 |
Navigating the Safe Integration of AI (ChatGPT) into Clinical Trials Programming Workflow |
Mykyta Vysotskyi |
source
presentation source |
10 |
| 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 |
The Implementation of Scrum in Pharmaceutical Data Analytics and Statistical Programming at Jazz Pharmaceuticals |
Eliana D'Angelo |
source
presentation source |
6 |
| 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 |
Whodunnit? Automation Tools Accelerate Statistical Analysis in an SCE with Full Compliance [presentation] |
Shivoy Pandita,
Jörn Bilow |
source |
13 |
| PHUSE EU |
2023 |
Connecting the Dots to Shape Our Future. The Exciting Journey of an Evolving Statistical Programming Team |
Alberto Montironi |
source
presentation source |
4 |
| PHUSE EU |
2023 |
InnerSource: A Stepping Stone Towards Open Source in Statistical Programming |
Jeppe Juul |
source
presentation source |
3 |
| PHUSE EU |
2023 |
Management impact on Employee Engagement - Statistical Programmers in Focus |
Wickus Bronkhorst |
source
presentation source |
7 |
| PHUSE EU |
2023 |
Optimising a (Supposedly) Reusable Program to Reduce the Need for Manual Changes |
Panteleo Nacci |
source
presentation source |
23 |
| PHUSE EU |
2023 |
Real-Time Safety and Medical Review by Integrating Data Visualisations with an SCE |
Shivoy Pandita,
Santhoshi Madeswaran |
source
presentation source |
8 |
| PHUSE EU |
2023 |
Road to Rome or Roaming - A Reprise [presentation] |
Francis Kendall,
Christian Mueller |
source |
32 |
| PHUSE EU |
2023 |
SAS Macro Development Using ChatGPT |
Karma Tarap |
source
presentation source |
8 |
| PHUSE EU |
2023 |
SAS Task: Three Ways [poster] |
Simon Woods |
source |
1 |
| PHUSE EU |
2023 |
Statistical Programming - Hiring Mission Made Possible |
Christoph Ziegler,
Donald Paterson |
source
presentation source |
4 |
| 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 |
| PharmaSUG |
2023 |
Automated Mockup Table and Metadata Generator |
Jeff Cheng,
Shunbing Zhao,
Guowei Wu,
Suhas R. Sanjee |
source |
12 |
| PharmaSUG |
2023 |
How to Promote Yourself |
Joshua M. Horstman |
source |
5 |
| 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 |
Key Statistical Programming Considerations in External Collaborative Clinical Trials |
James Zhao,
Hong Qi,
Mary N. Varughese |
source |
4 |
| PharmaSUG |
2023 |
Making Multilingual Programmers - A Targeted Approach to R for Clinical Trials Training |
Jagan Mohan Achi,
Ashley Tarasiewicz |
source |
5 |
| PharmaSUG |
2023 |
Planning Your Next Career Move - Resume Tips for the Statistical Programmer |
Sapan Patel,
Lisa Pyle |
source |
5 |
| PharmaSUG |
2023 |
Rate Setting |
Joshua M. Horstman |
source |
5 |
| 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 |
The implementation of Scrum in Pharmaceutical Data Analytics and Statistical Programming |
Jagan Mohan Achi,
Eliana D'Angelo |
source |
7 |
| 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 |
AccelerateR - Utilising Supporting and Mentoring for Delivering a Statistical Package in R [presentation] |
Benjamin Arancibia |
source
video |
17 |
| PHUSE US |
2023 |
Building and Managing High Performing Teams [presentation] |
Abraham Pulavarti |
source |
15 |
| PHUSE US |
2023 |
FDA Dataset Walkthrough - Statistical Programming Perspectives |
Ketan Durve,
Rachit Desai |
source
presentation source |
7 |
| PHUSE US |
2023 |
Future Workforce: How to invest in your team through Innovative transformation |
Limna Salim |
source
presentation source |
8 |
| PHUSE US |
2023 |
Innovate Clinical Trial Reporting with Open Source |
Soma Sekhar Sriadibhatla,
Francis Kendall |
source
presentation source |
4 |
| PHUSE US |
2023 |
Modernizing & Transforming the Delivery of Analysis and Results from Clinical Trials through an Interactive and Dynamic Data Visualization Application [presentation] |
Dan Schramek,
Neharika Sharma |
source
video |
17 |
| PHUSE US |
2023 |
New Application Adaptation with Business Continuity [presentation] |
Subhayan Das,
Kala Shivali |
source
video |
12 |
| PHUSE US |
2023 |
Reproducibility of Interactive Analyses |
Matthew Kumar,
Srinivas Veeragoni |
source
presentation source |
9 |
| PHUSE US |
2023 |
Retain and Grow the Talent in Statistical Programming |
Madhusudhan Reddy Papasani |
source
presentation source |
6 |
| PHUSE US |
2023 |
Reviewing External Vendor Data Transfer Specifications from a Programming Standpoint |
Mahesh Minnakanti |
source
presentation source |
5 |
| PHUSE US |
2023 |
Submission Experience with Real-Time Oncology Review, Project Orbis, and Priority Review |
Anna Liu,
Sai Ma |
source
presentation source |
5 |
| 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 Functional Service Provider Model: A Comprehensive and Collaborative Solution [poster] |
David J. Polus,
Jim Baker |
source |
1 |
| 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 |
Trials Are Out - Pools Are In [presentation] |
Ari Siggaard Knoph |
source
video |
39 |
| PHUSE US |
2023 |
Visual Guidance: Monitoring Data Fitness and Study Progress in an SCE [presentation] |
Jörn Bilow |
source
video |
12 |
| PHUSE EU |
2022 |
A Hitchhiker's Guide to the Corporate World for Newbies |
Ritika Aggarwal |
source
presentation source |
5 |
| PHUSE EU |
2022 |
Building a Trial Pipeline with R Markdown and RStudio Connect [presentation] |
Ari Siggaard Knoph,
Kristian Trøjelsgaard |
source
video |
18 |
| PHUSE EU |
2022 |
Data Catalogues - The new Showman to organize your data, A CRO perspective |
Limna Salim |
source
presentation source |
8 |
| PHUSE EU |
2022 |
Going through an AdCom with the FDA: The Ultimate Programming Experience |
Frederikke Høyer |
source
presentation source |
5 |
| 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 |
Managing Never-ending Extension Trials [presentation] |
Frederik Vandvig Heinen,
Lykke Pedersen |
source
video |
19 |
| PHUSE EU |
2022 |
R for Submission - Experiences from the R Consortium Working Group [presentation] |
Ari Siggaard Knoph |
source
video |
16 |
| PHUSE EU |
2022 |
R Shiny Application for Exploring Deep Sequencing Data [presentation] |
Annemie Van Dijck,
Ilse Augustyns |
source
video |
32 |
| PHUSE EU |
2022 |
Reflections on the First Year with Git [presentation] |
Christian Olsen |
source |
39 |
| PHUSE EU |
2022 |
Shiny-tise Your PROC COMPAREs: An Interactive Shiny Application for Data Review and Comparisons [presentation] |
Paul Jenkins |
source
video |
34 |
| PHUSE EU |
2022 |
The Friendly Mapper - To Map Better Together! [presentation] |
Rajesh Saha |
source
video |
9 |
| PHUSE EU |
2022 |
The Role of Data Analytics Functions in Studies Utilising RWD for Submissions [presentation] |
Mark Graham,
Ravi Bahia |
source
video |
15 |
| PHUSE EU |
2022 |
What History Teaches Us in Designing a Modern Statistical Computing Environment [presentation] |
Caroline Phares |
source
video |
11 |
| PHUSE EU |
2022 |
Who is Subject X? [presentation] |
Vicky Poulsen,
Henning Pontoppidan Föh |
source
video |
26 |
| WUSS |
2022 |
The Functional Service Provider Model: A Comprehensive and Collaborative Solution |
Jim Baker,
David J. Polus,
John Kurtz |
source |
10 |
| PharmaSUG |
2022 |
Automation of Variable Name and Label Mapping from Raw Data to Analysis Data Standards |
Xingshu Zhu,
Bo Zheng,
Li Ma |
source |
9 |
| PharmaSUG |
2022 |
Connecting SAS and Smartsheet to Track Clinical Deliverables |
Gregory T. Weber,
Steven Hege,
Siddharth Kumar |
source |
8 |
| PharmaSUG |
2022 |
FDA Advisory Committee Meetings - A Statistical Programmer's Survival Guide |
Phil Hall |
source |
8 |
| PharmaSUG |
2022 |
Implementing and Achieving Organizational R Training Objectives |
Jeff Cheng,
Abhilash Chimbirithy,
Amy Gillespie,
Yilong Zhang |
source |
8 |
| PharmaSUG |
2022 |
Orchestrating Clinical Sequels with a Strategic Wand - Challenges of introducing Rolling CSRs in a Master Protocol |
Neharika Sharma |
source |
9 |
| PharmaSUG |
2022 |
Pharmacokinetics Concentration Data Deciphered - Presenting an Oncology Case Study |
Nikita Sathish |
source |
9 |
| PharmaSUG |
2022 |
Using R-Shiny Capabilities in Clinical Programming to create Applications |
Prakasam R,
Sujatha Kandukuri,
Tyagrajan Swaminathan |
source |
12 |
| PHUSE US |
2022 |
Design ADSL and ADBASE in Cell Therapy [presentation] |
Ryan Krause,
Xiang Wang |
source
video |
24 |
| PHUSE US |
2022 |
High-quality COVID Vaccine Submission at Lightning Speed [presentation] |
Helen Yang,
Kiran Challagali |
source |
9 |
| PHUSE US |
2022 |
Patient Registries - Challenges and Opportunities [presentation] |
Sophia Zilber |
source |
20 |
| PHUSE US |
2022 |
Real-world Evidence of Mental Health During and After COVID-19 [presentation] |
Jaganadha Rao Gundu |
source |
24 |
| PHUSE US |
2022 |
SPACE - Launching GSK Biostatistics towards new horizons |
Eileen Ching |
source
presentation source |
10 |
| PHUSE US |
2022 |
Statistical Programming Operational Review Dashboard [presentation] |
Kathleen J. Harkins,
Shuqi Zhao |
source
video |
16 |
| PHUSE US |
2022 |
The Finding is a Date [presentation] |
Lea Nørgreen Gustafsson,
Rasmus Kragh Nielsen |
source |
26 |
| PHUSE US |
2022 |
The Future is Now [presentation] |
Amy Gillespie,
Ellen L. Asam |
source |
23 |
| PHUSE US |
2022 |
Timber! Creating Logs and Addins for Audit-ready R Code [presentation] |
Benjamin Straub |
source |
8 |
| 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 US |
2022 |
Which Side of the Fence Are You On? A Head of Statistical Programming's Perspectives Working for Sponsors and CROs [presentation] |
Clio Wu |
source |
15 |
| PHUSE EU |
2021 |
A Beginner's Guide to Data Analysis |
Shuva Dey |
source
video |
15 |
| PHUSE EU |
2021 |
Building an SCE that Users Want to Use [presentation] |
Alastair Scarlett,
Chris Decker |
source
video |
9 |
| PHUSE EU |
2021 |
Code Sharing is Caring [presentation] |
Lucy Palmen |
source
video |
16 |
| 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 |
EMA Panel Discussion: What Might the Future Landscape of Submitting Data Look Like in 2025 ? [presentation] |
Eftychia-Eirini Psarelli,
Jesper Kjær |
source |
11 |
| PHUSE EU |
2021 |
Hey, Data Scientist: Are You Following the Rules and Your Conscience? [presentation] |
Lisa Brooks,
Dhananjay Chhatre |
source
video |
22 |
| PHUSE EU |
2021 |
How to Grow as a Programmer in the Pharmaceutical Industry [presentation] |
Julie Barré |
source
video |
22 |
| PHUSE EU |
2021 |
How to Handle Large Data Volumes in SDTM Using Continuous Glucose Monitoring as an Example [presentation] |
Ari Siggaard Knoph,
Martin Gram |
source
video |
14 |
| PHUSE EU |
2021 |
New Starters Session: The Secret Sauce to Start in Our Industry [presentation] |
Amritpal Singh,
Lucie Bowden |
source |
7 |
| PHUSE EU |
2021 |
No XSLX Engine in SAS? No XLSX Problem [presentation] |
Will Greenway |
source
video |
22 |
| PHUSE EU |
2021 |
Standing Room Only: RW08: The Convenient Structure of the OMOP CDM [presentation] |
George Allerston,
Khaleeq Mannan |
source |
20 |
| 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 |
The Concept of IoT - The Next Generation of Statistical Computing Platform [presentation] |
Huadan Li,
Zhiping Yan |
source
video |
20 |
| PHUSE EU |
2021 |
The Good, The Bad and The Ugly Styles of Line Management [presentation] |
Emma O'Brien,
Robert Croft |
source
video |
23 |
| PHUSE US |
2021 |
A Well Design QC Toolkit for Clinical Programming Compliance Checking [presentation] |
Huei-Ling Chen,
Sandeep Meesala |
source
video |
30 |
| PHUSE US |
2021 |
Building an SCE that Users Want to Use [presentation] |
Alastair Scarlett,
Chris Decker |
source
video |
9 |
| PHUSE US |
2021 |
China Center for Drug Evaluation, NMPA Electronic Study Data Submission Requirements [presentation] |
Majdoub Haloui,
Yanhong Li |
source
video |
16 |
| PHUSE US |
2021 |
COVID-19 Outbreak Visualization Using a Clinical Data Science Platform [presentation] |
Iryna Kotenko,
Sergey Glushakov |
source
video |
15 |
| 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 |
Developing R Package Capability in a Historically SAS-based Organization - The GSK Clinical Programming Experience [poster] |
Benjamin Straub,
Michael Rimler |
source |
1 |
| 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 |
Is it ART? An Application of TransCelerate's MoA Framework for Assessing Accuracy, Reproducibility and Traceability in Novel Software Implementations [presentation] |
Michael S Rimler,
Tim Kuhn |
source |
20 |
| PHUSE US |
2021 |
Leadership Presentations: LE01: The Power of Three [presentation] |
Alberto Montironi,
Ryan Krause |
source |
15 |
| PHUSE US |
2021 |
Leadership Presentations: LE02: How to Build Knowledge Capacity for a High-performance Team [presentation] |
Xiaohui Wang |
source |
14 |
| PHUSE US |
2021 |
Leadership Presentations: LE06: One Sprint at a Time - Agile Transformation in Clinical Research [presentation] |
Aman Bahl,
Steve Benjamin |
source |
17 |
| PHUSE US |
2021 |
Open-Source Development for Traditional Clinical Reporting [presentation] |
Michael Stackhouse,
Nathan Kosiba |
source
video |
12 |
| PHUSE US |
2021 |
Our Experience with Scrum and Kanban: Noob to Novice [presentation] |
Ari Siggaard Knoph,
Kristian Troejelsgaard |
source
video |
26 |
| PHUSE US |
2021 |
Patient Registries - New Gold Standard for Real World Data [presentation] |
Lavanya Peddibhotla,
Sivasankar Konda |
source
video |
14 |
| PHUSE US |
2021 |
Process Optimization for Submissions Participating in the FDA's Real Time Oncology Review Pilot Program [poster] |
Grace Sun,
Kevin Liu |
source |
1 |
| PHUSE US |
2021 |
Standing Room Only Presentation: CT05: Programmatic Approach to Ensure Data Package Contents [presentation] |
Simon Xue,
Tanmay Khole |
source |
9 |
| PHUSE US |
2021 |
Standing Room Only Presentation: SP11: Agile Development Methodology for Delivery of the Clinical Data Pipeline [presentation] |
Benjamin Arancibia,
Michael S Rimler |
source |
21 |
| PHUSE US |
2021 |
Statistical Programming Team Contributions to Registrational Clinical Research Collaborations (rCRCs) [poster] |
Norihiko Oharu,
Yan Shen |
source |
1 |
| 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 |
Template of Analysis Reviewer's Guide in Oncology [presentation] |
Hong Qi,
Mary N. Varughese |
source
video |
19 |
| PHUSE US |
2021 |
VALSPEC Utility to Validate CDISC Specifications [presentation] |
Aman Bahl,
Hrideep Antony |
source
video |
12 |
| PharmaSUG |
2021 |
Bookdown and Blogdown: Deep dive of the R packages and components needed to create documentation and websites. |
Benjamin Straub |
source |
10 |
| PharmaSUG |
2021 |
Bookdown and Blogdown: Using R packages to document and communicate new processes to Clinical Programming |
Benjamin Straub |
source |
11 |
| PharmaSUG |
2021 |
How I became a Machine Learning Engineer from a Statistical Programmer |
Kevin Lee |
source |
4 |
| PharmaSUG |
2021 |
Leadership and Programming |
Kriss Harris |
source |
6 |
| PharmaSUG |
2021 |
Manage SAS Log in Clinical Programming |
Yuping Wu |
source |
4 |
| PharmaSUG |
2021 |
Open-Source Development for Traditional Clinical Reporting |
Michael Stackhouse,
Nathan Kosiba |
source |
6 |
| PHUSE EU |
2020 |
A Rose By Any Other Name - Our Experience with an RTOR-like Neuroscience Filing [presentation] |
Dave Summers,
Emma Moore |
source
video |
14 |
| PHUSE EU |
2020 |
Data Collection Time Point - Challenges with Analysis and Submission [presentation] |
Aayush Bhoraskar,
Sanket Kalyankar |
source
video |
11 |
| PHUSE EU |
2020 |
How to Act with Actigraphy Data [presentation] |
Subhamoy Bhattacherjee |
source
video |
13 |
| 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 |
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 |
Replicating the CDISC Pilot Project Submission Project Using R and pharmaRTF [presentation] |
Michael Stackhouse |
source
video |
20 |
| PHUSE EU |
2020 |
Strategies for Writing the ADRG [presentation] |
Ari Siggaard Knoph,
Karina Rostgaard Stender |
source
video |
15 |
| PHUSE EU |
2020 |
Strengthening Relationships with External Business Partners in Statistical Programming - The Why and the How [presentation] |
Christoph Ziegler |
source
video |
10 |
| PHUSE EU |
2020 |
Teaching an Old Dog New Tricks with Python [presentation] |
Donald Paterson |
source
video |
34 |
| PHUSE EU |
2020 |
Using Software Development Principles and Tools to Create an R Package for Data Analysis Optimisation [presentation] |
Emanuil Markov,
Svetomir Hitov |
source
video |
19 |
| SGF |
2020 |
Let's See Further than One Observation: Applying Hash Objects for Typical Clinical Programming Tasks |
Valeriia Oreshko |
source |
10 |
| SGF |
2020 |
Statistical Programming in the Pharmaceutical Industry: Advancing and Accelerating Drug Development |
Harper Forbes |
source |
10 |
| PharmaSUG |
2020 |
Analysis Package e-Submission - Planning and Execution |
Abhilash Chimbirithy,
Saigovind Chenna,
Majdoub Haloui |
source |
8 |
| PharmaSUG |
2020 |
Assessing Performance of Risk-based Testing |
Amber Randall,
Bill Coar |
source |
11 |
| PharmaSUG |
2020 |
Leading without Authority: Leadership At All Levels |
Janette Garner |
source |
7 |
| PharmaSUG |
2020 |
Normal is Boring, Let's be Shiny: Managing Projects in Statistical Programming Using the RStudio Shiny App |
Girish Kankipati,
Hao Meng |
source |
9 |
| PharmaSUG |
2020 |
One Boy's Dream: Hitting a Homerun in the Bottom of the Ninth Inning |
Carey G. Smoak |
source |
5 |
| PharmaSUG |
2020 |
RTOR: Our Side of the Story |
Shefalica Chand,
Eric Song |
source |
10 |
| PharmaSUG |
2020 |
Simplifying the Derivation of Best Overall Response per RECIST 1.1 and iRECIST in Solid Tumor Clinical Studies |
Xiangchen (Bob) Cui,
Sri Pavan Vemuri |
source |
24 |
| 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 |
Mind the Gap: Raw Data Model |
Julie Smiley |
source
presentation source |
7 |
| PHUSE US |
2020 |
Overcoming Hurdles in Clinical Programming Project Management Using Microsoft Teams |
Miten Tiwari |
source
presentation source |
11 |
| PHUSE US |
2020 |
Project Programmer @GSK...the Journey Continues! |
Eileen Ching,
Raghu Kumbharathi |
source
presentation source |
8 |
| PHUSE US |
2020 |
R & Python for Clinical Workflows |
Philip Bowsher |
source |
13 |
| PHUSE US |
2020 |
Statistical Programming Team Contributions for RWE Regulatory Submissions |
Lin Gao,
Norihiko Oharu |
source
poster source |
1 |
| PHUSE EU |
2019 |
Development of standard BIMO process to create clinsite dataset |
Hilde Delanghe |
source
presentation source |
8 |
| PHUSE EU |
2019 |
Janssen's Journey Towards a Culture of Innovation |
Sumesh Kalappurakal,
Sangeeta Bhattacharya |
source
presentation source |
7 |
| PHUSE EU |
2019 |
Leaders - Wanted |
Detlef Nehrdich |
source
presentation source |
2 |
| PHUSE EU |
2019 |
Let's See Further than One Observation: Applying Hash Objects for Typical Clinical Programming Tasks |
Valeriia Oreshko |
source
presentation source |
8 |
| PHUSE EU |
2019 |
Overcoming Hurdles in Clinical Programming Project Management Using Microsoft Teams |
Yan Wu,
Sofie Cambré |
source
presentation source |
11 |
| PHUSE EU |
2019 |
Statistical Programming in the Future - Our Mindset, Data FAIRness and the Importance of Stakeholder Relationships |
Christoph Ziegler |
source
presentation source |
8 |
| 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 |
| WUSS |
2019 |
Root Cause Analysis Using Pinnacle 21 Validation Reports: How to Improve End-to-End Programming Process |
Aakar Shah,
Tracy Sherman |
source |
13 |
| WUSS |
2019 |
Spec to Code in Seconds: Use Microsoft Excel for Repetitive Code Writing |
Pinky Anandani Dutta |
source |
5 |
| WUSS |
2019 |
Stay Ahead of the Curve: How to implement New FDA Recommendation Study Data Standardization Plan (SDSP) in your organization? |
Stay Ahead,
Aakar Shah |
source |
10 |
| PharmaSUG |
2019 |
An Innovative Efficacy Table Programming to Automate Its Figure Generation to Ensure Both High Quality and Efficiency |
Xiangchen (Bob) Cui,
Letan (Cleo) Lin |
source |
23 |
| 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 |
Integrating programming workflow into computing environments: A closer look |
Tyagrajan Swaminathan,
Sridhar Vijendra |
source |
11 |
| PharmaSUG |
2019 |
Raising the Bar: CDASH implementation in a biometrics CRO |
Julie Barenholtz |
source |
4 |
| PharmaSUG |
2019 |
SHIONOGI Global SAS System Renewal Project - How to Improve Statistical Programming Platform |
Yura Suzuki,
Yoshimi Ishida,
Malla Reddy Boda,
Yoshitake Kitanishi |
source |
10 |
| PharmaSUG |
2019 |
Something Old, Something New: A little programming management can go a long way |
Janet J. Li |
source |
8 |
| PharmaSUG |
2019 |
Statistical Programming Roles - Time to Reevaluate Job Profiles & Career Ladders |
Vijay Moolaveesala,
Ajay Gupta |
source |
4 |
| PharmaSUG |
2019 |
Thought Process and First Steps in Becoming an Independent Consultant |
Venky Chakravarthy |
source |
15 |
| PharmaSUG |
2019 |
Working Remotely - Home Office, Tools and Technology |
Gary E. Moore |
source |
25 |
| PHUSE US |
2019 |
Data Engineering Project (Educating for the Future PHUSE Working Group) |
Guy R. Garrett,
Bev Hayes |
source
presentation source |
5 |
| PHUSE US |
2019 |
Delivery of Data Visualizations within GlaxoSmithKline Clinical Development and Partners via an ELD Model |
Jason Szewczyk |
source
presentation source |
5 |
| PHUSE US |
2019 |
Don't Let Your Data Handle You: A Novel Approach to Clinical Programming |
Jorine Putter |
source
presentation source |
10 |
| PHUSE US |
2019 |
Fitting Programming Processes into Workflows on Systems - Is the Square Peg in a Round Hole? |
Sridhar Vijendra,
Tyagrajan Swaminathan |
source
presentation source |
10 |
| PHUSE US |
2019 |
Remotely Manage Your Team's Time and Tasks Efficiently |
Vara Prasad Reddy Sakampally |
source
presentation source |
5 |
| PHUSE EU |
2018 |
Access Rights Management and Version Control in an Independent Programming Environment |
Christian Sachara,
Anke Grohl |
source
presentation source |
6 |
| PHUSE EU |
2018 |
Crowdsourced ADaM Programming and Standardisation: A Design Study |
Holger Langkabel |
source
presentation source |
10 |
| PHUSE EU |
2018 |
Implementation of a Metadata-based Approach to Statistical Planning, Analysis and Reporting |
Frank Freischlager,
Hanspeter Schnitzer |
source
presentation source |
7 |
| PHUSE EU |
2018 |
The Role of a Project Programmer Within GSK |
Nadeem Gul,
Sheetal Patel |
source
presentation source |
6 |
| SESUG |
2018 |
Dynamic Program Tracker |
Tanmay Khole,
Saigovind Chenna |
source |
5 |
| WUSS |
2018 |
Defensive programming techniques for ongoing clinical studies |
Bharath Donthi,
Lingjiao Qi |
source |
8 |
| WUSS |
2018 |
Something Old, Something New: A little programming management can go a long way |
Janet J. Li,
Aakar Shah |
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 |
Challenges and Tactics of Managing Clinical Programming in Long Term Outcomes Trials |
David L. Wade,
Joanne C. Zhou,
Rakesh Kumar |
source
presentation source |
6 |
| PHUSE US |
2018 |
Cross-study Analysis of SDTM Data Using R |
Greg Jones,
Todd Cornelius |
source
presentation source |
6 |
| PHUSE US |
2018 |
Harnessing the Web to Streamline Statistical Programming Processes |
Daniel J. Boisvert,
Gordon Schantz |
source
presentation source |
8 |
| PHUSE US |
2018 |
Introducing Project Management and Emotional Intelligence to Statistical Programmers |
Wenyun Ji |
source
presentation source |
8 |
| PHUSE US |
2018 |
Lead Programmer Needs Help: Dedicated Programming Project Manager to the Rescue! |
Smitha Nathan,
Bhavin Busa |
source |
5 |
| PHUSE US |
2018 |
Project Programmer Role |
Michael Gunshenan,
Rebecca Greenwood |
source
poster source |
4 |
| 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 |
Preparing the Office of Scientific Investigations (OSI) Requests for Submissions to FDA |
Zihui Lin,
Wei Cui,
Yaling Teng,
Ran Li |
source |
9 |
| PharmaSUG |
2018 |
SDTMs in a Medical Device Trial - A First Attempt |
Phil Hall |
source |
6 |
| 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 |
| PharmaSUG |
2018 |
The Statistical Programming Summit |
Todd Case |
source |
4 |
| PharmaSUG |
2018 |
To Error is Human: An Overview of Human Errors in SAS Programming and How to Mitigate Them |
Nagadip Rao |
source |
9 |
| SESUG |
2017 |
Streamlining ADaM Dataset Specifications |
Hunter Vega |
source |
6 |
| SESUG |
2017 |
YAGI: a tool to help Newcomers to SAS efficiently learn Code and Syntax |
Steph-Yves Louis |
source |
7 |
| PHUSE EU |
2017 |
A Labour-saving SAS Macro fro Programmed Patient Narratives |
Vineeth Kurnala,
Prafulla Girase |
source
presentation source |
9 |
| 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 |
Robust Study Database Build: An Effective Start Towards Creation of Quality SDTMs |
Onkar Tajarekar |
source
presentation source |
9 |
| WUSS |
2017 |
SDTMs in a Medical Device Trial - A First Attempt |
Phil Hall |
source |
5 |
| PharmaSUG CN |
2017 |
Constructive Practice of Generating ADaM Datasets |
Amos Shu |
|
7 |
| PharmaSUG CN |
2017 |
Effective Statistical Programming Preparation and Support for CFDA Self-Inspections and Onsite Inspections |
Peng Wan |
|
5 |
| PharmaSUG |
2017 |
A Precision-strike Approach to Submission Readiness: How to Prepare Your Filing Teams for Consistent Excellence |
Michael Hagendoorn,
Tony Chang |
source |
7 |
| PharmaSUG |
2017 |
Clinical and Vendor Database Harmony; Can-t we all just get along? |
Brian Armstrong,
Renee Kerwin |
source |
9 |
| PharmaSUG |
2017 |
Lead Programmer Needs Help: Dedicated Programming Project Manager to the Rescue! |
Gloria Boye,
Aparna Poona,
Bhavin Busa |
source |
7 |
| PharmaSUG |
2017 |
Mentoring and Oversight of Programmers across Cultures and Time Zones |
Chad W. Melson |
source |
7 |
| 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 |
Communicating Results with R & Shiny |
Mika Mäkinen |
source
presentation source |
9 |
| PHUSE EU |
2016 |
Continuous Improvement for TFL Production |
Caroline Terrill |
source
presentation source |
5 |
| PHUSE EU |
2016 |
Is the Statistical Programming Process Lean Enough? |
Simon Jennings |
source
presentation source |
9 |
| PHUSE EU |
2016 |
What Auditors Want |
Angelo Tinazzi,
Cédric Marchand |
source
presentation source |
8 |
| MWSUG |
2016 |
Mentoring and Oversight of Programmers across Cultures and Time Zones |
Chad W. Melson |
|
6 |
| PharmaSUG |
2016 |
"It is a standard, so it is simple, right?": Misconceptions and Organizational Challenges of Implementing CDISC at a CRO |
Susan H.M. Boquist,
Adam J. Sicard |
source |
5 |
| PharmaSUG |
2016 |
Importance of Niche Provider for Successful NDA Submission: Rescue Case Study |
Aparna Poona,
Bhavin Busa,
Tim Southwick |
source |
9 |
| PharmaSUG |
2016 |
Outcome of a Clinical SAS University training program in Eastern Europe - How are graduates performing in a real work environment? |
Donnelle LaDouceur,
Sergey Glushakov |
source |
7 |
| PharmaSUG |
2016 |
PROC SQL: To Create Macro Variables with Multiple Values and the Uses in Clinical Programming |
Anish Kuriachen |
source |
4 |
| PharmaSUG |
2016 |
Quality, Timely and Within Budget Analysis and Reporting - Yes, you can have all three! A process and tool to help achieve this goal |
Wilminda Martin,
Sharon Niedecken,
Syamala Schoemperlen |
source |
12 |
| PHUSE EU |
2015 |
From Data Management to Statistical Programming: A Real-Life Change |
Benjamin Lerbour |
source
presentation source |
5 |
| 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 |
Unleashing the Analyst: Establishing a Department of Dynamic Real-world Data Science (RWD-S) Analysts who are able to Partner, Influence and Drive the Generation of Real-world Evidence |
Ryan Copping,
Robert Walls |
source
presentation source |
28 |
| WUSS |
2015 |
No Regrets: Hiring for the Long Term in Statistical Programming |
Chris Moriak,
Graham Wilson,
Elizabeth Meeson |
source |
7 |
| PharmaSUG CN |
2015 |
How to Build an "Offshore" Team with "Onshore" Quality |
Lulu Swei,
Margaret Li |
|
5 |
| PharmaSUG CN |
2015 |
Managing the analysis programming effort for an NDA submission |
Yu Cheng,
Quan Zhou |
|
8 |
| PharmaSUG CN |
2015 |
Summary level clinical site data for data integrity review and inspection planning in NDA and BLA submission [presentation] |
Jingwei Gao,
Nancy Bauer |
|
41 |
| PharmaSUG |
2015 |
A Web-Based Approach to Fighting Analysis Chaos |
Gordon Fancher,
Rajeev Karanam,
Shawn Hopkins |
source |
7 |
| PharmaSUG |
2015 |
How to Build an "Offshore" Team with "Onshore" Quality |
Lulu Swei |
source |
5 |
| PharmaSUG |
2015 |
How to Build and Manage a Successful and Effective FSP Service for US sponsors out of India |
Debiprasad Roy,
Ganesh Gopal |
source |
5 |
| PharmaSUG |
2015 |
No Regrets: Hiring for the Long Term in Statistical Programming |
Chris Moriak,
Graham Wilson,
Elizabeth Meeson |
source |
7 |
| PharmaSUG |
2015 |
Steps Required to Achieve Operational Excellence (OpEx) Within Clinical Programming |
Opeyemi Ajoje |
source |
8 |
| PharmaSUG |
2015 |
The Implementation of Display Auto-Generation with Analysis Results Metadata Driven Method |
Chengxin Li |
source |
11 |
| SGF |
2015 |
Enhancing Infrastructure for Growth [presentation] |
Amber Randall |
source |
8 |
| PHUSE EU |
2014 |
Building the Next Generation |
Michael Hall |
source
presentation source |
3 |
| PHUSE EU |
2014 |
Development of Exploratory Statistical Programmers Based in India |
Jan Stefanek |
source
presentation source |
4 |
| PHUSE EU |
2014 |
Learnings and Evolutions of Risk Assessment Quality Control within Statistical Programming Group |
Timothy Barnett |
source
presentation source |
5 |
| 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 |
R and Revolution R Enterprise in Regulatory Environments |
Eike Nicklas,
Neil Miller |
source
presentation source |
4 |
| PHUSE EU |
2014 |
Statistics and Computing for Health A 10-year Bachelor of Science in South Brittany [presentation] |
Jean-Francoius Petiot,
Cedric Frambour |
source |
17 |
| PHUSE EU |
2014 |
Successfully Embracing Challenges to CDISC Standards [presentation] |
Elke Sennewald |
source |
30 |
| PHUSE EU |
2014 |
Technology Trends with the Potential to Change Clinical Development |
Christopher R. Olinger |
source
presentation source |
5 |
| PHUSE EU |
2014 |
What's Next in Version Control for SAS Programming Environments? |
David J. Garbutt |
source
presentation source |
11 |
| PharmaSUG CN |
2014 |
From Coal Mining to Data Mining: Advancing Programming Management for Clinical Projects with Text Analytics |
Zhouming Sun |
|
10 |
| WUSS |
2014 |
Recruiting for Retention |
Kathy Greer,
John Reilly |
source |
4 |
| PharmaSUG |
2014 |
Recruiting for Retention |
Kathy Greer,
John Reilly |
source |
5 |
| WUSS |
2013 |
Building a Controlled Statistical Programming Environment |
Wayne F. Woo |
source |
10 |
| 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 |
Spotfire for Statisticians and Statistical Programmers [presentation] |
Alistair Dootson,
Mark Demesmaeker |
source |
17 |
| PHUSE EU |
2013 |
Standardising the Standards - The Benefits of Consistency |
Nathan James |
source
presentation source |
6 |
| 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 |
| NESUG |
2013 |
Using SAS Metadata as a Key Performance Indicator! |
Vincent J. Amoruccio |
|
11 |
| PharmaSUG |
2013 |
Getting Ready for PDUFA V - The New "GCP": Governance, Communication, Planning |
Joanna Koft |
source |
5 |
| PharmaSUG |
2013 |
Life Cycle of a Data Point - A Tool to Educate the Clinical Development Team on What it Takes to Go From the Clinic to a Submission |
Arthur Collins,
Joanna Koft |
source |
4 |
| PharmaSUG |
2013 |
Modern SAS Programming: Using SAS Grid Manager and Enterprise Guide in a Global Pharmaceutical Environment |
David Edwards,
Gregory S. Barnes Nelson,
Susan Wang |
source |
14 |
| PharmaSUG |
2013 |
SAS Programmer to Clinical SAS Programmer |
Gayatri Karkera,
Nehan Mohan |
source |
7 |
| 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 |
| PharmaSUG |
2013 |
Using Workflows and Metadata Information to Standardize Business Processes in Pharmaceutical Programming |
Peng Yang,
Wei Liu,
Julie A. Maddox |
source |
9 |
| SGF |
2013 |
Communicating Standards: A Code Review Experience |
David A. Scocca |
source |
4 |
| 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 |
| SGF |
2013 |
Modern SAS Programming: Using SAS Grid Manager and SAS Enterprise Guide in a Global Pharmaceutical Environment |
David Edwards,
Gregory S. Barnes Nelson |
source |
14 |
| SGF |
2013 |
Using SAS Enterprise Guide: A System Administrator's Perspective |
Haibo Jiang,
Joseph Buonomo,
Sarah Shiue,
Thomas Barbour,
Rickie Stevens |
source |
22 |
| NESUG |
2012 |
Process Simplification - The Simple Way! X |
Minal Vyas |
|
12 |
| NESUG |
2012 |
Quality Assurance: Best Practices in Clinical SAS Programming |
Parag Shiralkar |
|
8 |
| PHUSE EU |
2012 |
A Simple Interface for Meta-Data [presentation] |
Magnus Mengelbier |
source |
18 |
| PHUSE EU |
2012 |
iTeam: Having a Voice of Opinion |
Mijanur Rahman |
source
presentation source |
4 |
| PHUSE EU |
2012 |
Making Macros More Generic [presentation] |
Alain Smits |
source |
24 |
| PHUSE EU |
2012 |
Off Shored, 5 Years On |
Bhupendra Mistry |
source
poster source |
6 |
| PHUSE EU |
2012 |
Process Simplification - The Simple Way! |
Neeraj Malhotra |
source
presentation source |
11 |
| PHUSE EU |
2012 |
SAS Drug Development 4.1 - Clinical Programming and Workflow |
Mark Weadon,
Mark Lambrecht |
source
presentation source |
8 |
| PHUSE EU |
2012 |
Supercharging the Proc Contents [presentation] |
Alain Smits |
source |
14 |
| PHUSE EU |
2012 |
The 3 Year Obsession: Length of Experiences the Sole Determinant of Competence? |
Meghana Bhagwat,
Manjusha Gode |
source
presentation source |
9 |
| 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 |
Experiences in Leading a Company-Wide First CDISC Filing from a Programming Perspective |
Sho-Rong Lee |
source |
6 |
| PharmaSUG |
2012 |
PROGRAMMER'S SAFETY KIT: Important Points to Remember While Programming or Validating Safety Tables |
Sneha Sarmukadam,
Sandeep Sawant |
source |
11 |
| PharmaSUG |
2012 |
Risk Evaluation and Mitigation Strategies (REMS) and How They Impact Biostatistics and Statistical Programming Groups |
Arthur Collins |
source |
4 |
| SGF |
2012 |
Utilize Dummy Datasets in Clinical Statistical Programming |
Amos Shu |
source |
5 |
| PHUSE EU |
2011 |
CYA with JMP - reloaded [presentation] |
David J. Garbutt |
source |
38 |
| 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 |
| PHUSE EU |
2011 |
What makes a strong programming team? [presentation] |
Beate Hientzsch |
source |
22 |
| PharmaSUG |
2011 |
Building a Hosted Statistical Computing Environment: Is it Possible? |
John Leveille |
source |
6 |
| PharmaSUG |
2011 |
Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures |
Bohdana Ratitch,
Michael O'Kelly |
source |
10 |
| 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 |
| PharmaSUG |
2011 |
Your Dataset Looks Fine - But Does It Comply with '99? |
Meenal (Mona) Sinha |
source |
3 |
| PHUSE EU |
2010 |
Challenges of Clinical projects shared between Pharma Companies [presentation] |
Oliver LeConte |
source |
27 |
| PHUSE EU |
2010 |
Development and implementation of a statistical programming environment in a biotechnology company |
Albert Chau,
David Shannon |
source
presentation source |
7 |
| PHUSE EU |
2010 |
Recruitment, Retention and Motivation of your team [presentation] |
Louise Webber |
source |
20 |
| PharmaSUG |
2010 |
Building a Successful Remote Programming Site |
Wenyun Ji |
|
4 |
| PharmaSUG |
2010 |
Building Effective Statistical Programming Teams for Clinical Trials |
Dawn Edgerton |
|
3 |
| PharmaSUG |
2010 |
Clinical Programming For Novice |
Ramesh Ayyappath |
|
5 |
| PharmaSUG |
2010 |
Optimally Scheduling Resource Constraint Project Using SAS/OR |
Jeff Cai |
|
10 |
| PharmaSUG |
2010 |
The Technical Phone Screen Hiring with One Hand Tied Behind Your Back |
David J. Polus |
|
6 |
| SESUG |
2009 |
Building Effective Statistical Programming Teams for Clinical Trials |
Dawn Edgerton |
source |
4 |
| PHUSE EU |
2009 |
Challenges in running a virtual department through outsourcing |
Silvana Cappi |
source |
7 |
| 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 |
ETL and the Clinical Programmer - They don't have to be Enemies! |
Chris Decker,
Christopher R. Olinger |
source |
11 |
| PHUSE EU |
2009 |
Managing your metadata efficiently |
Kirsten Langendorf,
Mikkel Traun |
source |
12 |
| PHUSE EU |
2009 |
Team Expansion Through External Training |
Kamila Duniec |
source |
3 |
| PHUSE EU |
2009 |
Working Effectively in a Globally Dispersed Tea |
Gary Hearfield |
source |
22 |
| MWSUG |
2009 |
Clinical Programming at a Crossroads: Meeting Today's Challenges and Preparing for Tomorrow |
Vid J. Polus |
|
5 |
| WUSS |
2009 |
Efficient Statistical Programming? - These Small Steps Make the Difference |
Keiko I. Powers |
source |
16 |
| PharmaSUG |
2009 |
Clinically Significant Data Integration Studio |
Chris Decker,
Stephen Baker |
|
12 |
| PharmaSUG |
2009 |
Establishing a True Virtual Partnership Presentation to PHARMASUG 2009 |
Jonathan Botha,
Sandra Vermeulen |
|
15 |
| PharmaSUG |
2009 |
Implementing CDISC When You Already Have Standards |
Sandra Minjoe |
|
10 |
| PharmaSUG |
2009 |
Reducing Risk in your SAS Environment |
Brian K. Varney |
|
3 |
| PharmaSUG |
2009 |
Technical Support in Biometrics |
Wei Dong |
|
4 |
| WUSS |
2008 |
Clinical Programming at a Crossroads: Meeting Today's Challenges and Preparing for Tomorrow |
David J. Polus |
source |
5 |
| PHUSE EU |
2008 |
A game of snakes and ladders |
Kerry Gordon |
source |
6 |
| PHUSE EU |
2008 |
Metrics Unleashed II: Measuring Productivity or Inspiring Artisans |
Gregory S. Barnes Nelson,
Mark Matthews |
source |
7 |
| PNWSUG |
2008 |
Introduction to Clinical Trials in Pharmaceutical Industry - From a SAS Programmer's Point of View [presentation] |
Wenyun Ji |
|
19 |
| PharmaSUG |
2008 |
Clinical Programming at a Crossroads: Meeting Today's Challenges and Preparing for Tomorrow |
David J. Polus |
|
4 |
| PharmaSUG |
2008 |
Working experience for the filing resubmission from supporting Statistical Programming Analysis (SPA) perspective |
Minh V Truong |
|
3 |
| PHUSE EU |
2007 |
DQC checker |
Ryan Finch |
source |
7 |
| PNWSUG |
2007 |
Regexps: Applications in Clinical Programming |
Rohini Rao,
Paul D. Hamilton |
|
6 |
| PharmaSUG |
2007 |
Managing the CRO Relationship to Effectively Request and Receive CDISC STDM and ADaM Deliverables |
Kenneth Eng,
David C. Izard,
Terek J. Peterson |
|
8 |
| PharmaSUG |
2007 |
The Submission Data File System Automating the Creation of CDISC SDTM and ADaM Datasets |
Marcus Bloom,
David Edwards |
|
15 |
| PHUSE EU |
2006 |
Global Resource Estimation |
Roy Ward |
source |
12 |
| PHUSE EU |
2006 |
Metrics Unleashed: Measuring Productivity or Inspiring Artisans |
Neil Howard,
Gregory S. Barnes Nelson |
source |
10 |
| 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 |
| NESUG |
2004 |
Programming Techniques for Data Mining with SAS |
Samuel Berestizhevsky,
Tanya Kolosova |
|
14 |
| NESUG |
2001 |
Developing and Implementing Programming Standards Without Stifling Programmer Creativity |
Paul Doucette |
|
5 |
| PharmaSUG |
2001 |
The Changing Nature of SAS Programming in the Pharmaceuticals Industry |
Steven Light |
|
4 |
| PharmaSUG |
1997 |
Statistical Programming Workflow Process Improvement at Fujisawa USA |
Jay Erdman,
Paul M. Gilbert |
|
4 |
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