| WUSS |
2026 |
Smarter CRF Reviews: An Open-Source AI Tool for Automated Protocol-to-CRF Gap Analysis in Clinical Trials |
Raj Sharma |
source |
9 |
| PharmaSUG CN |
2026 |
AI in Regulatory Submissions: Health Authority Expectations and Emerging Opportunities for Data Standards and Submission |
He Liu |
source |
7 |
| PharmaSUG CN |
2026 |
An Integrated, AI-Augmented R Shiny Platform for Oncology Clinical Trial Decision Intelligence: From CDISC Data to Go/No-Go in One Unified Hub |
Zhiping Yan |
source |
28 |
| PharmaSUG CN |
2026 |
Validation Strategy for TLF AI-Generated Results |
Han Wang, Zongfeng Lei, Patick Zhang |
source |
7 |
| PharmaSUG |
2026 |
AI-First Leadership in Biometrics: Redefining Strategy, Teams and Execution in the Agentic AI Era |
Kevin Lee |
source |
7 |
| PharmaSUG |
2026 |
An End-to-End R-Based Pharmacokinetics (PK) Workflow for Regulatory Submission: The INAVO120 Study |
Qi Liu, Shweta Vadhavkar |
source |
5 |
| PharmaSUG |
2026 |
Analysis Concepts role within the CDISC 360i vision |
Alyssa M. Wittle, Brian Harris |
source |
5 |
| PharmaSUG |
2026 |
Beyond Today-s Evidence: How AI-Enabled RWE Will Transform Development Speed, Study Quality, and Real-World Impact |
Sherrine Eid |
source |
15 |
| PharmaSUG |
2026 |
Delegation as a Quality Strategy: Building Accountable Biometrics Teams |
Steven Tan |
source |
5 |
| PharmaSUG |
2026 |
Early Unblinding to Pharmacometrics (PMx) Data: Challenges, Practices, and Benefits |
Shweta Vadhavkar, Jing Su |
source |
6 |
| 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 |
Implementing AI Agent-Driven Tools to Accelerate Clinical Research Workflows |
Nathan Lee |
source |
13 |
| PharmaSUG |
2026 |
Navigating Early Career Challenges in PK/ADA Statistical Programming |
Diyu Yang, Sandeep Meesala |
source |
11 |
| PharmaSUG |
2026 |
Patient-Level, Dose-Stratified Swimmer Plots for Comparative Adverse Event Time-Course Assessment in Clinical Trials Using SAS PROC TEMPLATE |
Qingwei Hu, Zhaoyu Xie, Ji Qi |
source |
5 |
| PharmaSUG |
2026 |
PSMATCH: Propensity Score Matching of Clinical Trial Data with External Control Arms |
Ginger Barlow |
source |
8 |
| PharmaSUG |
2026 |
Python for Survival Analysis: Kaplan-Meier and Reverse KM Plots Made Easy |
Girish Kankipati, Bala Rajesh Jakka |
source |
20 |
| PharmaSUG |
2026 |
R Package Management in LSAF: Challenges and Solutions |
Praneeth Adidela, Sagar Koona |
source |
7 |
| PharmaSUG |
2026 |
Structure-Preserving Preprocessing of Clinical Documents for Large Language Model Analysis |
Zun Wang, Juntao Yan |
source |
12 |
| PharmaSUG |
2026 |
Unleashing Open-Source Potential in SAS: The PharmaForest Ecosystem (proc pharmaforest data=open_source out=... ;) |
Sharad Chhetri, Ryo Nakaya |
source |
7 |
| 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 Transparency, Patient-centricity, and Trustworthiness in Pharma: Metrics and Trends from the Good Pharma Scorecard [presentation] |
Jennifer Miller |
source |
48 |
| PHUSE US |
2026 |
AI as Copilot: Empowering, Not Replacing, Clinical Statistical Programmers |
Bhavesh Patkar |
source presentation source |
5 |
| PHUSE US |
2026 |
Analysis Concepts Definition: Initial Perspectives from the CDISC Working Group |
Stuart Malcolm |
source presentation source |
4 |
| PHUSE US |
2026 |
Around the Data DOSE-y Doe: Using DOSExx Variables within ADaM Datasets |
Inka Leprince, Richann J. Watson |
source |
10 |
| PHUSE US |
2026 |
Automated Code Generation: Evaluating Deterministic and Probabilistic Approaches |
Malan Bosman |
source presentation source |
6 |
| 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 |
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 |
CCI Proposals In Clinical Documents - Gap Analyses [presentation] |
Radu Popescu, Silvia Garrido-Lestache |
source |
14 |
| PHUSE US |
2026 |
CDISC ARS Template Code: Gearing Up with Automation in TFL Programming |
Malan Bosman, Anna Yaggi |
source presentation source |
7 |
| PHUSE US |
2026 |
CDISC Biomedical Concepts for Breast Cancer: A CDISC 360i Perspective |
Bess LeRoy, Brian Harris |
source presentation source |
2 |
| PHUSE US |
2026 |
Complex Trials, Simple Disclosures: Streamlined Transparency of Innovative Study Designs [presentation] |
Ritama Gupta Dempsey |
source |
15 |
| PHUSE US |
2026 |
Data Can't Do It Alone: The Untold Power of Soft Skills in IDMCs |
Maira Pinto |
source presentation source |
9 |
| PHUSE US |
2026 |
Data Storytelling: A Crucial Leadership Skill in Today's Clinical Research Landscape |
Bhavesh Patkar |
source presentation source |
9 |
| 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 |
Deterministic Foundations, AI Acceleration: Lessons from Developing Hybrid Clinical Review Tools |
Matthew Kumar, Srinivas Veeragoni |
source presentation source |
8 |
| PHUSE US |
2026 |
Electronic Submission of Population PK Analysis Files ... What's Your Modus Operandi? |
Luai R. Alzoubi |
source presentation source |
13 |
| PHUSE US |
2026 |
Empowering Clinical Data Review with Interactive Patient-Level Visualisations in {teal} |
Dony Unardi |
source |
4 |
| PHUSE US |
2026 |
Enabling Innovation: Lessons from the CDISC AI Innovation Challenge |
Julie Smiley |
source presentation source |
10 |
| PHUSE US |
2026 |
Enhancing Clinical Trial Dataset Mapping with AI/ML Techniques: An Approach for CDISC Variable Prediction |
Parvee Kumar |
source presentation source |
7 |
| PHUSE US |
2026 |
Ensuring Reliability of Medical Devices Through Statistical Oversight in the Age of AI |
Parvee Kumar, Shrutimita Pokhariyal |
source presentation source |
11 |
| 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 Demo to Deployment: Bridging the AI Implementation Gap |
Melanie Hullings, Emily Yates |
source presentation source |
5 |
| 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 |
From System Exports to Standards: Will Standardisation of External Vendor Data Redefine Clinical Data Management/Analysis? |
Sai Sri Sravya Deevi |
source presentation source |
5 |
| PHUSE US |
2026 |
Introduction of PharmaForest - Forest of SAS packages |
Ryo Nakaya, Hiroki Yamanobe, Yutaka Morioka |
source presentation source |
7 |
| PHUSE US |
2026 |
Leveraging Python for Synthetic External Vendor Data Generation for eCOA and ePRO |
Hitesh Raval |
source presentation source |
9 |
| PHUSE US |
2026 |
Modernising Statistical Computing Environments: Scalable, AI-Ready and GxP-Compliant by Design |
Amanda Lopuski, Rafael Pereira |
source presentation source |
7 |
| 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 |
Open Source Pavilion: Metadata-driven Automation Interactive [presentation] |
Orla Doyle, Rammprasad Ganapathy |
source |
28 |
| 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 |
Orchestrating Multi-Agent Workflows for Complex Trial Data Integration |
Rajesh Hagalwadi |
source |
8 |
| PHUSE US |
2026 |
PHUSE Working Groups Highlights [poster] |
Chris Price |
source |
1 |
| PHUSE US |
2026 |
Problem-First Agentic AI: Transforming Statistical Computing with Purposeful Automation |
Rajesh Hagalwadi |
source presentation source |
8 |
| PHUSE US |
2026 |
Protecting Commercially Confidential Information (CCI) Under the EU Clinical Trials Regulation [presentation] |
Christa Polidori, Sanjay Bagani |
source |
4 |
| PHUSE US |
2026 |
Regul-ASIAN Uncovered Navigating Reporting Requirements in Asian Markets [presentation] |
Ben Evans |
source |
42 |
| PHUSE US |
2026 |
Rethinking Data Quality - From Fragmented Checks to Connected Insights |
Eva Kelty |
source presentation source |
6 |
| PHUSE US |
2026 |
Risk-Driven AI Oversight in Clinical Research: A Tiered Framework Using ISO, ICH Q9 and FMEA |
Laxmiraju Kandikatla, Rajesh Hagalwadi |
source presentation source |
9 |
| PHUSE US |
2026 |
Scaling Biometric Teams in Emerging Regions: Lessons from Armenia |
Nairi Alikhanyan, Arman Melkonyan |
source presentation source |
7 |
| PHUSE US |
2026 |
Scaling for the Future: Transitioning from In-House to Commercial Statistical Computing Environments |
Hemu Shere, Majdoub Haloui |
source presentation source |
8 |
| PHUSE US |
2026 |
SCE White Paper 2.0 - A Modernised Framework for the Next Generation of Data Analysis |
Mark Bynens |
source presentation source |
7 |
| PHUSE US |
2026 |
SpecToSAS: AI-Powered SAS Code Generation from Study Specs |
Gargee Vaidya, Lluis Gimenez |
source presentation source |
12 |
| PHUSE US |
2026 |
Submitting RWD: Where We Are and Where We Are Going |
Ingeborg Holt, Sarah Ferko, Jeffrey M. Abolafia |
source presentation source |
24 |
| PHUSE US |
2026 |
The 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 Curious Case of External Controlled Arms (ECAs): Practical Solutions for External and RWD Integration |
Manish Deole, Preethi Samala |
source presentation source |
6 |
| PHUSE US |
2026 |
The Journey Beyond Anonymisation: Exploring the Secondary Use of Clinical Trial Data |
Yuliia Cherednichenko, Tetiana Skorokhod |
source presentation source |
18 |
| PHUSE US |
2026 |
The SMART + Framework for AI Systems |
Laxmiraju Kandikatla |
source poster source |
9 |
| 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 |
Trends in eSub Evaluation Findings: A Twenty-Year Perspective on Data Traceability |
Lisa Kaye Brooks |
source presentation source |
9 |
| PHUSE US |
2026 |
Validation Strategies for Agentic AI Platforms in GxP-Regulated Clinical Data Environments |
Rajesh Hagalwadi |
source presentation source |
9 |
| PHUSE US |
2026 |
Voice-Driven Agent-Assisted Open-Source Data Science |
Philip Bowsher |
source presentation source |
10 |
| PHUSE US |
2026 |
Your Brain on AI: What We Gain, What We Risk, and How To Harness AI Without Losing Trial Integrity |
Aditya Gadiko |
source presentation source |
6 |
| PHUSE APAC |
2026 |
Accelerating Pharma Innovation: The Role of SAS Synthetic Data |
Soundarya Palanisamy, Anand Phand |
source presentation source |
7 |
| PHUSE APAC |
2026 |
Accelerating Productivity: Understand How SAS Viya Copilot Helps Users Work More Effectively Across the Analytics Life Cycle |
Ajay Tomar |
source presentation source |
6 |
| 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 |
AI-Driven Protocol Review: Accelerating and Simplifying Review |
Aditya Moogi |
source poster source |
14 |
| PHUSE APAC |
2026 |
Beyond Code: Elevating NextGen Statistical Programmers through Cross-Functional Learnings |
Saumil Tripathi |
source presentation source |
7 |
| PHUSE APAC |
2026 |
Beyond Toxicity : Accelerating Dose -Finding with Pharmacokinetic -Driven Bayesian Design PKBOIN-12 |
Anetta Mary Xavier |
source presentation source |
13 |
| 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 |
CDISC 360i In Action – Demonstrating the Shift to Fully Digital Standards [presentation] |
Darren Moreland, Julie Smiley, Bhavin Busa, Peter Van Reusel |
source |
11 |
| PHUSE APAC |
2026 |
Crafting a recipe for success : Aligning Target Product Profiles and study design to ensure statistical significance translates to clinical relevance and role of DGF |
Soumitra Kar, Novo Nordisk GBS |
source presentation source |
9 |
| PHUSE APAC |
2026 |
Critical & Sensitive Information (CSI) Paper AS02 Revolutionizing Clinical Quality: A Frontier Approach with Quality by Design (QbD), Infrastructure Modernization and Data-Driven Analytics |
Priti Gupta, Deepa Balaji |
source presentation source |
12 |
| PHUSE 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 |
Development of Statistical Scientists for Pharmaceutical Drug Development at India Global Capability Centres |
Suresh Chenji |
source presentation source |
6 |
| PHUSE APAC |
2026 |
Embracing the Semantic Shift: SDTMIG 4.0 and the Rise of Intelligent Clinical Data Standards |
Binitha Sathyabhama, Venkateswarlu Layam |
source presentation source |
6 |
| PHUSE APAC |
2026 |
Empowering Clinical Research Teams in the Age of AI: Building Resilience and Innovation in APAC |
Ashwini Mathur |
source presentation source |
13 |
| PHUSE APAC |
2026 |
End-to-End Continuous Integration and Deployment Pipeline for Multi Language Analytics Applications: A Clinical Data Management Case Study |
Avinash Patnaik, Varun Sethuraman |
source presentation source |
7 |
| PHUSE APAC |
2026 |
Enhancing Interpretation of Propensity Score Matching through Advanced Data Visualization in Real-World Studies |
KiranKumar Vyas, Umayal Annamalai |
source presentation source |
7 |
| PHUSE APAC |
2026 |
From Information to Insights: Harnessing Centralized Monitoring in RBQM to proactively identify and mitigate risks in Clinical Trials |
Bismita Borkakoty, Priyangshu Chowdhury |
source presentation source |
12 |
| PHUSE APAC |
2026 |
From Static to Interactive: A Comparative Evaluation of ggplot2 and Plotly in Clinical Data Visualisation |
Mugdha Joshi |
source presentation source |
8 |
| PHUSE APAC |
2026 |
From Uncertainty to Clarity: A Personal Journey in Pharma Data Science Using the Johari Window |
Ratna Kumari Koganti, Ramya Pichikala |
source presentation source |
7 |
| PHUSE APAC |
2026 |
From XPT to JSON for submissions: Are we ready for the change? |
Poorna Suresh, Bill Qubeck |
source presentation source |
20 |
| PHUSE APAC |
2026 |
Future-Focused Real-World Data Use Strategies: Resilience and Innovation at Chugai |
Wataru Ohtsuka, Nauta Yamanaka |
source presentation source |
8 |
| PHUSE APAC |
2026 |
Harnessing Real-World Evidence and Data Visualisation to Improve Clinical Development and Accelerate Patient-Centric, Insight-Driven Decision-Making [presentation] |
Mujeebuddin Shaik |
source |
20 |
| 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 |
Integrating Real-World Evidence (RWE) and Digital Health Technologies (DHTs) with AI for Enhanced Patient Outcomes (RE) |
Varun Sethuraman |
source presentation source |
10 |
| PHUSE APAC |
2026 |
Legacy to Leading Edge: Reinventing Biostats Programming with Technology, AI, and Agile Innovation |
Deepthi BM |
source presentation source |
8 |
| PHUSE APAC |
2026 |
Leveraging Real-World Evidence (RWE) in Clinical Trial Design: Statistical Challenges and Opportunities |
Muhammed Farzan K |
source presentation source |
6 |
| PHUSE APAC |
2026 |
Next-Gen Transport Standards: Dataset-JSON from a Programmer's Lens |
Venkata Koteswara Rao Rayala |
source presentation source |
6 |
| PHUSE APAC |
2026 |
Optimising Few-Shot Prompting Strategies for Scalable and Reliable Enterprise AI Applications |
Varun Sethuraman, Avinash Patnaik |
source presentation source |
10 |
| PHUSE APAC |
2026 |
RbQM: An Intersection of Cross-Functional Collaboration of Clinical, Analytics, Statistics and Technology Domains for Better Clinical Trial Governance |
Abhishek Ghosh |
source presentation source |
10 |
| 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 |
Signal First: A Data-Driven Approach to Safety Prioritization Using SAS and Tableau |
Jinu J. Nair, Rubina Pathan |
source poster source |
9 |
| PHUSE APAC |
2026 |
Streamlining SEND Dataset Generation: Enhancing Efficiency and Quality with Shiny Dashboards |
Madhulika Mishra, Michael Denieu |
source presentation source |
10 |
| PHUSE APAC |
2026 |
Summary Outputs Made Simple: A Mirror View for SAS Programmers Exploring R |
Venkata Koteswara Rao Rayala |
source poster source |
7 |
| PHUSE APAC |
2026 |
Targeted Maximum Likelihood Estimation: A Unified Approach for Confounding and Selection Bias |
Mahjoob O. Majeed, Noel S. John |
source presentation source |
6 |
| PHUSE APAC |
2026 |
The AI-Powered Scribe: An Agentic Framework for Automated CSR Authoring |
Allwyn Dsouza |
source presentation source |
7 |
| PHUSE APAC |
2026 |
The Expanding Role of Real-World Evidence (RWE) in Supporting Regulatory Submissions |
Setu Sagar, Nikhil A |
source presentation source |
6 |
| PHUSE APAC |
2026 |
The Half-Life of Skills: Leading When Today's Expertise is Tomorrow's Obsolete |
Pratibha Jalui |
source presentation source |
4 |
| PHUSE APAC |
2026 |
Thriving in a Dynamic World: Unlock the Magic of a Growth Mindset |
Abhishek Mishra |
source presentation source |
3 |
| PHUSE APAC |
2026 |
TLF Treasure Hunt: Making Legacy Data Instantly Discoverable with RAD Finder |
Alexis Bernard Dalam, Cielo Marie Castañeda |
source presentation source |
6 |
| PHUSE APAC |
2026 |
Unlock Deeper Clinical Insights: A Unified Approach to Data Analysis with SAS, R, and Python |
Pavan Kallurkar |
source presentation source |
7 |
| PHUSE APAC |
2026 |
Unlocking Biopharma Insights: A RAG-Enabled AI Framework for Rapid Access to Clinical and Nonclinical Study Data |
Lakshmi B K, Sapna Chandran |
source presentation source |
9 |
| PHUSE APAC |
2026 |
Workforce 360°: Future-Proofing Leadership Models |
Sugumaran Muthuraj |
source presentation source |
10 |
| PHUSE EU |
2025 |
Are Study Deliverables Under Your RADAR? |
Deepak Pandarivasagan, Piotr Karasiewicz |
source poster source |
5 |
| 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 |
Beyond Authority: Navigating Challenges, Earning Trust and Building High-Performance Teams in FSP and Outsourced Delivery Models |
Emmanuelle Hoarau, Tim Southwick |
source presentation source |
4 |
| 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 |
Blockr: Advancing Data Pipelines with DAG-Based Workflows and LLM Orchestration |
Karma Tarap, Nicolas Bennet |
source presentation source |
7 |
| PHUSE EU |
2025 |
Bridging Languages: Building Integrated Analytical Tools with SAS, R, and Python for Clinical Data |
Margarethe Povey |
source presentation source |
7 |
| PHUSE EU |
2025 |
Busy ? Productive: Breaking the Myth of Multitasking |
Goele Aerts |
source presentation source |
8 |
| PHUSE EU |
2025 |
CDISCDataset.com: An AI-Powered Platform for Generating Synthetic CDISC-Compliant SDTM and ADaM Datasets, CRFs, Protocols, TFL Shells, and Specs |
Ara Baghumyan |
source presentation source |
2 |
| PHUSE EU |
2025 |
Clinical Trials in the Quantum Era |
Michael Cooper, Edyta Winciorek |
source poster source |
11 |
| PHUSE EU |
2025 |
Code, Collaborate, Conquer: The Future-Proof Programmer in an AI World |
James Shipley-Burgess |
source presentation source |
4 |
| PHUSE EU |
2025 |
Diversity, Inclusion and Equality Its Just Good Science! |
Roxanne McGuire, Chris Ward |
source presentation source |
19 |
| PHUSE EU |
2025 |
Evaluating the Use of Real-World Data (RWD) as a Synthetic Control Group: A Statistical Approach |
Vasiliki Economou, Dimitrios Kounelis |
source poster source |
17 |
| PHUSE EU |
2025 |
FHIR for RWD Submissions: Why a US Regulation Signals a Global Shift And What You Need To Do Now |
Sanyogeeta Andhale, Nachiket Thakkar |
source presentation source |
11 |
| PHUSE EU |
2025 |
Fit-For-Purpose Approach of RBQM in Small Clinical Trials [presentation] |
Alicja Mark, Agnes Verhoeven |
source |
15 |
| PHUSE EU |
2025 |
Framework for Integrating Omics Data with Other Clinical and NonClinical Data Sources |
Mehdi Harek, Jonathon Keeney |
source presentation source |
12 |
| PHUSE EU |
2025 |
Human in or Human out of the Loop: Impact and Things To Consider While Deploying AI |
Olivier Bouchard |
source presentation source |
8 |
| PHUSE EU |
2025 |
Human in the Middle: Accelerating with AI, Anchored in Quality |
Melanie Hullings, Christopher H. White |
source presentation source |
6 |
| PHUSE EU |
2025 |
JSON for Submissions: Why You Should Care, What You Need To Know, and What To Do Now |
Bill Qubeck, Sridhar Vijendra |
source presentation source |
13 |
| PHUSE EU |
2025 |
Leveraging Open-Source Python Tools to Improve Efficiency and Transparency in Clinical Trials |
Sohan Lal, Michael Olds |
source presentation source |
8 |
| PHUSE EU |
2025 |
No Patients? No Problem Define Your Study Data with Python at the CORE |
John McDade |
source presentation source |
11 |
| PHUSE EU |
2025 |
PHUSE Working Groups Highlights [poster] |
Chris Price |
source |
1 |
| 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 |
Rethinking Automation in the AI Era |
James Zee, Liz Cole |
source presentation source |
4 |
| PHUSE EU |
2025 |
Showcasing a Shiny Tool for Evaluating Biomarkers for Derisking Clinical Trials |
Stefan Thoma |
source presentation source |
9 |
| PHUSE EU |
2025 |
Synthetic Data - the Game Changer in Drug Development |
Soundarya Palanisamy, Anette Dalsgaard Jakobsen |
source presentation source |
7 |
| PHUSE EU |
2025 |
Tried and Tested Principles for Building, Managing and Leading High-Performing Teams Through Challenging Initiatives |
Caroline Phares, Oliver Robinson |
source presentation source |
5 |
| PHUSE EU |
2025 |
What We Gained (and Lost) by Using Python in SDTM Conversions [presentation] |
Katarzyna Bzymek |
source |
25 |
| PHUSE EU |
2025 |
Why Wait for Real Data? The Power of Synthetic Data in Modern Clinical Trials |
Abhijeet Arora |
source presentation source |
6 |
| MWSUG |
2025 |
Automated double data entry comparisons [presentation] |
Melinda MacDougall |
source |
10 |
| MWSUG |
2025 |
Maps, maps, and more maps using SAS PROC SGMAP! [presentation] |
Melinda MacDougall |
source |
40 |
| SESUG |
2025 |
Craft Your Career as a Statistical Programmer: Opportunities and Challenges at CROs vs. Pharmas |
Xiao Xiao |
|
6 |
| SESUG |
2025 |
The Business Value of Diversity Combined with Data Science |
Stephen B. Sloan |
|
5 |
| WUSS |
2025 |
Around the Data DOSE-y Doe, How Much Fun Can Your Data Can Be: Using DOSExx Variables within ADaM Data Sets |
Inka Leprince, Richann J. Watson |
source |
13 |
| PharmaSUG |
2025 |
AI is coming for you: New Biometric Leadership in the era of Gen AI |
Kevin Lee |
source |
7 |
| PharmaSUG |
2025 |
AI-Powered Data Issue Tracker for Efficient Data Issue Tracking and Resolution |
Bharath Donthi |
source |
6 |
| PharmaSUG |
2025 |
Breaking Barriers in Clinical Trials: Insights into Platform Designs |
Chetankumar Patel |
source |
11 |
| PharmaSUG |
2025 |
Building a Scalable Training Platform for R: Empowering Analytics Excellence in Corporate Initiatives |
Michelle Page-Lopez, Martyn Walker |
source |
7 |
| PharmaSUG |
2025 |
Building Resilient Teams |
Patrick Grimes, Sajin Johnny |
source |
15 |
| PharmaSUG |
2025 |
Deciphering Exposure-Response Analysis Datasets: A Programmer-s Perspective for Oncology Studies |
Sabarinath Sundaram |
source |
6 |
| PharmaSUG |
2025 |
Elevating Clinical Research: Strategic Implementation of CDASH and SDTM Standards |
Hayden Patel |
source |
4 |
| PharmaSUG |
2025 |
Embracing Continuous Learning in the Life Sciences Ecosystem |
Iuliana Constantin |
source |
11 |
| PharmaSUG |
2025 |
Enhancing Dictionary Management and Automation with NCI EVS: A Deeper Dive for the CDISC Community |
Anthony Chow |
source |
6 |
| PharmaSUG |
2025 |
Ensuring Data Integrity: Techniques for Validating SDTM Datasets in Clinical Research |
Amy Welsh |
source |
8 |
| PharmaSUG |
2025 |
Follow the Yellow Brick Road: Finding the Critical Path for a Study-s Lifespan |
Jake Gallagher |
source |
4 |
| PharmaSUG |
2025 |
Generative AI in Biometrics: Transforming Clinical Trials with Supercharged Efficiency an Innovation |
Kevin Lee |
source |
6 |
| PharmaSUG |
2025 |
Improve Your CRF Review Process: A Python-Based Approach to Capturing CRFs via Browser Automation |
Andrew Herndon |
source |
8 |
| PharmaSUG |
2025 |
Integrating Generative AI into Medical Writing: Building an Interactive Drafting and Search Framework |
Tadashi Matsuno |
source |
12 |
| PharmaSUG |
2025 |
Leading Through Change: Motivating Programming Teams During Mergers and Integrations |
Shefalica Chand |
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 |
Promising Zone Designs for Sample Size Re-estimation in Clinical Trials: Graphical Approaches Using SAS |
Zhao Yang, Shivani Nanda |
source |
18 |
| PharmaSUG |
2025 |
R Programming in SAS LSAF: How to Generate Clinical Reports Using an R Session |
Praneeth Adidela |
source |
12 |
| PharmaSUG |
2025 |
Streamlining and Accelerating Clinical Research through AI and GenAI driven Insights and safety review of Medical and Scientific Literature |
Rohit Kadam, Saurabh Das, Rajasekhar Gadde, Niketan Panchal, Alejandra Guerchicoff |
source |
6 |
| PharmaSUG |
2025 |
Understanding HIV: At-Risk Populations, Treatment, Prevention and Standardized Data Representation in HIV Studies |
Jyoti (Jo) Agarwal |
source |
12 |
| PharmaSUG |
2025 |
Unlocking Insights: Comparative Analysis of CRF Changes with R Shiny |
Mayank Singh |
source |
5 |
| PharmaSUG |
2025 |
Zero to Hero: The Making of a Comprehensive R Shiny Figures App |
Yi Guo, Matthew Salzano, Nicholas Sun, Sean Healey |
source |
30 |
| PHUSE US |
2025 |
A Customized Algorithm to Evaluate the Quality and Reliability of Real-World Lab Data |
Lihai Song |
source presentation source |
10 |
| PHUSE US |
2025 |
A Guided User Experience for Automated Mapping |
Nathan Johnson |
source presentation source |
9 |
| 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 |
AI Ethical Considerations in Drug Development and Regulatory Review |
Tara Chavda, Qingying Ally Lu |
source presentation source |
5 |
| PHUSE US |
2025 |
Big Data Analytics: Unlocking Insights from Vast Clinical Datasets |
Bill Qubeck, Kala Shivalingaiah |
source presentation source |
16 |
| PHUSE US |
2025 |
Biomedical Concepts: What Are They and Why Should I Care? |
Stuart Malcolm |
source presentation source |
7 |
| PHUSE US |
2025 |
Building Rome in a Few Months: How Open-Source Technologies Empower Small Pharma |
Chendi Liao, Kasra Yousefi |
source presentation source |
5 |
| PHUSE US |
2025 |
Can AI Help Overcome the Validation Burden for Open Source? |
Marc Jantke |
source presentation source |
8 |
| PHUSE US |
2025 |
CDISC 360i: Implementing the CDISC Roadmap Connecting Standards from Design to Analysis |
Chris Decker, Peter Van Reusel |
source presentation source |
4 |
| PHUSE US |
2025 |
CDISC Open Rules: A Deep Dive into Custom Rule Creation |
Roman Radelicki |
source presentation source |
12 |
| PHUSE US |
2025 |
Challenges of Genomic Data in Clinical Trials |
Hong Zheng, Lingsong Yun |
source presentation source |
8 |
| PHUSE US |
2025 |
Considerations for the Submission of RWD using CDISC with Insights from HL7 FHIR and OMOP |
Ingeborg Holt, Sarah Ferko, Jeffrey M. Abolafia |
source presentation source |
15 |
| PHUSE US |
2025 |
Digital Health Technologies: Evolution, Insights and Future Directions [presentation] |
Vijay Pasapula |
source |
28 |
| PHUSE US |
2025 |
Dismantling the Black Box: Why We Need to Think Bigger About AI Integration |
Christina Dinger, Joe Lebers |
source presentation source |
7 |
| PHUSE US |
2025 |
Dynamic Survival Model for Monitoring Resistance Mutations in Targeted Therapy: Advancing Precision Medicine in Oncology |
Hong Zheng |
source presentation source |
5 |
| PHUSE US |
2025 |
Effective Adverse Event Management |
Eva Kelty, Catharina Dahlbo |
source poster source |
6 |
| PHUSE US |
2025 |
Enhancing Clinical Trial Data Queries with LLMs and Neo4j: A Flexible Framework for ADaM Dataset Management |
Jaime Yan |
source presentation source |
28 |
| PHUSE US |
2025 |
Enhancing the (ASAP) Aggregate Safety Assessment Planning Framework with an Interactive R Markdown Application: Seeing is believing! |
Debopriya Ghosh |
source presentation source |
7 |
| PHUSE US |
2025 |
eProtocol and the Promise of Automation |
Bill Qubeck, Suhas Giriraj |
source presentation source |
17 |
| PHUSE US |
2025 |
From Application to Approval: Exploring the FDA's Review Process |
Kiran Bonda |
source presentation source |
4 |
| PHUSE US |
2025 |
From Data Manager to Data Scientist: Navigating the Future of Data Management in Clinical Trials |
Debra Anderson |
source presentation source |
6 |
| PHUSE US |
2025 |
From Fragmentation to Fusion: A Journey through Mergers and Acquisitions Data Integration Challenges |
Xiao Huang |
source presentation source |
3 |
| PHUSE US |
2025 |
From Manual to Machine: Leveraging Best-of-Breed Approaches in Clinical Data Management |
Joseph Lebers |
source presentation source |
10 |
| PHUSE US |
2025 |
From Topline to Triumph: Visualising the Pathways to Regulatory Approval |
Jasperlynn Kao |
source poster source |
5 |
| PHUSE US |
2025 |
Future-Proofing Clinical Data Standards: Preparing for AI and Machine Learning |
Shivoy Pandita |
source presentation source |
8 |
| PHUSE US |
2025 |
Gen AI-Powered Trial Performance Co-Pilot to Accelerate Clinical Trials |
Venkata Sureshbabu Bondu, Mohit Sehgal |
source presentation source |
4 |
| PHUSE US |
2025 |
GPT-Powered Data Insights: Advancing Clinical Data Analytics with Large Language Models (LLMs) |
Melanie Hullings |
source presentation source |
5 |
| PHUSE US |
2025 |
Harmonising Heterogeneity: Orchestrating Innovation Through Interdisciplinary Collaboration and Strategic Alignment |
Dorothy Dlamini, Srinivas Veeragoni |
source presentation source |
5 |
| PHUSE US |
2025 |
Harnessing the Power of R Shiny in a GxP-Compliant and Validated Manner for Clinical Trial Use |
Sanyogeeta Andhale, Shilpa Sood |
source presentation source |
13 |
| PHUSE US |
2025 |
Health Authority Interactions and Communication During the Submission Process |
Ritesh Dhimmar, Raman Bassi |
source presentation source |
5 |
| PHUSE US |
2025 |
How Unique is it for the Subject Identifier in a Study To Have Multiple Screenings and Enrolments? |
Anahita Vyas, Rama Kudaravalli |
source presentation source |
8 |
| PHUSE US |
2025 |
Interactive Dashboards - Empowering Clinicians to Generate Reports Instantly |
Inderjeet Arora |
source presentation source |
8 |
| PHUSE US |
2025 |
Kraken: A Shiny Application for Visualising SDTM Data in Early-Phase Clinical Trials |
Rutu Patel |
source presentation source |
12 |
| PHUSE US |
2025 |
Leadership Presentations: Adapting to the Future: How CROs are Evolving to Meet the Shifting Landscape of Programming and Analysis Generation [presentation] |
Lavanya Peddibhotla |
source |
10 |
| 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 |
LLMs in Drug Development - The Future is Closer Than We |
Think Chris McSpiritt |
source presentation source |
9 |
| PHUSE US |
2025 |
Optimising AI Software for Automated Protection of Personal and Commercially Sensitive Data |
Honz Slipka |
source poster source |
7 |
| PHUSE US |
2025 |
Optimizing Development and Regulatory Submission of eSUB Package for Exposure-Response and PK/PD Analysis |
Saumilkumar Tripathi, Ephicacy Lifescience |
source presentation source |
10 |
| PHUSE US |
2025 |
Posit Team: Metadata-Driven Risk Assessment and Surfacing Validated R Packages |
Philip Bowsher, Michael Mayer |
source presentation source |
5 |
| PHUSE US |
2025 |
Python's Future in Clinical Trials: Innovations and Collaborative Advancements |
Shweta Shukla, Sohan Lal |
source presentation source |
10 |
| PHUSE US |
2025 |
Real-World Data - Analysis-Ready Datasets: A Standardised, Specialised and Innovative Data Solution for Efficient Real-World Data Analysis |
Nayan Chaudhary, Navdeep Pal |
source presentation source |
12 |
| PHUSE US |
2025 |
Revolutionising Clinical Trials: Gen AI-Powered Biometrics Breakthroughs |
Kevin Lee |
source presentation source |
6 |
| PHUSE US |
2025 |
Risk Based Quality Management (RBQM) in Clinical Data Management |
Marcin Kot, Anna Górecka |
source presentation source |
9 |
| PHUSE US |
2025 |
Risk-Informed Data Strategies to Streamline Trial Complexity |
Tiina Erb |
source presentation source |
3 |
| PHUSE US |
2025 |
Role of PK/PD, Biomarker Analysis in the Expansion of Phase 1 Trials |
Lavanya Peddibhotla |
source presentation source |
7 |
| PHUSE US |
2025 |
Streamlining Machine Learning Modelling in Neuroscience Clinical Trials Through Cross-Functional Collaboration |
Jing Dai |
source presentation source |
5 |
| PHUSE US |
2025 |
Surviving a Sunset: Being Resilient in the Face of Open-Source Disruption |
Franklin E. Menius |
source presentation source |
5 |
| PHUSE US |
2025 |
The Best of Both Worlds: Machine Learning and Human-in-the-Loop Processing in TFl Design, Production and Validation |
Steve Ross, Ilan Carmeli |
source presentation source |
6 |
| PHUSE US |
2025 |
The Future of Data Surveillance in Clinical Studies: A Comprehensive Approach to Data Monitoring Using an R Shiny Application for Study Health |
Jacky Jin, Ruchitbhai Patel |
source presentation source |
5 |
| PHUSE US |
2025 |
The Olympics of Data Ingestions |
Cathryn Herbst |
source presentation source |
8 |
| PHUSE US |
2025 |
Transforming Clinical Trials with AI-Driven Protocol Optimization and Next-Gen Statistical Programming |
Ravindra Shukla |
source presentation source |
8 |
| PHUSE US |
2025 |
Transforming Clinical Trials: Leveraging Bayesian Statistics in Innovative Trial Design, Analysis, Applications and Navigating Challenges |
Jaskaran Singh Saini |
source presentation source |
11 |
| PHUSE US |
2025 |
Unlocking the Secrets of Health: A Unified Approach to Biomarker and Clinical Data Integration |
Pavan Kumar Tatikonda |
source presentation source |
8 |
| PHUSE US |
2025 |
Verify: A First-in-Class Review and Validation Platform for Biometrics in Clinical Research |
Achinoam Ravet Perel |
source presentation source |
3 |
| PHUSE US |
2025 |
Wearable Technology: Enhancing Patient Monitoring and Real-World Evidence |
Bill Qubeck, Sridhar Vijendra |
source presentation source |
15 |
| PHUSE US |
2025 |
Your SCE is Only as Good as Your Data: The Central Role of Information Governance in Clinical Research |
Michelle Chen |
source presentation source |
3 |
| PHUSE EU |
2024 |
A Guided User Experience for Automated Mapping |
Achilleas Zaras |
source presentation source |
9 |
| PHUSE EU |
2024 |
Agile Leadership: Inspiring Resilience, Open Collaboration, and Creative Problem-Solving for Outcome-Based Continuous Innovation |
Bhavesh Patkar |
source presentation source |
6 |
| PHUSE EU |
2024 |
Artificial Intelligence Potential Use Cases in Clinical Data Engineering |
Deepak Pakalapati, Mounika Pillamarapu |
source presentation source |
8 |
| PHUSE EU |
2024 |
Behind the Blind: Enhancing Clinical Data Management with Python |
Niels Schrauwen |
source presentation source |
5 |
| PHUSE EU |
2024 |
Block by Block: introducing blockr, the Flexible Open-Source Dashboard Builder |
Karma Tarap, Jean-Philippe Coene |
source presentation source |
7 |
| PHUSE EU |
2024 |
Considerations for the Submission of RWD using CDISC with Insights from HL7 FHIR and OMOP |
Jeffrey M. Abolafia, Sarah Ferko, Ingeborg Holt |
source presentation source |
13 |
| PHUSE EU |
2024 |
DaVinci: A Modular Framework for Interactive Data Exploration and Visualisation in Clinical Research |
Isabel Glauß, Stefan Döring |
source presentation source |
5 |
| PHUSE EU |
2024 |
Debugging Leadership: Cracking the Code of Statistical Programming Teams in Pharma |
Jessica Hirsch, Vitali Gering |
source presentation source |
2 |
| PHUSE EU |
2024 |
Digital Data Flow: Achieving Protocol Digitalisation and Clinical Research Interoperability Through Multi-Stakeholder Collaboration [presentation] |
Mikkel Traun, Lakshmi Sankar |
source |
21 |
| PHUSE EU |
2024 |
End-to-end Automation Using a Model-Driven Development (MDD) Workbench |
Stuart Malcolm |
source presentation source |
7 |
| PHUSE EU |
2024 |
Failed Clinical Trials: How to Benefit From Negative Experience |
Anna Amosova |
source presentation source |
13 |
| PHUSE EU |
2024 |
From Senior Programmer to Head-of-Function: taking that 'leap-of faith' |
Roxanne McGuire |
source presentation source |
5 |
| PHUSE EU |
2024 |
Introduction to the ADNCA ADaM |
Charlotte Hampson, Florence Horspole |
source poster source |
4 |
| PHUSE EU |
2024 |
Leveraging Data Science and Analytics to Optimise Clinical Trial Execution |
Melanie Hullings |
source presentation source |
4 |
| PHUSE EU |
2024 |
Leveraging Shiny Modules for Modular and Scalable Web Applications for Clinical Trials/Research |
Sohan Lal, Pinku Hooda |
source presentation source |
10 |
| PHUSE EU |
2024 |
Leveraging the USDM Standard in OpenStudyBuilder for Enhanced Data Exchange |
Marius Conjeaud |
source presentation source |
7 |
| PHUSE EU |
2024 |
Navigating the Clinical Research Landscape: The Role of Regulatory Intelligence and LLMs |
Federica Citterio, Soundarya Palanisamy |
source presentation source |
9 |
| PHUSE EU |
2024 |
R Scripts for Streamlining Non-Compartmental Analysis (NCA): A Data Programmer's Dream |
Valentin Legras |
source presentation 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 |
Standards Implementation with a Knowledge-Driven, AI-Powered Platform |
Roger Gagali Angoh |
source presentation source |
3 |
| PHUSE EU |
2024 |
Stop Chatting, Start Scanning: AI's Visual Takeover in Pharma for Data Extraction with the Power of LLMs |
Ercan Suekuer |
source presentation source |
3 |
| PHUSE EU |
2024 |
The Prentice-Wilcoxon Test to Study Time to Healing for Split Face, Double Blind, Dermatology Clinical Trials |
Shrutimita Pokhariyal, Craig Wesselman |
source presentation source |
10 |
| PHUSE EU |
2024 |
Trustworthy and responsible AI in health care and life sciences from a leadership perspective |
Mark Lambrecht |
source presentation source |
3 |
| PHUSE EU |
2024 |
Unlocking the Enigma: Exploring SAS and R Strategies for Handling Non-Printable and Special Characters |
Eldho Alias, Vishal V Nair, Pooja Pradeep Pillai |
source presentation source |
11 |
| PHUSE EU |
2024 |
Working with Omics data - A Statistical Programmers perspective |
Adrian Czaban |
source presentation source |
10 |
| PHUSE EU |
2024 |
{SAS to R-evolution}: A Statistical Programming Team Journey [poster] |
Charlotte Cheinin |
source |
1 |
| SESUG |
2024 |
A SAS MACRO to parse clinical conductor timesheets |
Kennedy Kamau Gachigi |
source |
6 |
| SESUG |
2024 |
The Essentials Given - Becoming an Expert of Statistical Programming in Pharma & Health Care Industry |
Hongbo Li |
source |
5 |
| WUSS |
2024 |
The Business Value of Diversity Combined with Data Science |
Stephen B. Sloan |
source |
5 |
| WUSS |
2024 |
Training Domain Specific AI for Clinical Data: Developing an AI Agent to Transform EDC Data to CDISC SDTM and then to ADaM Standards |
Sy J. Truong |
source |
12 |
| PharmaSUG CN |
2024 |
An Efficient R Shiny App for Exposure-Response Relationship (E-R) Analysis in Oncology Drug Development |
Zhenghao Chu |
source |
28 |
| PharmaSUG CN |
2024 |
Biomarker Analysis Data Centralization Platform: Accelerators for data analysis automation |
Jinzhi Zhou, Jiazheng Zhang, Linxin Zhang, Jie Liu |
source |
5 |
| PharmaSUG CN |
2024 |
Deep Dive into IB and DSUR: A Compound Lead Programmer's Perspective |
Yang Song |
source |
7 |
| PharmaSUG CN |
2024 |
Implementation on concentration-QTc modeling |
Daoqing Li, Deli Cao |
source |
20 |
| PharmaSUG CN |
2024 |
One-stop solution for QA - Automation Tool by Python |
Yangxue Ma |
source |
5 |
| 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 |
A New Way to Automate Data Validation with Pinnacle 21 Enterprise CLI in LSAF |
Crystal Cheng |
source |
7 |
| PharmaSUG |
2024 |
A Programmer-s Insight into an Alternative to TQT Study Data Submission |
Hiba Najeeb, Raghavender Ranga |
source |
7 |
| PharmaSUG |
2024 |
Advancing the Maturation of Standardized CRF Design |
Sugumaran Muthuraj, Rubha Raghu |
source |
9 |
| PharmaSUG |
2024 |
AI and the Clinical Trial Validation Process - Paving a Rocky Road |
Steve Ross, Ilan Carmeli |
source |
7 |
| PharmaSUG |
2024 |
Around the Data DOSE-y Doe, How Much Fun Can Your Data Can Be: Using DOSExx Variables within ADaM Data Sets |
Inka Leprince, Richann J. Watson |
source |
12 |
| PharmaSUG |
2024 |
Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research |
Vadym Kalinichenko |
source |
11 |
| PharmaSUG |
2024 |
Bridging AI and Clinical Research: A New Era of Data Management with ChatGPT |
Illia Skliar |
source |
12 |
| PharmaSUG |
2024 |
Embracing Diversity in Statistical Computing Environments: A Multi-Language Approach |
Amit Javkhedkar, Sridhar Vijendra |
source |
6 |
| PharmaSUG |
2024 |
Facilitating Seamless SAS-to-R Transition in Clinical Data Analysis: A Finetuned LLM Approach |
Chaitanya Pradeep Repaka, Santhosh Karra |
source |
6 |
| PharmaSUG |
2024 |
Game changer! The new CDISC ADaM domain ADNCA for PK/PD data analysis |
Santosh Ranjan |
source |
7 |
| PharmaSUG |
2024 |
I Want to Break Free: CRF Standardization Unleashing Automation |
Laura Fazio, Andrew Burd, Emily Murphy, Melanie Hullings |
source |
6 |
| PharmaSUG |
2024 |
Leadership Lessons from Another Life: How my Previous Career Helped Me as a Statistician |
Christiana Hawn, Lily Ray |
source |
5 |
| PharmaSUG |
2024 |
Methodology for Automating TOC Extraction from Word Documents to Excel |
Jeetender Chauhan, Madhusudhan Ginnaram, Sarad Nepal, Jaime Yan |
source |
5 |
| PharmaSUG |
2024 |
One size does not fit all: The need and art of customizing SCE and MDR for end users |
Shilpa Sood, Sridhar Vijendra |
source |
6 |
| PharmaSUG |
2024 |
Ongoing Trends and Strategies to Fine-tune the CRO/Sponsor Partnership - Perspectives from Statistical Programming |
Mathura P. Ramanathan |
source |
10 |
| PharmaSUG |
2024 |
Optimizing Clinical Data Processes: Harnessing the Power of Metadata Repository (MDR) for Innovative Study Design (ISD) and Integrated Summary of Safety (ISS) / Efficacy (ISE) |
Lakshmi Mantha, Purvi Kalra, Arunateja Gottapu |
source |
9 |
| PharmaSUG |
2024 |
Protocol Amendments and EDC Updates: Downstream impact on Clinical Trial Data |
Anbu Damodaran, Ram Gudavalli, Kumar Bhimavarapu |
source |
11 |
| PharmaSUG |
2024 |
Submitting Patient-Reported Outcome Data in Cancer Clinical Trials - Guidance for Industry Technical Specifications Document [presentation] |
Flora Mulkey |
source |
48 |
| PharmaSUG |
2024 |
Utilizing Data Visualization for Continuous Safety and Efficacy Monitoring within Early Development |
Margaret Wishart, Tamara Martin |
source |
5 |
| PharmaSUG |
2024 |
Visual discovery in Risk-Based Monitoring using topological models |
Kostiantyn Drach, Iryna Kotenko |
source |
31 |
| PHUSE US |
2024 |
Auditing an Open-Source Software Framework in a Regulatory Environment: Challenges, Gaps and Recommendations |
Uday Preetham Palukuru, Shahrzad Talebian |
source presentation source |
5 |
| PHUSE US |
2024 |
Automation of Exploratory Report Generation using R shiny and R Markdown |
Denny Sebastian |
source poster source |
7 |
| PHUSE US |
2024 |
Bioinformatics Tools in Digital Health and Remote Monitoring |
Sugumaran Muthuraj, Barath Baskaran |
source presentation source |
7 |
| PHUSE US |
2024 |
Case study of verification and validation methods for algorithmic predictive biomarkers |
Kartik Shetty |
source presentation source |
4 |
| PHUSE US |
2024 |
ChatGPT and AI/ML-Empowered Websites for All |
Jayapandian Nagamalaiyan |
source |
5 |
| PHUSE US |
2024 |
Codeless Queries: Harnessing AI to Translate Clinical Trial Questions into Custom Listings Through Intuitive UI Interactions |
Aditya Gadiko |
source presentation source |
7 |
| PHUSE US |
2024 |
Embracing the Future of Digitisation: Uninterrupted Data Flows from Protocol Design to Electronic Data Capture [presentation] |
William Illis, Diana Ye |
source |
18 |
| PHUSE US |
2024 |
Empowering Excellence: Strategies for Cultivating a Culture of Bold Decision-Making in Teams |
Mark Bynens |
source |
8 |
| PHUSE US |
2024 |
Empowering Healthcare Through Generative AI |
Ravindra Shukla, Aman Bahl |
source presentation source |
7 |
| PHUSE US |
2024 |
Enabling the Breakthroughs of Tomorrow: The Data Lakehouse for Clinical Trials |
Venu Mallarapu |
source presentation source |
12 |
| PHUSE US |
2024 |
Enabling the Interoperable Data Ecosystem with the elluminate Clinical Data Cloud [presentation] |
Nathan Johnson |
source |
15 |
| PHUSE US |
2024 |
Fidelity Assessment of Real-World Data (RWD) as an External Control Arm |
Mohamed Sameer, Umayal Annamalai |
source poster source |
5 |
| PHUSE US |
2024 |
Front-Loading Statistical Programming Using Automated Synthetic Data |
Faezeh Moshfeghifar, Hemanth Padmakar |
source presentation source |
5 |
| PHUSE US |
2024 |
Future Clinical Data Submission Standards: CDISC, FHIR, OMOP, or Hybrid Model |
Jeffrey M. Abolafia, Sarah Ferko, Ingeborg Holt |
source presentation source |
10 |
| PHUSE US |
2024 |
Future-Proofing Clinical Data Sciences: The Pivotal Role of Therapeutic Area Proficiency |
Sascha Ahrweiler |
source presentation source |
12 |
| PHUSE US |
2024 |
Identifying Data Quality Issues in Clinical Trials Using OpenAI Embeddings |
Yash Shah, Ashwin Rai |
source presentation source |
5 |
| PHUSE US |
2024 |
Leading Teams Through Clinical Data Transformation with Storytelling |
Alison Banda, Katrina Rice |
source presentation source |
3 |
| PHUSE US |
2024 |
Mining Historical Data and Epidemiological Evidence for Real-World Studies |
Shubhranshu Dutta |
source poster source |
13 |
| PHUSE US |
2024 |
Navigating RBQM Change Management: Real-World Strategies for Success |
Jamie O'Neill |
source presentation source |
4 |
| PHUSE US |
2024 |
Navigating the Safe Integration of AI (ChatGPT) into Clinical Trials Programming Workflow |
Mykyta Vysotskyi |
source presentation source |
10 |
| PHUSE US |
2024 |
Optimizing Clinical Research: Using AI for Automated Validation of Output Tables against ADaM |
Steve Ross |
source presentation source |
5 |
| PHUSE US |
2024 |
Post-Pandemic Trends in Study Designs |
Charumathy Sreeraman, Jisha George |
source presentation source |
7 |
| PHUSE US |
2024 |
Scaling ECAs from Projects to the Enterprise: Multicentre, Multisource Infrastructure for External Control Arms |
Jussi Leinonen, Mayur Saxena |
source presentation source |
4 |
| PHUSE US |
2024 |
Software Product Lines Framework: How to Manage End-to-End Metadata-Driven Automation at Sale |
Stuart Malcolm |
source poster source |
5 |
| PHUSE US |
2024 |
Spline Analysis to Understand the Non-linear Relationship in Clinical Research |
Anwaya Joshi |
source presentation source |
9 |
| 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 |
The Potential Power of Data |
Eva Kelty, Catharina Dahlbo |
source presentation source |
5 |
| 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 US |
2024 |
Usage of OMOP-CDM along with CDISC in Clinical Trials: Challenges and Opportunities |
Parag Shiralkar |
source presentation source |
5 |
| PHUSE EU |
2023 |
A Beginner's Guide to Overcome the Attrition Bias in Clinical Research: The Method of Inverse Probability of Attrition Weighting (IPAW) |
Parichay Srivastava |
source presentation source |
9 |
| PHUSE EU |
2023 |
Automation and Orchestration of Data Science Applications Using OpenAPI |
Dmitry Zakharov, Alexander Lüders |
source presentation source |
3 |
| PHUSE EU |
2023 |
Avoid Major Pitfalls When Using Real-World Evidence (RWE) in Regulatory Submissions |
Alex Ide, Mark Lambrecht |
source presentation source |
3 |
| PHUSE EU |
2023 |
Be Future-Minded While Designing Your Next Generation SCE |
Susanne M. Andersen, Olivier Bouchard |
source presentation source |
12 |
| PHUSE EU |
2023 |
Becoming an Integrated Part of the Open-Source Pharma Community |
Philip Bowsher |
source presentation source |
11 |
| PHUSE EU |
2023 |
Boosting SAS Programming Efficiency with ChatGPT: A Clinical Trials Perspective |
Illia Skliar |
source presentation source |
11 |
| PHUSE EU |
2023 |
Developing and Implementing CDISC CORE rules: from zero to hero |
Marisa Wyckmans |
source presentation source |
8 |
| PHUSE EU |
2023 |
Driving Better Health for More People - SAS Life Science Analytics |
William Kuan, Olivier Bouchard |
source presentation source |
8 |
| PHUSE EU |
2023 |
Empowering Paediatric Drug Development: CDISC Standards and ICH Guidelines for Clinical Trials with Little Participants |
Ninan Luke |
source presentation source |
5 |
| PHUSE EU |
2023 |
GPT (Generative Pretrained Transformers) and LLM (Large Language Models) have generated a lot of attention since their inception in early 2023 with the advent of OpenAI GPT3.5, then GPT4.0 |
Jerome Vetillard, Mark Lambrecht |
source presentation source |
16 |
| PHUSE EU |
2023 |
Heading to Base Camp On Our Way Up the Open-Source Mountain... |
Andy Nicholls |
source presentation source |
4 |
| PHUSE EU |
2023 |
Human BioGeography: predicting clinical trials outcome using a 3D human body simulation with a GIS framework |
Diego Caso, Rocio Matesanz Sanchez, PhD Student |
source presentation source |
6 |
| PHUSE EU |
2023 |
Increasing Trend of Biomarker Analysis in Clinical Trials |
Anjali Ranga |
source presentation source |
11 |
| PHUSE EU |
2023 |
Integrating Isolated Clinical Trial Systems with RESTful APIs: Enhancing Data Accessibility and Collaboration |
Sumesh Kalappurakal, Nicolas Dupuis |
source presentation source |
7 |
| PHUSE EU |
2023 |
Optimizing Clinical Trial Design with Real-Time Sample Size Calculation and Enrollment Projection: A Shiny Dashboard Solution |
Dony Sabu |
source presentation source |
5 |
| PHUSE EU |
2023 |
Patient Profiles v2.0: Easy and Quick Clinical Trial Insights in Tableau |
Roman Radelicki, Annelies Van Zeveren |
source presentation source |
6 |
| PHUSE EU |
2023 |
Red Pill or Blue Pill? Assessing the Impact of Artificial Intelligence on Pharmaceutical Programming |
Paul Shannon |
source presentation source |
6 |
| PHUSE EU |
2023 |
SAS Packages for Clinical Programming |
Eldho Alias, Prasanth Prabhakaran, Rahulraj V R |
source presentation source |
7 |
| 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 |
Streamlining Clinical Data Analysis and Reporting with R: Best Practices, Tips and Techniques for Efficient Workflow Management and Code Optimisation |
Vaibhavi Govind Bhide, Perry Meeks |
source presentation source |
12 |
| PHUSE EU |
2023 |
Submission Standards for Real-World Data: Gaps, Limitations and Recommendations |
Jeffrey M. Abolafia, Sarah Ferko, Ingeborg Holt |
source presentation source |
8 |
| PHUSE EU |
2023 |
TFL Automation the CDISC 360 Way |
Alison Macnab, John McDade |
source presentation source |
12 |
| 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 Power of Large Language Models for Clinical Data Approaches: Will AI chatbots like ChatGPT/Bard replace statistical programmer and statisticians over time? |
Ercan Suekuer |
source presentation source |
9 |
| WUSS |
2023 |
Navigating SAS and CDISC Certification with Apprenticeship |
Sarvar Khamidov |
source |
7 |
| PharmaSUG |
2023 |
A utility to combine study outputs into all-in-one PDF for DSUR |
Wei Shao |
source |
8 |
| PharmaSUG |
2023 |
An End-to-End and Fully Integrated Clinical Development Platform with eDC/Labs data Data Management, Medical Review, Statistical Analysis and Adaptive Design etc. |
Peter Wang, Vindyala Sunil |
source |
6 |
| PharmaSUG |
2023 |
Digital Data Flow (DDF) and Technological Solution Providers |
Prasoon Sangwan, Piyush K. Singh |
source |
8 |
| PharmaSUG |
2023 |
Handling Anti-Drug Antibody (ADA) Data for Efficient Analysis |
Sabarinath Sundaram, Johnny Maruthavanan |
source |
7 |
| PharmaSUG |
2023 |
Metaverse in the Healthcare - More Real than imagined! |
Aman Bahl |
source |
14 |
| PharmaSUG |
2023 |
Shifting the drug development paradigm with Adaptive Design and master protocol |
Aman Bahl |
source |
16 |
| PharmaSUG |
2023 |
Traceability: Not just about Data |
Rohit Nagpal, Kavitha Mullela |
source |
11 |
| PharmaSUG |
2023 |
Using R to Automate Clinical Trial Data Quality Review |
Melanie Hullings, Emily Murphy, Derek Lawrence, Michelle Cohen, Andrew Burd |
source |
6 |
| PharmaSUG |
2023 |
What-s the F in specialized people? Let-s talk FSP - the models, variations, and what it takes to be successful |
Kathy Bradrick, Ershlena McDaniel, Lisa Stetler |
source |
5 |
| PharmaSUG |
2023 |
What-s the story in your subgroup analysis |
Lucy Dai |
source |
6 |
| PHUSE US |
2023 |
A Pragmatic Approach to Data Cleaning - Decisions in Selecting When to Apply AI/ML [presentation] |
Robert Musterer, Alison Banda |
source |
15 |
| PHUSE US |
2023 |
An introduction to NEST, an open-sourced R toolkit for TFL delivery and interactive data displays used in all new Roche trials [presentation] |
Vincent Shen, James Black |
source video |
35 |
| PHUSE US |
2023 |
Build vs Buy for SCE: Considerations for the Future of the Statistical Computing Environment (SCE) [presentation] |
Nathan Johnson, Alison Banda |
source video |
20 |
| PHUSE US |
2023 |
Digging Deep into Digital Biomarkers: Empowering Clinical Trials |
Vijay Pasapula, Gianna Huang |
source presentation source |
12 |
| PHUSE US |
2023 |
Future Workforce: How to invest in your team through Innovative transformation |
Limna Salim |
source presentation source |
8 |
| PHUSE US |
2023 |
If Data is the New Oil, How Do You Make the Most of Your Reserves? |
Simon Luo, Ashley Mao |
source presentation source |
4 |
| PHUSE US |
2023 |
Increasing Use of Chatbots in Mental Health Trials [poster] |
Vidya Muthukumar |
source |
1 |
| PHUSE US |
2023 |
Making Define-XML Work for You: Considerations in Supporting a Full Schema Implementation [presentation] |
Carlo Radovsky |
source |
50 |
| PHUSE US |
2023 |
Master Protocol Design: Advantages and Challenges in Vaccine Clinical Trials [presentation] |
Janaki Shankaran, Meenal Gawas |
source video |
19 |
| PHUSE US |
2023 |
SIGMA: What is the Sum of its Impact on Pfizer's Statistical A&R Space? [presentation] |
Christopher J. Colangelo |
source video |
12 |
| PHUSE US |
2023 |
Structured Protocol Authoring (SPA) - A Catalyst for Clinical Protocol Development |
Suhas Giriraj |
source presentation source |
4 |
| PHUSE US |
2023 |
Synthetic Control Arms: Are they the future of Drug Development? [presentation] |
Sherrine Eid |
source video |
16 |
| PHUSE US |
2023 |
The Evolving Role of Project Programmer in The Next 3-5 Years |
Vinay Gupta, Manas Rout |
source |
5 |
| PHUSE US |
2023 |
Visualised Patient Profiles: Enhanced Timelines for Quick Decision-making [presentation] |
Jeroen Gielen, Annelies Van Zeveren |
source video |
19 |
| PHUSE EU |
2022 |
Agile RnD - From Empiricism to Success |
Marc Jantke |
source presentation source |
8 |
| PHUSE EU |
2022 |
An Approach to Effectively Reproduce TFLs When Performing ADaM Conversion [presentation] |
Amine Khemiri, Caroline Pelckmans |
source video |
19 |
| 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 |
Automation of Standard ADaM Variables Through an R Package - GenAdam |
Mahesh Divakaran |
source presentation source |
8 |
| PHUSE EU |
2022 |
Capability Building is the New Normal in the Pharmaceutical Industry |
Jaganadha Rao Gundu, Sreekar Mateti |
source |
8 |
| PHUSE EU |
2022 |
Collaboration Between Analytical Health Care Technology Leaders will Positively Impact Clinical Trial Research Innovation & Improve Health Care System [presentation] |
Mark Lambrecht, Andrew Warrington |
source video |
19 |
| PHUSE EU |
2022 |
Effective NLP API Access to Unstructured Text for Downstream Analysis and Models in Pharma: Bench to Bedside [presentation] |
Jane Reed |
source video |
26 |
| PHUSE EU |
2022 |
How to Avoid Conformance Issues When Metadata Varies Across Parameters [presentation] |
Caroline Pelckmans, Oussama Zineddine |
source video |
24 |
| PHUSE EU |
2022 |
If You Build it, Will They Come? The Pros and Cons of a Build Versus Buy Strategy for Statistical Computing Environments (SCEs) [presentation] |
Venu Mallarapu |
source |
13 |
| PHUSE EU |
2022 |
Protocol Deviation Programming [presentation] |
Oussama Zineddine, Caroline Pelckmans |
source video |
25 |
| PHUSE EU |
2022 |
Python to Automate an AR Project Identifying Discrepancies across Fields from a Government Open-source Dataset of COVID-19 Vaccine Registrations |
Aldir Medeiros Filho |
source video presentation source |
14 |
| PHUSE EU |
2022 |
Scaling within a Fast-moving Biotech Company. Key Learnings for Leaders and Innovators in Our Life Sciences Industry |
Stijn Rogiers, Jasmine Kestemont |
source presentation source |
11 |
| PHUSE EU |
2022 |
Standards Subject to Change: Data Standards Flexibility in an Evolving Landscape [presentation] |
Gina Wood, Alison Banda |
source |
28 |
| PHUSE EU |
2022 |
The Integration Dilemma |
Angelo Tinazzi |
source video presentation source |
15 |
| PHUSE EU |
2022 |
Time Goes Fast. Are You Really Ready for Unblinding? [presentation] |
Stijn Vermeylen |
source video |
23 |
| PHUSE EU |
2022 |
Visualise Me! Down the Rabbit Hole with Standardised Dashboards for Safety and Study Follow-up [presentation] |
Jeroen Gielen, Stefan Verbeeck |
source video |
22 |
| PHUSE EU |
2022 |
What's the Difference?! CRO vs Pharma [poster] |
Tom Ward, Piotr Karasiewicz |
source |
1 |
| PHUSE EU |
2022 |
Who is Subject X? [presentation] |
Vicky Poulsen, Henning Pontoppidan Föh |
source video |
26 |
| WUSS |
2022 |
Complex heatmaps in Statistical analysis of Biomarkers and cancer genomics |
Yoganand Budumuru |
source |
18 |
| WUSS |
2022 |
Quick Jumpstart into Pharmaceutical SAS Programming |
Jim Box, Matthew J. Becker |
source |
7 |
| PharmaSUG |
2022 |
A Programmer's Perspective on Patient reported Outcomes in Oncology Trials |
Divya Vemulapalli |
source |
7 |
| PharmaSUG |
2022 |
Agile innovation - an adaptive approach to transformation in Clinical Research Organizations |
Aman Bahl, Hrideep Antony |
source |
10 |
| PharmaSUG |
2022 |
Digital Health Technology in Clinical Trials: Opportunities, Challenges and Biometrics Future Re-imagined |
Kalyan Chakravarthy Buddavarapu, Sherry Ye, Vijay Vaidya |
source |
12 |
| PharmaSUG |
2022 |
Finding Accord: Developing an eCOA Data Transfer Specification (DTS) All Can Agree On |
Franklin E. Menius, Monali Khanna, Vincent Allibone |
source |
12 |
| PharmaSUG |
2022 |
Orchestrating Clinical Sequels with a Strategic Wand - Challenges of introducing Rolling CSRs in a Master Protocol |
Neharika Sharma |
source |
9 |
| PharmaSUG |
2022 |
Quality Gates: An Overview from Clinical SAS Programming Perspective |
Nagadip Rao, Pavan Jupelli |
source |
10 |
| PHUSE US |
2022 |
A Better Way: eCOA/ePRO Annotated Screen Reports (aSR) Provide Data Clarity from Data Collection to Submission |
Franklin E. Menius, Monali Khanna, Vincent Allibone |
source presentation source |
6 |
| PHUSE US |
2022 |
Data Standardization at Scale with the elluminate Clinical Data Cloud [presentation] |
Nathan Johnson |
source |
19 |
| PHUSE US |
2022 |
Fast and Curious: Reusability with Standardized Dashboards for Safety and Study Follow-up [presentation] |
Jeroen Gielen, Roman Radelicki |
source |
21 |
| PHUSE US |
2022 |
Finding a New Home-Work Balance: The Importance of Disconnecting Yourself in an Online World [presentation] |
Annelies Van Zeveren, Goele Aerts |
source video |
19 |
| PHUSE US |
2022 |
High-quality COVID Vaccine Submission at Lightning Speed [presentation] |
Helen Yang, Kiran Challagali |
source |
9 |
| PHUSE US |
2022 |
Leveraging an MDR: More than a Repository [presentation] |
Carlo Radovsky |
source |
13 |
| PHUSE US |
2022 |
RBM - The New Normal Vigilante for CROs With AI and ML [presentation] |
Vidya Muthukumar |
source |
18 |
| PHUSE US |
2022 |
SPACE - Launching GSK Biostatistics towards new horizons |
Eileen Ching |
source presentation source |
10 |
| PHUSE US |
2022 |
Staying Ahead of the Curve: The Future Direction of Modernization of Statistical Analytics (MSA) [presentation] |
Peter Mesenbrink |
source |
19 |
| PHUSE US |
2022 |
Trial Summary SDTM Domain Made Easy for Regulatory Submissions [presentation] |
Kishore Pothuri |
source |
16 |
| PHUSE EU |
2021 |
DEEP Presentation and Launch? : New Era of Collaboration - DEEP Enables an Ecosystem Approach to Advance Digital Medicine [presentation] |
Bert Hartog, Kai Langel |
source |
30 |
| 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 |
Fingerprinting Your TFL Outputs to Monitor Changes Between Batch Runs [presentation] |
Pamphile Beaujean |
source video |
20 |
| PHUSE EU |
2021 |
Incorporating Novel Real-world Evidence Across the Drug Development Continuum: Leveraging the Value of Digital Social Media [presentation] |
Nardin Farid, Stephen Doogan |
source video |
24 |
| PHUSE EU |
2021 |
New Starters Session: The Secret Sauce to Start in Our Industry [presentation] |
Amritpal Singh, Lucie Bowden |
source |
5 |
| PHUSE EU |
2021 |
New Starters Session: The Secret Sauce to Start in Our Industry [presentation] |
Amritpal Singh, Lucie Bowden |
source |
11 |
| PHUSE EU |
2021 |
R and SAS Working Together - DNR's Experience Moving to LSAF 5.3 [presentation] |
Paul Vervuren |
source video |
17 |
| PHUSE EU |
2021 |
Real-time Analysis of Clinical Trial Data [presentation] |
Jem Chang, Prasanna Murugesan |
source video |
9 |
| PHUSE EU |
2021 |
Real-world Data, CDISC SDTM, HL7 FHIR and the Future of Regulatory Submissions [presentation] |
Jozef Aerts |
source video |
17 |
| PHUSE EU |
2021 |
Software Demonstration: Unlocking Value from Structured Clinical Trial Data - Sponsored by Privacy Analytics [presentation] |
Thomasin Element |
source |
18 |
| PHUSE EU |
2021 |
Standing Room Only: AR02: The Importance of Being Ernest - The Role of QTLs in QbD [presentation] |
Andrew Lawton |
source |
19 |
| PHUSE EU |
2021 |
Standing Room Only: SA04: Diversity, Equity and Inclusion of Your Submission Package [presentation] |
Anne-Sophie Bekx |
source |
19 |
| PHUSE EU |
2021 |
Study Designs Using FHIR - Schedule of Activities Exchange Using FHIR Resources [presentation] |
Andy Richardson |
source video |
19 |
| PHUSE US |
2021 |
An R-based Tool to Build Questionnaires, Ratings and Scales (QRS) in EDC for Clinical Trials [presentation] |
Catherine Abogado, Rammprasad Ganapathy |
source video |
19 |
| PHUSE US |
2021 |
Artificial Intelligence (AI) Innovations in Clinical Research [poster] |
Sanjeeva Thalla |
source |
1 |
| 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 |
Do EudraCT the Easy Way: Semi-automation of Inputting Study & Treatment Event Information in EudraCT [presentation] |
Kevin Miller, Larry Sleeper |
source video |
21 |
| PHUSE US |
2021 |
From Digital Data to Decision Intelligence: Infrastructure and Algorithms Powering Automation in RBM and Data Review [presentation] |
Raj Indupuri |
source video |
12 |
| PHUSE US |
2021 |
Interactive Visualization and Summarization of Toxicology Study Results Across Species, Routes and Durations Throughout a Drug Development Program Using R Shiny [presentation] |
Kevin Snyder, Md Yousuf Ali |
source video |
14 |
| 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: LE06: One Sprint at a Time - Agile Transformation in Clinical Research [presentation] |
Aman Bahl, Steve Benjamin |
source |
17 |
| 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 |
Patient Registries - New Gold Standard for Real World Data [presentation] |
Lavanya Peddibhotla, Sivasankar Konda |
source video |
14 |
| PHUSE US |
2021 |
Self-sufficient Exploration of Clinical Trial Events in Different Ways and in Different Contexts [presentation] |
Eva Kelty |
source video |
15 |
| PHUSE US |
2021 |
Statistical Programming Team Contributions to Registrational Clinical Research Collaborations (rCRCs) [poster] |
Norihiko Oharu, Yan Shen |
source |
1 |
| PHUSE US |
2021 |
Using Natural Language Processing to Create Subject Safety Narratives [presentation] |
Frank Meloni, Tim Willittes |
source video |
8 |
| PharmaSUG |
2021 |
A TransCelerate Initiative - how can you modernize your statistical environment? |
Vincent J. Amoruccio, Min Lee, Daniel Woodie |
source |
16 |
| PharmaSUG |
2021 |
An efficient method to review annotation and create bookmark for case report form (acrf.pdf) using SAS program, FDF files, excel and Javascript in Acrobat |
Chen-Jung Wu |
source |
12 |
| PharmaSUG |
2021 |
Bookdown and Blogdown: Using R packages to document and communicate new processes to Clinical Programming |
Benjamin Straub |
source |
11 |
| PharmaSUG |
2021 |
Containers You Can Count On: A Framework for Qualifying Community Container Images |
Eli Miller |
source |
4 |
| PharmaSUG |
2021 |
Delight the Customer using agile transformation in Clinical Research |
Aman Bahl, Steve Benjamin, Hrideep Antony |
source |
9 |
| PharmaSUG |
2021 |
Generating FDA-ready Submission Datasets directly from EHRs |
Jozef Aerts |
source |
9 |
| PharmaSUG |
2021 |
How simulation will impact the future of Healthcare & Life Sciences. |
Pritesh Desai, Allison Sealy, Shawn Tedman, Lois Wright, Bahar Biller |
source |
14 |
| PharmaSUG |
2021 |
Productionalizing Shiny Deployments |
Philip Bowsher, Sean Lopp |
source |
6 |
| PharmaSUG |
2021 |
Shiny App for Generating Data Dependency Flowchart in ADRG |
Simiao Ye, Yilong Zhang |
source |
8 |
| PharmaSUG |
2021 |
Virtual human organs in clinical trails |
Sumeet Subhedar |
source |
3 |
| PharmaSUG |
2021 |
Why Data Scientists need leadership skills? Story of Cross-Value Chain Data Utilization Project |
Yura Suzuki, Yuichi Koretaka, Ryo Kiguchi, Yoshitake Kitanishi |
source |
8 |
| PHUSE EU |
2020 |
An Introduction to the Use of BigQuery for the Life Sciences [presentation] |
Claudio Garutti |
source video |
14 |
| PHUSE EU |
2020 |
Digital Data Flow - A Solution for Study Start-up and Amendments [presentation] |
Palanipandiyan Chokkalingam, Srinivasan Mahalingam |
source video |
22 |
| PHUSE EU |
2020 |
Drug Safety and Efficacy - Smart Regulatory Solution [presentation] |
Haider Ali, Rhim Suh Ngu'eh Shu |
source video |
17 |
| PHUSE EU |
2020 |
Enhanced COVID-19 (SARS-COV-2) Detection - An Artificial Intelligence Approach [presentation] |
Muhammad Hamiz Ahmed, Soundarya Palanisamy |
source video |
37 |
| PHUSE EU |
2020 |
Guide to Electronic Submission of Pharmacometric Datasets and Analyses to the Regulatory Authorities [presentation] |
Pooja Kulkarni |
source video |
17 |
| PHUSE EU |
2020 |
MI FOR MI, OR HOW TO HANDLE MISSING INFORMATION WITH MULTIPLE IMPUTATION |
Daria Shamaida |
source video presentation source |
8 |
| PHUSE EU |
2020 |
Patient Insights and Real-world Data from Social Media [presentation] |
Luisa Regenold, Soundarya Palanisamy |
source video |
28 |
| PHUSE EU |
2020 |
Power BI in Clinical Data Exploration: Powerful Visuals that Answer Relevant Questions |
Roxane Debrus |
source video presentation source |
11 |
| PHUSE EU |
2020 |
SDTM: Let's Read Outside the Bible [presentation] |
Sandra Latorre |
source video |
23 |
| PHUSE EU |
2020 |
The TransCelerate Hackathon: Accelerating Development [presentation] |
Johannes Ulander |
source video |
26 |
| PHUSE EU |
2020 |
Unlocking the Potential of Big Data in Clinical Research [presentation] |
Vishal Kapoor |
source video |
15 |
| PHUSE EU |
2020 |
XAI: Interpretability of Artificial Intelligence to Ensure Ethics in Drug Development [presentation] |
Olivier Bouchard |
source video |
13 |
| SGF |
2020 |
Statistical Programming in the Pharmaceutical Industry: Advancing and Accelerating Drug Development |
Harper Forbes |
source |
10 |
| SGF |
2020 |
Transfer Learning for Mining Digital Phenotype by SAS Viya |
Satoki Fujita |
source |
18 |
| PharmaSUG |
2020 |
Natural History Study - A Gateway to Treat Rare Disease |
Tabassum Ambia |
source |
5 |
| PharmaSUG |
2020 |
You down to QC? Yeah, You know me! |
Vaughn Eason, Jake Gallagher |
source |
5 |
| PHUSE US |
2020 |
A Journey Through End to End Data Flow |
Marcin Makowski, Stayce Murray |
source presentation source |
12 |
| PHUSE US |
2020 |
An Approach to Dynamic Data Visualization with dplyr DT and Shiny |
Megan Kendellen, Nicholas Masel |
source presentation source |
11 |
| PHUSE US |
2020 |
Artificial Intelligence (AI)-enhanced Precision Medicine Drug Development |
Mohammad Afshar |
source |
9 |
| PHUSE US |
2020 |
Be the Master for a Master Protocol Study |
Ke Xiao |
source poster source |
8 |
| PHUSE US |
2020 |
Best Practice for Interactive Analysis for Decision-making: An update from PHUSE Data Visualization Project |
Xiangyun Wang, Zachary Skrivanek |
source |
11 |
| PHUSE US |
2020 |
CDISC 360: Using Biomedical Concept Metadata to Generate Case Report Forms and Dataset Definitions |
Samuel Hume |
source presentation source |
13 |
| PHUSE US |
2020 |
Clarity Stack Clinical Technology - A Holistic View of Clinical Trial Operational Status and Patient Safety Data [presentation] |
Dirk Spruck, Lisa Jamba |
source |
10 |
| PHUSE US |
2020 |
Data Science Project (Educating for the Future Working Group) |
Aldir Medeiros Filho, Sascha Ahrweiler |
source presentation source |
10 |
| PHUSE US |
2020 |
Data Standards for eCOA in Clinical Trials |
Terek Peterson, Franklin E. Menius |
source presentation source |
6 |
| PHUSE US |
2020 |
Data Visualization for Medical Review |
Bharath Sunkavalli |
source presentation source |
4 |
| PHUSE US |
2020 |
Design and Conduct of Clinical Trials: Past Present and Future. New Innovative Technology Methods |
George Obsekov |
source presentation source |
12 |
| PHUSE US |
2020 |
Evolution of Clinical Data Disclosure and Transparency |
Sneha Paradkar |
source presentation source |
8 |
| PHUSE US |
2020 |
FDA and PMDA Study Data Submission Distinctions |
Kiran Kumar Kundarapu, Nancy Bauer |
source poster source |
13 |
| PHUSE US |
2020 |
Getting e-Closer to Multi-Regional Clinical Trials |
Lily Ling, Yuan Yuan Dong, Yanhong Li |
source presentation source |
5 |
| PHUSE US |
2020 |
Industry Experiences Submitting Standardized Study Data to Regulatory Authorities |
Janet Low, Vincent Guo |
source presentation source |
12 |
| PHUSE US |
2020 |
Integration of Biomarkers Data in Clinical Trials |
Prakash Dev |
source presentation source |
5 |
| PHUSE US |
2020 |
Is R language reliable and efficient tool for programming SAS datasets or just art for art's sake? |
Piotr Podlewski |
source presentation source |
9 |
| PHUSE US |
2020 |
Machine Learning-AI is the Future - What Now? |
Priyanka Adusumilli, Priyank Patel |
source poster source |
8 |
| PHUSE US |
2020 |
Managing Data Flow for Wearables, Apps and Sensors |
Mayur Tripathi, Prashanth Jayadevamurthy |
source presentation source |
4 |
| PHUSE US |
2020 |
Migrating to LSAF - The Danone Nutricia Research Journey |
Jean-Marc Ferran, Paul Vervuren |
source presentation source |
9 |
| PHUSE US |
2020 |
Open Source Technologies in Clinical Research |
Bruce Wienckowski, Michael S Rimler |
source presentation source |
7 |
| PHUSE US |
2020 |
Population PK Dataset: Basic Concepts and Challenges from the Perspective of a SAS Programmer |
Namrata Pokhrel |
source presentation source |
12 |
| PHUSE US |
2020 |
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 |
Recommendations for GDPR Compliancy by the PHUSE Data Transparency Working Group GDPR Project |
Arlene Coleman, Shannon Labout |
source poster source |
3 |
| PHUSE US |
2020 |
Rerouting Your Risk-based Monitoring Strategy: Overcoming Implementation Roadblocks with New Technologies and Approaches |
Jonathan Andrus |
source presentation source |
9 |
| PHUSE US |
2020 |
SPA - A catalyst for clinical protocol development |
Suhas Giriraj, Ephicacy Lifescience |
source presentation source |
5 |
| PHUSE US |
2020 |
Using Graph Technology for Metadata-driven Clinical Development |
Frederik Malfait |
source |
6 |
| PHUSE EU |
2019 |
Addressing the Gap in Data Standards: Introducing the Aggregation Layer |
Claudio Garutti, Marko Bomyer |
source presentation source |
11 |
| PHUSE EU |
2019 |
Clearing the Fog Surrounding LOINC |
Jordan Bristow |
source presentation source |
7 |
| PHUSE EU |
2019 |
Educating for the Future: Data Engineering Techniques |
Guy R. Garrett |
source presentation source |
10 |
| PHUSE EU |
2019 |
GDPR: Risks and Recommendations from the PHUSE Data Transparency Working |
Shannon Labout, Arlene Coleman |
source presentation source |
7 |
| PHUSE EU |
2019 |
Integrated Data and Document Anonymisation for Efficient Data Sharing [presentation] |
Ali Dootson, Cathal Gallagher |
source |
27 |
| PHUSE EU |
2019 |
Migrating to LSAF - Danone Nutricia Research's Journey |
Paul Vervuren, Jean-Marc Ferran |
source presentation source |
9 |
| PHUSE EU |
2019 |
Onboarding a Junior Statistical Programmer in 10 Weeks: My Story, from University to First Analysis Delivery |
Pieter Coppens, Annelies Van Zeveren |
source presentation source |
6 |
| PHUSE EU |
2019 |
Our Industry: Technology-driven or Driven by Technology? |
Faheeza Rangunwala |
source presentation source |
9 |
| PHUSE EU |
2019 |
Pharmacokinetic and Statistical Considerations in First-in-Human Clinical Trials |
Joanna Magielse |
source presentation source |
4 |
| PHUSE EU |
2019 |
Processing big data from multiple sources |
Berber Snoeijer |
source presentation source |
5 |
| PHUSE EU |
2019 |
R you ready for Simulo: a user-friendly clinical trial simulator |
Quentin Leirens, SGS Exprimo, Nicolas Luyckx, SGS Exprimo, Bruno Speder, SGS Exprimo |
source presentation source |
7 |
| PHUSE EU |
2019 |
Structured Clinical Development - Using a Digitized Study Design and Planning to Drive Process Automation |
Djenan Ganic |
source presentation source |
7 |
| PHUSE EU |
2019 |
The Impact of AI, RWE, Precision Medicine and Mobile Health Technology on Streamlined Clinical Trials |
Stijn Rogiers, Olivier Bouchard |
source presentation source |
11 |
| PHUSE EU |
2019 |
The Promise of Wearable Technology in Clinical Trials: A Proof of Concept to Deliver it? |
Jennifer Bradford |
source presentation source |
11 |
| PHUSE EU |
2019 |
Towards a Biomedical Concept Library: Creating and Sharing Biomedical Concepts |
David Iberson-Hurst |
source presentation source |
7 |
| PHUSE EU |
2019 |
Use of FHIR in Clinical Research: From Electronic Medical Records to Analysis |
Jeffrey M. Abolafia, Priya Gopal, Samuel Hume |
source presentation source |
12 |
| PHUSE EU |
2019 |
Utilising RWD and RWE: An Introduction to Core Concepts and Requirements |
Christopher C. Hurley, Aditya Gadiko |
source presentation source |
7 |
| 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 |
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 |
Begin with the End of Validation: Adapting QbD Approach in Statistical Programming to Achieve Quality and Compliance Excellence |
Linghui Zhang |
source |
8 |
| PharmaSUG |
2019 |
CBER Data Standards Update and BioCompute Progress |
Elaine Thompson |
source |
27 |
| PharmaSUG |
2019 |
China NMPA (National Medical Products Administration) reform and new regulations/guidelines/requirements |
Yi Yang |
source |
11 |
| PharmaSUG |
2019 |
Don't Just Rely on Processes; Support Local Subject Matter Expertise |
Deidre Kreifels, Steven R. Kirby, Mario Widel |
source |
7 |
| PharmaSUG |
2019 |
Expediting Drug Approval: Real Time Oncology Review Pilot Program |
Laxmi Samhitha Bontha |
source |
4 |
| PharmaSUG |
2019 |
Innovative Technologies utilization in 21st Novel Clinical Research programs towards Generation of Real World Data. |
Srinivasa Rao Mandava |
source |
6 |
| PharmaSUG |
2019 |
Process optimization for efficient and smooth e-data submissions to both FDA and PMDA |
Eri Sakai, Malla Reddy Boda, Akari Kamitani, Yoshitake Kitanishi |
source |
13 |
| PharmaSUG |
2019 |
SDSP (Study Data Standardization Plan) Case Studies and Considerations |
Kiran Kumar Kundarapu |
source |
8 |
| PharmaSUG |
2019 |
The Anatomy of Clinical Trials Data: A Beginner's Guide |
Venky Chakravarthy |
source |
14 |
| PharmaSUG |
2019 |
This Paper focuses on CDISC Questionnaires, Ratings and Scales (QRS) supplements and types of FDA Clinical Outcome Assessments |
Shrishaila Patil |
source |
10 |
| SGF |
2019 |
Make SAS Viya Realize Strategic Data Science - Data Governance, AI Platform and AI SAS Programmer |
Ryo Kiguchi, Katsunari Hirano, Yoshitake Kitanishi |
source |
8 |
| PHUSE US |
2019 |
A Paradigm Shift to Represent and Manage Clinical Data Standards for Creating Data-driven Specification |
Veena Nataraj |
source presentation source |
9 |
| PHUSE US |
2019 |
Analysis and Reporting Workbench (ARW) Demo |
Jenna Lo |
source presentation source |
3 |
| PHUSE US |
2019 |
CDISC Blue Ribbon Commission Update to Our Community |
David Bobbitt |
source presentation source |
4 |
| PHUSE US |
2019 |
CDISC in Phase I/II Studies: Case Studies in Adopting Standards |
Emily Woolley, Amber Randall Scharp |
source presentation source |
7 |
| 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 |
Development of a Risk-based Monitoring (RBM) Visualization Application Interface Using JMP Scripting |
Dongsun Cao, Bhargava Reddy |
source presentation source |
13 |
| PHUSE US |
2019 |
Graphical Examination of PK Parameters Versus Dose-in-Dose Escalation Trials using SAS GTL |
Chiu Tsang, Hima Bhatia |
source poster source |
9 |
| PHUSE US |
2019 |
Harness the Power of Ontologies to Build Better Information Platforms |
Peter Tormay, Anna Berg |
source presentation source |
7 |
| PHUSE US |
2019 |
Implementing a Scalable Risk-based Monitoring Strategy |
Steve Young, Erik Doffagne |
source presentation source |
4 |
| PHUSE US |
2019 |
Interactive Monitoring of Hepatotoxicity |
Susan Duke |
source presentation source |
10 |
| PHUSE US |
2019 |
Managing Complexity Towards Submission |
Johannes Ulander |
source presentation source |
26 |
| PHUSE US |
2019 |
Metadata-driven Automation in Drug Research |
Hanming Tu, Zhongping Lin |
source presentation source |
13 |
| PHUSE US |
2019 |
New Drug Development Paradigm [presentation] |
Francis Kendall, Cytel |
source |
33 |
| PHUSE US |
2019 |
R Markdown for Reproducible Research |
Cole Arendt |
source presentation source |
15 |
| PHUSE US |
2019 |
SDSP (Study Data Standardization Plan) Case Studies and Considerations |
Kiran Kumar Kundarapu, Nicole Gallegos |
source poster source |
6 |
| PHUSE US |
2019 |
Simulo - A User-friendly Platform for Model-based Simulations |
Nicolas Luyckx, Quentin Leirens |
source presentation source |
7 |
| PHUSE US |
2019 |
Striking a Balance: Adoption of Analysis Results Metadata (ARM) in Early Development Studies |
Janet Low, Pranab K. Mitra |
source presentation source |
6 |
| PHUSE US |
2019 |
The Power of Sharing Clinical Data: Real Projects with Real Impacts |
David Handelsman |
source presentation source |
6 |
| PHUSE US |
2019 |
Use of FHIR in Clinical Research: From Electronic Medical Records to Analysis |
Priya Gopal |
source presentation source |
12 |
| PHUSE US |
2019 |
Using Study Metrics to Monitor Several Aspects of Clinical Studies Virtually Real Time |
Julio Ruiz |
source presentation source |
6 |
| PHUSE EU |
2018 |
AstraZeneca Early Clinical Biometrics Journey into Integrated Clinical Data Environment |
Ruhul Amin, Per-Arne Stahl |
source presentation source |
12 |
| PHUSE EU |
2018 |
CDISC SDTM Data Automation Tool |
Brinitha Sathyabhama |
source presentation source |
6 |
| PHUSE EU |
2018 |
Data Engineering Project (Educating for the Future PHUSE Working Group) |
Guy R. Garrett, Bev Hayes |
source presentation source |
14 |
| PHUSE EU |
2018 |
Data Transparency - Breaking Down Data Silos for Improved Insight |
Peter Tormay, Anna Berg |
source presentation source |
8 |
| PHUSE EU |
2018 |
iGET it! Downloading Data from a Centralised Repository Using PROC HTTP |
Neville Cope |
source presentation source |
7 |
| 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 |
Is it Possible to Make a Global CDISC Submission? |
Marianne Carames |
source presentation source |
2 |
| PHUSE EU |
2018 |
Navigating the Mountains and Valleys of Resource Demand: A Roadmap for the Future |
Lucy Hoch, Yvonne Jangvik |
source poster source |
7 |
| PHUSE EU |
2018 |
SAS Life Science Analytical Framework (LSAF) in a Nutritional Clinical Research Setting |
Mickaël Hartweg, Justine Morlet |
source presentation source |
7 |
| PHUSE EU |
2018 |
Structured and Standardised Study Definition Drives Early Study Set-up for Added Business Benefits |
Djenan Ganic, Tanja Petrowitsch |
source presentation source |
11 |
| PHUSE EU |
2018 |
The 5 Rs of Innovative Digital Technologies |
Anna Hedman, Charlotte Lomberg |
source poster source |
4 |
| PHUSE EU |
2018 |
Use of HL7 FHIR as eSource to Pre-populate CDASH Case Report Forms Using a CDISC ODM API |
Samuel Hume, Geoff Low |
source presentation source |
12 |
| MWSUG |
2018 |
Toward Adoption of Agile Software Development in Clinical Trials |
Troy Martin Hughes |
|
7 |
| WUSS |
2018 |
CDISC in Phase I/II Studies: Approaches to adopting standards for CSR deliverables |
Emily Woolley, Amber Randall |
source |
9 |
| PHUSE US |
2018 |
Alexa for Clinical Research |
Chris Decker |
source presentation source |
6 |
| PHUSE US |
2018 |
Evaluating how Blockchain can Transform the Pharmaceutical and Healthcare Industry |
Disa Lee Choun, Jim Nasr |
source presentation source |
9 |
| PHUSE US |
2018 |
FDA Experience with Emerging Genomics Technologies [presentation] |
Weida Tong |
source |
16 |
| PHUSE US |
2018 |
Implementing an Metadata Repository Solution - A User Story |
Barrie Nelson, Wade Fairbanks |
source presentation source |
5 |
| PHUSE US |
2018 |
Making PK Analysis Easier: The New ADaM Data Standard ADNCA |
Peter Schaefer |
source presentation source |
6 |
| PHUSE US |
2018 |
Mine the Gap: How the Role of Data Scientist Fills a Need in the Pharmaceutical Industry |
Michael S Rimler, Jorine Putter |
source presentation source |
8 |
| PHUSE US |
2018 |
PHUSE Working Groups - Now & Nex |
Chris Price, Scott A. Bahlavooni |
source poster source |
7 |
| PHUSE US |
2018 |
Registry/Observational Studies: Study Designs Data Sources and Key Steps in Designing Such Studies |
Anupama Sheoran |
source presentation source |
6 |
| PHUSE US |
2018 |
SDTM and SEND: An Integrated View and Approach |
Veena Nataraj, Cheryl Riel |
source presentation source |
11 |
| PHUSE US |
2018 |
Supporting a Data Review and Visualization Application with SDTM |
Deepika Sunkara, Jagadish Dhanraj |
source presentation source |
6 |
| PHUSE US |
2018 |
The Untapped Potential of the Protocol Representation Model |
Jeffrey M. Abolafia, Frank C. DiIorio |
source presentation source |
10 |
| PHUSE US |
2018 |
Use of HL7 FHIR as eSource to Pre-populate CDASH Case Report Forms Using a CDISC ODM API |
Samuel Hume, Geoff Low |
source presentation source |
12 |
| PHUSE US |
2018 |
Using a Waiver Process as a Change-Control Tool from ADaM Standards Governance |
Karin LaPann |
source presentation source |
6 |
| PharmaSUG |
2018 |
Advanced Clinical Graphs using Axis Tables |
Sanjay N. Matange |
source |
11 |
| PharmaSUG |
2018 |
AGING MAN_AGEMENT or millennial TECH_AGEMENT - road ahead for organizations |
Charan Kumar K J |
source |
12 |
| PharmaSUG |
2018 |
Compare Pharmacokinetic Data Submission Processes in CDISC Environment |
Xiaopeng Li, Shallabh Mehta, Edward Elam |
source |
7 |
| PharmaSUG |
2018 |
Electronic Data Submission and Utilization in Japan |
Yuki Ando |
source |
25 |
| PharmaSUG |
2018 |
How PK and PD analyses drive dataset designs |
David Radtke, Brian A. Moser |
source |
7 |
| PharmaSUG |
2018 |
Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies |
Kelci J. Miclaus, Lili Li |
source |
12 |
| PharmaSUG |
2018 |
Mind Over Matter: Building an Army of Passionate Soldiers Dedicated to Saving Patients' Lives |
Shefalica Chand |
source |
10 |
| PharmaSUG |
2018 |
Preventing premature unblinding in PK/PD related studies |
Debbie Sisco, Alice Zong |
source |
11 |
| PharmaSUG |
2018 |
Programming Support for Anti-Drug Antibody Pharmacokinetics in Therapeutic Protein Drug Development |
Linghui Zhang, Jiannan Kang |
source |
11 |
| PharmaSUG |
2018 |
Using JMP Scripting Language (JSL) to create an application interface for automated analysis of Lab Data in Clinical Trial |
Dongsun Cao |
source |
11 |
| PharmaSUG |
2018 |
Why organizations need MDR systems to manage metadata? |
Abhinav Jain |
source |
7 |
| SGF |
2018 |
Advanced Graphs Using Axis Tables |
Sanjay N. Matange |
source |
12 |
| SGF |
2018 |
The Anatomy of Clinical Trials Data: A Beginner's Guide |
Venky Chakravarthy |
source |
14 |
| SESUG |
2017 |
Extracting Clinical Research Data from OnCore and Preparing it for Statistical Analysis in SAS |
Chang Xu, Dominic T. Moore, Allison M. Deal |
source |
13 |
| PHUSE EU |
2017 |
Career Development Through Job Rotation: Cases and Lessons Learned |
Simon Wang |
source presentation source |
2 |
| PHUSE EU |
2017 |
CDISC Transport Standards - A Glance |
Edwin Ponraj Thangarajan, Giri Balasubramanian |
source presentation source |
14 |
| PHUSE EU |
2017 |
Connected Trials |
Abi Velurethu |
source presentation source |
10 |
| PHUSE EU |
2017 |
Devices Big Data and Real World Evidence |
Mike Collinson |
source presentation source |
7 |
| PHUSE EU |
2017 |
Extension Studies - CDISC Submission Challengesand Scenarios |
Arvind Sri Krishna Mani, Deepak Anathan |
source presentation source |
3 |
| PHUSE EU |
2017 |
Git with It and Version Control! |
Carrie Dundas-Lucca, Ivan Gomez |
source |
6 |
| PHUSE EU |
2017 |
Harmonizing SDTM at the Source: Designing Collection Instruments that Support Sponsor Standards |
Sue Huxtable, Charlotte Lomberg |
source presentation source |
7 |
| PHUSE EU |
2017 |
How a Metadata Repository can Facilitate Automated Data Collection Processes |
Judith Goud |
source presentation source |
8 |
| PHUSE EU |
2017 |
How to Fit Longitudinal Data with Proc MCMC |
Maud Henion |
source presentation source |
16 |
| PHUSE EU |
2017 |
Industry Standards - What Else Exists Beside CDISC |
Joerg Dillert |
source presentation source |
8 |
| PHUSE EU |
2017 |
PHUSE is Moving Cloud Adoption Forward in Life Sciences |
Tony Hewer |
source presentation source |
6 |
| PHUSE EU |
2017 |
Putting Sisyphus Out of a Job, Making Health Care Research a Reality [presentation] |
Geoff Low |
source |
26 |
| PHUSE EU |
2017 |
The Untapped Potential of the Protocol Representation Model |
Jeffrey M. Abolafia, Frank C. DiIorio |
source presentation source |
10 |
| PHUSE EU |
2017 |
Topology-based Clinical Data Mining: Identifying Hidden Patterns in Clinical Datasets |
Sergey Glushakov |
source presentation source |
18 |
| WUSS |
2017 |
A Critique of Implementing the Submission Data Tabulation Model (SDTM) for Drugs and Medical Devices |
Carey G. Smoak |
source |
16 |
| PharmaSUG |
2017 |
A Critique of Implementing the Submission Data Tabulation Model (SDTM) for Drugs and Medical Devices |
Carey G. Smoak |
source |
16 |
| PharmaSUG |
2017 |
Ahead of the Curve: Leading with Industry Data Requirements |
Maria Dalton, Nancy Haeusser |
source |
17 |
| PharmaSUG |
2017 |
The Road Not Taken: SAS for Pharmacometrics |
Vishak Subramoney, Sree Harsha Sreerama Reddy |
source |
4 |
| PharmaSUG |
2017 |
The Untapped Potential of the Protocol Representation Model |
Frank C. DiIorio, Jeffrey M. Abolafia |
source |
10 |
| PharmaSUG |
2017 |
Topology-based Clinical Data Mining for Discovery of Hidden Patterns in Multidimensional Data |
Sergey Glushakov, Iryna Kotenko, Andrey Rekalo |
source |
20 |
| PharmaSUG |
2017 |
Update on Data Standards |
Ronald Fitzmartin |
source |
25 |
| PharmaSUG |
2017 |
Usage of Pinnacle 21 Community Toolset 2.x.x for Clinical Programmers |
Sergiy Sirichenko, Michael DiGiantomasso |
source |
23 |
| PharmaSUG |
2017 |
What Makes a Candidate Stand Out? |
Edward Slezinger |
source |
3 |
| PharmaSUG |
2017 |
Writing Efficient Queries in SAS Using PROC SQL with Teradata |
Mina Chen |
source |
5 |
| SGF |
2017 |
A Critique of Implementing the Study Data Tabulation Model (SDTM) for Drugs and Medical Devices |
Carey G. Smoak |
source |
16 |
| SGF |
2017 |
Creating Daily Rolling 6-Month Average and Cumulative Enrollment Graphs Using PROC EXPAND and INTNX |
Susan Schleede |
source |
10 |
| PHUSE EU |
2016 |
An Update from the PHUSE Working Group on Cloud Adoption in the Regulated Life Sciences Industry |
Tony Hewer |
source presentation source |
33 |
| PHUSE EU |
2016 |
Data Sharing 3 Years on - From Baby to Toddler... |
Katherine Tucker |
source presentation source |
10 |
| 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 Enjoy Working in Virtual Teams |
Petra Auclair, Antje Rossmanith |
source presentation source |
4 |
| PHUSE EU |
2016 |
Planning for Data Reporting Processes for Submission: Key Considerations |
Parag Shiralkar |
source presentation source |
2 |
| PHUSE EU |
2016 |
Protocol Representation: The Forgotten CDISC Model |
Jeffrey M. Abolafia, Frank C. DiIorio |
source presentation source |
10 |
| PHUSE EU |
2016 |
The Hardships of Finding your Way in Biometrics |
Evi Creebsburg |
source |
4 |
| PHUSE EU |
2016 |
The Tortoise Versus the Hare - And the Winner is... |
Meena Rahman, Rebecca Leivers |
source presentation source |
4 |
| PHUSE EU |
2016 |
To Create Define-XML Using - XML and the OpenCDISC Validator [presentation] |
Murali Neela |
source |
17 |
| WUSS |
2016 |
An Array of Fun: Macro Variable Arrays |
Kalina Wong, Sarah Short |
source |
5 |
| PharmaSUG |
2016 |
Are You Thinking About Becoming an Independent Contractor? Things to Consider as you Plan for Your New Entrepreneurship |
Kathy Bradrick, Dawn Edgerton |
source |
4 |
| PharmaSUG |
2016 |
Considerations and Conventions within the Therapeutic Area User Guides (TAUGs) |
Jerry Salyers, Kristin Kelly, Fred Wood |
source |
8 |
| PharmaSUG |
2016 |
Enough of Clinical ... Let's talk Pre-Clinical! |
Arun Raj Vidhyadharan, Sunil Mohan Jairath |
source |
5 |
| PharmaSUG |
2016 |
Getting Clouds Moving across the Pacific - a case study on working with a Chinese CRO on SAS Drug Development |
Chen Shi |
source |
4 |
| PharmaSUG |
2016 |
Importance of Niche Provider for Successful NDA Submission: Rescue Case Study |
Aparna Poona, Bhavin Busa, Tim Southwick |
source |
9 |
| PharmaSUG |
2016 |
Journey from the student to the full-time programmer |
Viktoriia Vasylenko |
source |
4 |
| PharmaSUG |
2016 |
Programming Support for Exposure-Response Analysis in Oncology Drug Development |
Peter Lu, Hong Yan |
source |
8 |
| PharmaSUG |
2016 |
Scrambled Data - A Population PK/PD Programming Solution |
Sharmeen Reza |
source |
8 |
| PharmaSUG |
2016 |
Strategic Considerations for CDISC Implementation |
Amber Randall, William Coar |
source |
6 |
| PharmaSUG |
2016 |
Transforming Biomarker Data into an SDTM based Dataset |
Kiran Cherukuri |
source |
7 |
| PharmaSUG |
2016 |
Usage of Pinnacle 21 Community Toolset 2.1.1 for Clinical Programmers |
Sergiy Sirichenko, Michael DiGiantomasso, Travis Collopy |
source |
19 |
| SGF |
2016 |
Careers in Biotatistics and Clinical SAS Programming: An Overview for the Uninitiated |
Justina M. Flavin |
source |
5 |
| PHUSE EU |
2015 |
A Simple and Novel Approach for the Assessment of Clinical Pharmacokinetics (Fast-track PK Analysis) [presentation] |
Ramanatha Saralaya, Nand Kishore Rawat |
source |
12 |
| PHUSE EU |
2015 |
A StAR is Born: AstraZeneca/Quintiles Partnering for Success |
Alison Dobson, Alex Brink |
source presentation source |
6 |
| PHUSE EU |
2015 |
Data Encoding:All Characters for All Countries |
Donna Dutton |
source presentation source |
12 |
| PHUSE EU |
2015 |
Data Scientist - What It Is (Not) |
Michaela Jahn |
source presentation source |
4 |
| PHUSE EU |
2015 |
Metadata Snapshots: How SAS Drug Development API Macros Can Help |
Melissa R. Martinez |
source presentation source |
12 |
| PHUSE EU |
2015 |
PHUSE De-identification Working Group: Providing identification Standards to CDISC Data Models |
Jean-Marc Ferran, Khaled El Eman |
source presentation source |
13 |
| PHUSE EU |
2015 |
Preparing and Utilising Claims and Electronic Medical Records Data for Clinical Research |
Laurie Rose |
source presentation source |
5 |
| PHUSE EU |
2015 |
Programming Strategically for PK/PD Data |
Grace Lu |
source presentation source |
8 |
| PHUSE EU |
2015 |
Similarities and Differences in Statistical Programming Among CROs and Pharmaceutical Industries |
Mark Matthews |
source presentation source |
7 |
| PHUSE EU |
2015 |
The AQSCI Method Behind CRO Evaluation and Application to Pharmaceutical Company Needs |
Roy Ward, James Gallagher |
source presentation source |
8 |
| PHUSE EU |
2015 |
The Evolution of Computing in Clinical Research: Past, Present and Future |
Mark Weadon |
source presentation source |
6 |
| PHUSE EU |
2015 |
The Vision of Clinical Data Science - Where will we be in 2025? [presentation] |
Sam Warden, Chris Price |
source |
17 |
| 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 |
| PHUSE EU |
2015 |
Using SAS Graphics to Help with Decision-making in Early Clinical Development |
Sinela Hadzovic |
source presentation source |
3 |
| PHUSE EU |
2015 |
Work Harder or Work Smarter? |
Colin Brown |
source presentation source |
4 |
| WUSS |
2015 |
No Regrets: Hiring for the Long Term in Statistical Programming |
Chris Moriak, Graham Wilson, Elizabeth Meeson |
source |
7 |
| PharmaSUG CN |
2015 |
Clinical trials optimization: Monte Carlo Simulation modeling and SAS applications |
Ye Meng |
|
5 |
| PharmaSUG CN |
2015 |
SAS End-to-End solutions in Clinical Trial |
Emma Liu |
|
17 |
| PharmaSUG |
2015 |
A New Era: Open access to clinical Trial Data - A case study |
Aruna Kumari Panchumarthi, Jacques Lanoue |
source |
6 |
| PharmaSUG |
2015 |
Advantages and Disadvantages of Two Commonly Used CRO Resourcing Models in the Pharmaceutical SAS Programming Environment |
Ying (Evelyn) Guo, Mark Matthews |
source |
7 |
| PharmaSUG |
2015 |
Automating Clinical Trial Reports with ODS ExcelXP Tagset |
John R. O'Leary |
source |
8 |
| PharmaSUG |
2015 |
CRO, TLF, SOP? OMG!: A Beginner's Guide to the Clinical Research Organization |
Mandy Bowen, Otis Evans, Stephen Terry |
source |
7 |
| PharmaSUG |
2015 |
Development of a Clinical SAS University Training Program in Eastern Europe |
Erfan Pirbhai, Sergey Glushakov |
source |
7 |
| PharmaSUG |
2015 |
Getting Rid of Bloated Data in FDA Submissions |
Ben E. Bocchicchio, Frank L. Roediger |
source |
8 |
| PharmaSUG |
2015 |
Growing Needs in Drug Industry for NONMEM Programmers Using SAS |
Sharmeen Reza |
source |
11 |
| PharmaSUG |
2015 |
No Regrets: Hiring for the Long Term in Statistical Programming |
Chris Moriak, Graham Wilson, Elizabeth Meeson |
source |
7 |
| PharmaSUG |
2015 |
PhUSE De-Identification Working Group: Providing De-Identification Standards to CDISC Data Models |
Jean-Marc Ferran, Jacques Lanoue |
source |
8 |
| PharmaSUG |
2015 |
The Disposition Table: Make it Easy |
Endri Endri, Benedikt Trenggono |
source |
10 |
| PharmaSUG |
2015 |
Toward Adoption of Agile Software Development in Clinical Trials |
Troy Martin Hughes |
source |
7 |
| PharmaSUG |
2015 |
Usage of OpenCDISC Community Toolset 2.0 for Clinical Programmers |
Sergiy Sirichenko, Michael DiGiantomasso, Travis Collopy |
source |
19 |
| PharmaSUG |
2015 |
Where are the SAS Jobs? |
Beth Ward, Chelsea Jackson |
source |
3 |
| PHUSE EU |
2014 |
A Day in the Life of a Data Sharing Specialist [presentation] |
Kelly Mewes |
source |
29 |
| PHUSE EU |
2014 |
A Vision for the Future: Core Competencies for Statisticians and Programmers [presentation] |
James R. Johnson |
source |
26 |
| PHUSE EU |
2014 |
Automated SDTM Creation and Discrepancy Detection Jobs: The Numbers Tell the Tale |
Joris De Bondt |
source presentation source |
2 |
| PHUSE EU |
2014 |
Biomarker as Essential Part of Clinical Development |
Renuka Chinthapally |
source presentation source |
7 |
| PHUSE EU |
2014 |
Change Management - An ICON Approach and Case Study |
Anagha Pradhan |
source presentation source |
4 |
| PHUSE EU |
2014 |
Managing the Change - Evolving Statistical Programmers to Clinical Data Scientists |
Sascha Ahrweiler |
source presentation source |
10 |
| PHUSE EU |
2014 |
Metadata, Study Standards, Interoperability: Key Concepts Toward Compliance to FDA Guidance |
Isabelle de Zegher |
source presentation source |
3 |
| PHUSE EU |
2014 |
Risk based monitoring using integrated clinical development platform Authors |
Sita Rama Swamy Peddiboyina, Shailesh Vijay Joshi |
source presentation source |
9 |
| PHUSE EU |
2014 |
Spotfire for Clinical and Translational Medicine |
Gerard Conway |
source |
3 |
| 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 |
Submitting Summary Level Site Data: Overview, Implementation and Case Studies |
Robert F. Woolson, Jeffrey M. Abolafia, Ben Vaughn |
source presentation source |
9 |
| 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 |
The On-Going Evolutionary Changes of our Industry [presentation] |
Christian Mueller |
source |
34 |
| PHUSE EU |
2014 |
Update on Regulatory Guidance: Data Standardisation Planning for Clinical Development Programs |
James R. Johnson |
source presentation source |
10 |
| PHUSE EU |
2014 |
Using CDISC Validation Tools in a Validated Hosted Environment |
Sandeep Juneja |
source presentation source |
5 |
| PHUSE EU |
2014 |
What Makes one Project Successful and Another Stressful? |
Colin Brown |
source presentation source |
5 |
| PharmaSUG CN |
2014 |
Design and Construct Efficacy Analysis Datasets in Later Phase Oncology Study |
Huadan Li, Changhong Shi |
|
9 |
| WUSS |
2014 |
Careers in Biostatistics and Clinical SAS Programming: An Overview for the Uninitiated |
Justina M. Flavin |
source |
5 |
| PharmaSUG |
2014 |
Automatic Access Control via SAS: More Efficient and Smart |
Yuichi Koretaka, Masakazu Fujiwara, Yuki Yoshida, Yoshitake Kitanishi |
source |
10 |
| PharmaSUG |
2014 |
Careers in Biostatistics and Clinical SAS Programming: An Overview for the Uninitiated |
Justina M. Flavin |
source |
5 |
| PharmaSUG |
2014 |
Demystify "Ten years of pharma programming experience required" - What hiring managers actually look for |
Peng Yang |
source |
3 |
| PharmaSUG |
2014 |
Distance Management: how to lead a team of SAS users who sit half a world away |
Max Cherny |
source |
4 |
| PharmaSUG |
2014 |
Evaluating the benefits of JMP for SAS programmers |
Xiaopeng Li, Chun Feng, Nancy Wang |
source |
9 |
| PharmaSUG |
2014 |
Inserting MS Word Document into RTF Output and Creating Customized Table of Contents Using SAS and VBA Macro |
Haining Li, Merit E. Cudkowicz, Hong Yu |
source |
6 |
| PharmaSUG |
2014 |
Moving to SAS Drug Development 4 |
Magnus Mengelbier |
source |
17 |
| PharmaSUG |
2014 |
Pick Me, Pick Me |
Deloris Jones, Richard Harbin, Monique Gainey |
source |
4 |
| PharmaSUG |
2014 |
Round Trip Ticket - Using the Define.xml file to Send and Receive your Study Specifications |
Julie A. Maddox |
source |
10 |
| PharmaSUG |
2014 |
Was Dorothy Right: Is There No Place Like Home? |
Kjersten Offenbecker |
source |
6 |
| SGF |
2014 |
Bayesian Framework in Early Phase Drug Development with SAS Examples |
Howard Liang |
source |
4 |
| SGF |
2014 |
Empowering Clinical Research Staff with SAS Enterprise Guide |
Christopher W. Schacherer |
source |
20 |
| WUSS |
2013 |
Building a Controlled Statistical Programming Environment |
Wayne F. Woo |
source |
10 |
| WUSS |
2013 |
The Poor Man's Program Metadata Extractor |
Joe Perry |
source |
8 |
| PHUSE EU |
2013 |
A How-To Guide for Extending Controlled Terminology Using SAS Clinical Data Integration [presentation] |
Melissa R. Martinez |
source |
71 |
| PHUSE EU |
2013 |
An Integrated Platform for Standards Management and Study Conduct - Managing Efficiently your Standards [presentation] |
Ine Felsenstein, Jasmine Kestemont |
source |
29 |
| PHUSE EU |
2013 |
Developing an Integrated Platform, Getting the Best out of Several Technologies [presentation] |
Jean-Marc Ferran, Bart Van Win |
source |
23 |
| PHUSE EU |
2013 |
EDC Integration [presentation] |
Rob Jongen |
source |
21 |
| PHUSE EU |
2013 |
Evolving Regulatory Guidance on the Submission of Standardised Data [presentation] |
James R. Johnson |
source |
25 |
| PHUSE EU |
2013 |
My Big Data Experience - Getting my Feet Wet in the PUddle and Still Treading Water 2 Years Later |
Robert Walls |
source presentation source |
10 |
| PHUSE EU |
2013 |
My First QlikView Application "CTI" [presentation] |
Anthony Caudard |
source |
12 |
| PHUSE EU |
2013 |
Posch-Bauer Seamless Test with SAS |
Antonio Nieto, Javier Gómez |
source presentation source |
4 |
| PHUSE EU |
2013 |
Round Trip Ticket - Using the Define.xml file to Send and Receive your Study Specifications |
Julie A. Maddox |
source presentation source |
10 |
| PHUSE EU |
2013 |
Spotfire for Statisticians and Statistical Programmers [presentation] |
Alistair Dootson, Mark Demesmaeker |
source |
17 |
| PHUSE EU |
2013 |
Standard Protocols Using Guided Navigation [presentation] |
Michaela Jahn |
source |
15 |
| PHUSE EU |
2013 |
Standards for the Management of Clinical Trial Data, Why are they Needed, What is Needed? |
Isabelle Abousahl |
source presentation source |
11 |
| PHUSE EU |
2013 |
Visual Approaches for Safety Analysis and Review of Clinical Trials [presentation] |
Valérie Nedbal |
source |
34 |
| MWSUG |
2013 |
An Efficient Approach to Automatically Convert Multiple Text Files (.TXT) to Rich Text Format Files (.RTF) Using SAS |
Xingxing Wu, Jyoti N. Rayamajhi |
|
6 |
| MWSUG |
2013 |
Power Trip: A Road Map of PROC POWER |
Melissa Plets, Julie Strominger |
|
4 |
| PharmaSUG |
2013 |
A GUI-Based Utility Macro for Creating a Version Controlled Project Directory Structure and Copying in Standard Tools and Template Files |
Hisham Madi, Anna Maeser, Michael Zichy |
source |
12 |
| PharmaSUG |
2013 |
Deployment of SAS Programming Contract Staff: Pathway to Sinkhole or Best Strategy for Programming Division? |
Parag Shiralkar |
source |
5 |
| PharmaSUG |
2013 |
From Standards that Cost To Standards that Save: Cost Effective Standards Implementation |
Jeffrey M. Abolafia, Frank C. DiIorio |
source |
9 |
| PharmaSUG |
2013 |
How to make SAS Drug Development more efficient |
Xiaopeng Li, Chun Feng, Peng Chai |
source |
6 |
| PharmaSUG |
2013 |
Introduction to the CDISC Standards |
Sandra Minjoe |
source |
10 |
| 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 |
Probability Based Criteria in Early Phase Drug Development |
Howard Liang |
source |
5 |
| PharmaSUG |
2013 |
SAS 9.3: Better graphs, Easier lives for SAS programmers, PK scientists and pharmacometricians |
Alice Zong |
source |
8 |
| PharmaSUG |
2013 |
Some Strategies for Validating Your Data before Submission |
Frank L. Roediger, Sandeep Juneja |
source |
8 |
| PharmaSUG |
2013 |
The Challenges and Opportunities for SAS Statistical Programmers in Two Commonly Used CRO Resourcing Models |
Mark Matthews, R. Mouly Satyavarapu |
source |
6 |
| PharmaSUG |
2013 |
Using the SAS Clinical Standards Toolkit 1.5 to Import CDISC ODM Files |
Lex Jansen |
source |
28 |
| 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 |
Introducing and Producing Thunderstorm or Rain-drop Scatter Plots Using the SAS/GRAPH Annotate Facility |
Charlie Liu |
source |
13 |
| 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 |
Statistical Graphics for Clinical Research Using ODS Graphics Designer |
Wei Cheng |
source |
12 |
| NESUG |
2012 |
Applying Business Analytics to Optimize Clinical Research Operations |
David Handelsman |
|
8 |
| PHUSE EU |
2012 |
Clinical Reference Library: Metadata and Standards Management in a Single Tool [presentation] |
Jonathan Peachey, Colin Sprink |
source |
12 |
| PHUSE EU |
2012 |
Cost Effective Standards Implementation: A New Paradigm for the Drug Development Life Cycle |
Jeff Abolafio, Frank C. DiIorio |
source presentation source |
9 |
| PHUSE EU |
2012 |
Real-World Application of the Protocol Representations Model |
Joshua Pines, Michelle Marlborough |
source presentation source |
1 |
| PHUSE EU |
2012 |
SAS Drug Development 4.1 - Clinical Programming and Workflow |
Mark Weadon, Mark Lambrecht |
source presentation source |
8 |
| PHUSE EU |
2012 |
Spotting DILI for FDA Submission |
Nicola Tambascia, Sven Greiner |
source presentation source |
7 |
| 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 |
Using Metadata to Integrate and Standardise Clinical Trial Data - the ICON Study Data Mapper |
Paul Crean, Jennie McGuirk |
source presentation source |
6 |
| PHUSE EU |
2012 |
Using Workflows to Standardize Business Processes and Best Practices in Pharmaceutical Programming |
Mark Lambrecht, Julie A. Maddox |
source presentation source |
7 |
| SESUG |
2012 |
A GUI-Based Utility Macro for Creating a Version Controlled Project Directory Structure and Copying in Standard Tools and Template Files |
Hisham Madi |
source |
12 |
| PharmaSUG CN |
2012 |
Clinical Review on iPad with DEFINE.XML |
Sy J. Truong |
|
10 |
| PharmaSUG |
2012 |
Creating Analysis Data Marts from SDTM Warehouses |
Frank L. Roediger |
source |
9 |
| PharmaSUG |
2012 |
Export SAS Data to Excel in SAS Drug Development |
Chun Feng, Xiaopeng Li |
source |
10 |
| PharmaSUG |
2012 |
Risk Evaluation and Mitigation Strategies (REMS) and How They Impact Biostatistics and Statistical Programming Groups |
Arthur Collins |
source |
4 |
| PharmaSUG |
2012 |
Statistical Graphics for Clinical Research Using ODS Graphics Designer |
Wei Cheng |
source |
23 |
| PharmaSUG |
2012 |
Using File Modification Date Comparisons to Alert Study Teams of Potential SAS Program Revisions between Shared Folders |
Stephen Hunt, Brian P. Fairfield-Carter |
source |
6 |
| SGF |
2012 |
Applying Business Analytics to Optimize Clinical Research Operations |
David Handelsman |
source |
8 |
| SGF |
2012 |
Sharing SAS programs between PC Server and SAS Drug Development |
Magnus Mengelbier |
source |
7 |
| WUSS |
2011 |
Analyze This? Supporting Clinical Decisions Graphically When Not Enough Data is Available A Study Case: Challenges in NCI CTCAE Version 4 Grading |
Sheila Dayog |
source |
4 |
| WUSS |
2011 |
Clinical Data Review on iPad with DEFINE.XML |
Sy J. Truong |
source |
10 |
| WUSS |
2011 |
Statistical Graphics for Clinical Research Using ODS Graphics Designer |
Wei Cheng |
source |
23 |
| PHUSE EU |
2011 |
A Career in the Pharmaceutical Industry |
James McDermott |
source presentation source |
10 |
| PHUSE EU |
2011 |
Analysis and Reporting Toolset (A&RT): Lessons learned on how to develop a system with an external partner |
David Smith |
source presentation source |
9 |
| PHUSE EU |
2011 |
Challengers Facing the Programmer in Observational Research |
Laurence Carpenter |
source presentation source |
4 |
| PHUSE EU |
2011 |
Ensuring Compliant and Consistent Data Mappings for SDTM-based Studies - an ICON Approach |
Jennie McGuirk, Steven Thacker |
source presentation source |
16 |
| PHUSE EU |
2011 |
How do we ensure the programmer we have today will meet the business needs of tomorrow? |
Christine Leigh, Karen Rowe |
source presentation source |
8 |
| PHUSE EU |
2011 |
Know Your Sources - Decoding Inputs/Outputs of any SAS Program |
Sandeep Juneja |
source presentation source |
5 |
| PHUSE EU |
2011 |
Managing Telecommuters and Global Virtual Teams |
Syamala Schoemperlen |
source presentation source |
6 |
| PHUSE EU |
2011 |
New Starter Models for Pharmaceutical companies and Clinical Research Organisations (CROs) |
Lovemore Gakava |
source presentation source |
4 |
| PHUSE EU |
2011 |
SAS Drug Development as a platform governing data standards specification and clinical data exchange between pharmaceutical organizations |
Tina Apers |
source presentation source |
56 |
| PHUSE EU |
2011 |
Sharing SAS programs between PC Server and SAS Drug Development |
Magnus Mengelbier |
source presentation source |
7 |
| PHUSE EU |
2011 |
State of the union: what does the future hold for statistical programming in Europe [presentation] |
Leo Valmas |
source |
28 |
| PHUSE EU |
2011 |
Using the SAS Clinical Standards Toolkit to work with the CDISC ODM model |
Lex Jansen |
source presentation source |
20 |
| PHUSE EU |
2011 |
Writing standard programs your people will use and love! |
Jean-Marc Ferran |
source presentation source |
8 |
| MWSUG |
2011 |
Optimizing Clinical Research Operations with Business Analytics |
David Handelsman |
|
6 |
| MWSUG |
2011 |
Tracking Metadata within SAS Drug Development Using SDDPARMS |
Bradford J. Danner, Matthew J. Wiedel, Katrina E. Canonizado |
|
7 |
| PharmaSUG |
2011 |
A Non-Invasive Macro to Track Submission Metadata in SAS Drug Development |
Katrina E. Canonizado, Bradford J. Danner, Matthew J. Wiedel |
source |
8 |
| PharmaSUG |
2011 |
Epidemiology in Drug Development |
Catherine Sigler, Annette Stemhagen |
source |
3 |
| PharmaSUG |
2011 |
SAS Drug Development Program Portability |
Ben E. Bocchicchio, Nancy Cole |
source |
9 |
| PharmaSUG |
2011 |
Similarities and Differences in SAS Programming Among CRO and Pharmaceutical Industries |
Sandra Minjoe, Mark Matthews |
source |
6 |
| PharmaSUG |
2011 |
Tracking Metadata within SAS Drug Development Using SDDPARMS |
Bradford J. Danner, Matthew J. Wiedel, Katrina E. Canonizado |
source |
7 |
| PharmaSUG |
2011 |
Using SAS for Modeling and Simulation in Drug Development - A Review and Assessment of Some Available Tools |
Melvin S. Munsaka, Michael Carniello |
source |
10 |
| SGF |
2011 |
A Non-Invasive Macro to Track Submission Metadata in SAS Drug Development |
Katrina E. Canonizado, Bradford J. Danner, Matthew J. Wiedel |
source |
8 |
| SGF |
2011 |
Achieving Efficiencies Using SAS Drug Development |
Aik Hoe Seah |
source |
12 |
| SGF |
2011 |
Optimizing Clinical Research Operations with Business Analytics |
David Handelsman |
source |
6 |
| SGF |
2011 |
State of the Union: The Crossroads of CDISC Standards and SAS Supporting Role |
Michael J. Molter, Chris Decker |
source |
14 |
| NESUG |
2010 |
A Few Quick and Efficient Ways to Compare Data |
Aileen D. Bennett |
|
6 |
| NESUG |
2010 |
The Nitty-Gritty of FDA Electronic Submission: A Programmer's Perspective |
Sandeep N. Beniwal |
|
9 |
| NESUG |
2010 |
The Past, Present, and Future of Clinical Data Standards |
Chris Decker |
|
10 |
| NESUG |
2010 |
The SAS Programming Experience in the SAS Drug Development (SAS DD) Environment - Comparing with the Regular SAS Programming Environment |
Amos Shu |
|
3 |
| WUSS |
2010 |
Essential Project Management Reports in Clinical Development |
Nalin Tikoo |
source |
6 |
| WUSS |
2010 |
Patient Profile Reports on iPhone and iPad |
Sy J. Truong |
source |
7 |
| PHUSE EU |
2010 |
An Open Source Reporting System for Life Sciences [presentation] |
Magnus Mengelbier |
source |
32 |
| PHUSE EU |
2010 |
Assessing Applications Training |
Edel Hogan |
source presentation source |
5 |
| PHUSE EU |
2010 |
Challenges of Clinical projects shared between Pharma Companies [presentation] |
Oliver LeConte |
source |
27 |
| PHUSE EU |
2010 |
Defining "Compliance" for Analysis Data |
Chris Decker, Randall Austin |
source presentation source |
7 |
| PHUSE EU |
2010 |
EG as an IDE, how PC is that? [presentation] |
John Moone |
source |
28 |
| PHUSE EU |
2010 |
From Data Capture to Decision Making Innovation through Standardization |
Michaela Jahn, Stephan Laage-Witt |
source |
5 |
| PHUSE EU |
2010 |
Interactive Clinical Data Review for Safety Assesment and Trial Operations Management |
Michael O'Connell |
source presentation source |
13 |
| PHUSE EU |
2010 |
Lean Six Sigma:Measure and Improve [poster] |
Jinesh Patel |
source |
1 |
| PHUSE EU |
2010 |
Modeling and Simulation: challenges for the clinical programmer and for the group leader [presentation] |
Vincent Buchheit |
source |
18 |
| PHUSE EU |
2010 |
New CDISC migration strategies and tools: determining the best approach and employing automated data mapping [presentation] |
Michael Weitz, Lauren Spiess |
source |
29 |
| PHUSE EU |
2010 |
Qualities of a Project Manager |
Jon-Paul Mewes |
source presentation source |
6 |
| PHUSE EU |
2010 |
Risk Radar for the Outsourcing of Clinical Trials: The Best Guide for Success |
Randy Ramin-Wright, Raffael Jovine |
source presentation source |
12 |
| PHUSE EU |
2010 |
SAS Drug Development Program Portability |
Ben E. Bocchicchio, James McDermott |
source presentation source |
9 |
| PHUSE EU |
2010 |
Statistical Graphics for Review and Reporting in Clinical Development |
Kerstin Pietzko, Michael O'Connell |
source poster source |
12 |
| PHUSE EU |
2010 |
The Challenges of Implementing New Technology on the Business Process |
Chris Decker |
source presentation source |
11 |
| PHUSE EU |
2010 |
The Innovative Medicines Initiative Knowledge Management [presentation] |
Ann Marie Martin |
source |
50 |
| PHUSE EU |
2010 |
Using web service technologies for incremental, real-time transfers |
Andrew Newbigging |
source |
11 |
| PharmaSUG |
2010 |
Analytics in the Converging Health and Life Sciences Industries: The Catalyst for the Next Generation of Healthcare |
Matt Gross |
|
15 |
| PharmaSUG |
2010 |
Capturing Tabular Data from Graphical Output Part 2: Web and Windows-Based Tools |
Brian P. Fairfield-Carter, Stephen Hunt |
|
11 |
| PharmaSUG |
2010 |
Clinical Programming For Novice |
Ramesh Ayyappath |
|
5 |
| PharmaSUG |
2010 |
SDD Unleashed - Extending the Capabilities of SAS Drug Development |
Stephen Baker |
|
10 |
| SGF |
2010 |
Analytics in the Converging Health and Life Sciences Industries: The Catalyst for the Next Generation of Healthcare |
Matt Gross |
source |
15 |
| SGF |
2010 |
Clinical Trials Simulation: A Publicly Available, Grid-Enabled, GUI-Driven SAS System |
Peter H. Westfall, Alex Dmitrienko, Cynthia DeSouza, Alin Tomoiaga |
source |
13 |
| SGF |
2010 |
Reverse-Engineer a Reference Curve: Capturing Tabular Data from Graphical Output |
Brian P. Fairfield-Carter |
source |
6 |
| SGF |
2010 |
The Past, Present, and Future of Clinical Data Standards |
Chris Decker |
source |
10 |
| SESUG |
2009 |
Importing Complicated Excel Files into SAS Drug Development (SDD) |
Heather L. Murphy, Gregory C. Steffens |
source |
11 |
| PHUSE EU |
2009 |
A Framework for Acheiving an Industry-Driven, Open-Source Clinical Reporting System |
Dante Di Tommaso, Ann Marie Martin |
source |
5 |
| PHUSE EU |
2009 |
Acceleration through Collaboration |
Carrie Eason |
source presentation source |
7 |
| PHUSE EU |
2009 |
An Application of SAS in Model Based Drug Development |
Imelda Parker, Michael O'Kelly |
source |
4 |
| PHUSE EU |
2009 |
Automation using SAS & C#.NET for CROs and Pharmaceuticals |
Giri Balasubramanina, Gopinath Viswanathan |
source presentation source |
13 |
| PHUSE EU |
2009 |
Challenges in running a virtual department through outsourcing |
Silvana Cappi |
source |
7 |
| PHUSE EU |
2009 |
Kendle Implementation of CDASH [presentation] |
Elke Sennewald, Gill Lawrence |
source |
32 |
| PHUSE EU |
2009 |
Lean/Six Sigma..the 5 why's [presentation] |
Michael Whitworth |
source |
32 |
| PHUSE EU |
2009 |
Medical Data Review in Exploratory Drug Development |
Michaela Jahn, Joshua Haznedar |
source presentation source |
21 |
| PHUSE EU |
2009 |
Medical Research: What should Programmers prepare for? |
Emilie Brennion |
source |
12 |
| PHUSE EU |
2009 |
ModSpace: Promoting Modeling Dissemination and Reuse |
Jonathan Chard, Henning Schmidt |
source presentation source |
9 |
| PHUSE EU |
2009 |
The Pharmaceutical Industry is under pressure to evolve for many reasons. How does this impact on the role of the Statistician and Statistical Programmers? |
Gail Kniveton |
source |
15 |
| NESUG |
2009 |
Sol LeWitt and the CDISC Initiative: A Comparative Essay |
Karin LaPann |
|
10 |
| NESUG |
2009 |
Supporting CDISC Standards in Base SAS Using the SAS Clinical Standards Toolkit |
Peter Villiers |
|
13 |
| WUSS |
2009 |
BRIDGing CDASH to SAS: How Harmonizing Clinical Trial and Healthcare Standards May Impact SAS Users |
Clinton Brownley |
source |
6 |
| PharmaSUG |
2009 |
A Framework For Achieving An Industry-Driven, Open-Source Clinical Reporting System |
Dante Di Tommaso, Ann Marie Martin, Paul OldenKamp, Paul D. Hamilton |
|
6 |
| PharmaSUG |
2009 |
Biostatistics and Data Management - A match made in ... Tasmania? |
Elaine Dempsey |
|
2 |
| PharmaSUG |
2009 |
Implementation Plan for CDISC SDTM & ADaM Standards at MedImmune |
Alan Meier |
|
11 |
| PharmaSUG |
2009 |
Medical Coding System for Clinical Trials - 21 CFR Part 11 Compliant SAS/AF Application |
Annie S. Guo |
|
12 |
| PharmaSUG |
2009 |
Supporting CDISC Standards in Base SAS Using the SAS Clinical Standards Toolkit |
Supporting CDISC Standards |
|
13 |
| SGF |
2009 |
Clinical SAS Programming: Analysis and Mitigation of Risk |
Parag Shiralkar |
source |
6 |
| SGF |
2009 |
Retirement of Legacy Clinical Systems and Moving to SAS Drug Development, Much More than Just Moving the Data |
Fred R. Forst, John Standefer |
source |
17 |
| SGF |
2009 |
Supporting CDISC Standards in Base SAS Using the SAS Clinical Standards Toolkit |
Peter Villiers |
source |
13 |
| SGF |
2009 |
Talking Past Each Other? How to Communicate with Medical Writers When Preparing Clinical Research Manuscripts for Journal Submission |
Scott C. Thompson, Stephanie R. Thompson |
source |
7 |
| SESUG |
2008 |
Building a Clinical SAS Programming Group from the Ground Up |
Devin J. Hunt |
source |
4 |
| PHUSE EU |
2008 |
Biostatistics and Data Management - A match made in ... Tasmania? |
Elaine Dempsey |
source |
2 |
| PHUSE EU |
2008 |
CDISC Implementation Strategies: Exploit your data assets while still giving the FDA what they want |
David Smith |
source |
9 |
| PHUSE EU |
2008 |
Decimaker: A statistical software using R, Microsoft .NET, R (D)COM Server and graphical libraries |
Julien Vanwinsberghe, Francois Vandenhende |
source |
10 |
| PHUSE EU |
2008 |
Developing a clinical reporting system collaboratively under an Open Source software license. |
Ann Marie Martin |
source |
7 |
| PHUSE EU |
2008 |
Using SAS 9 in Clinical Research |
Gregory S. Barnes Nelson |
source |
11 |
| NESUG |
2008 |
Talking Past Each Other? How to Communicate with Medical Writers When Preparing Clinical Research Manuscripts for Journal Submission |
Scott C. Thompson, Stephanie R. Thompson |
|
7 |
| PharmaSUG |
2008 |
Case Report Form Auto-Annotation in PDF Files with a Metadata Database and SAS ODS XML Tagsets in a Data Management Unit |
David M. Escobar, Ann Fowler, Barbara Mathewson |
|
5 |
| PharmaSUG |
2008 |
SAS, CDISC and Clinical Data Integration |
Peter Villiers |
|
27 |
| PharmaSUG |
2008 |
The CDISC Study Data Tabulation Model (SDTM): History, Perspective, and Basics |
Fred Wood |
|
8 |
| PharmaSUG |
2008 |
Validating CDISC SDTM-Compliant Submission-Ready Clinical Datasets with an In-House SAS Macro-Based Solution |
Bhavin Busa, Sheila Vince, Jameelah Aziz |
|
12 |
| SGF |
2008 |
The Evolution of SAS in Life Sciences Research and Development |
David Handelsman |
source |
10 |
| SGF |
2008 |
Using Regression Diagnostics and Clustering Criteria to Uncover ID Errors |
David J. Pasta, Eric P. Elkin, Rory Michaelis |
source |
10 |
| SGF |
2008 |
Using SAS as an Integrated Component of the Clinical Research Information System |
Christopher W. Schacherer, Jeffrey E. Gershenwald |
source |
11 |
| WUSS |
2007 |
Using Regression Diagnostics and Clustering Criteria to Uncover ID Errors |
David J. Pasta, Eric P. Elkin, Rory Michaelis |
source |
10 |
| PHUSE EU |
2007 |
A dedicated programming group in a pharma M&S organization |
Vincent Buchheit |
source |
8 |
| PHUSE EU |
2007 |
Bayesian Modelling with SPLUS and the S+flex Bayes library |
Andrew Jack, Dawn Woodard |
source |
11 |
| PHUSE EU |
2007 |
Clinical Research Information Management... |
David Handelsman |
source |
8 |
| PHUSE EU |
2007 |
Data mining in the clinical research environment |
David Smith |
source |
7 |
| PHUSE EU |
2007 |
Designing a Global SAS9 Architecture for analysis and reporting |
Andrew York, Gregory S. Barnes Nelson |
source |
26 |
| PHUSE EU |
2007 |
Integrating data transformations using DI Studio and SAS DD |
Alistair Dootson |
source |
15 |
| PHUSE EU |
2007 |
LSLV to Final CSR Tables in 24 hours - Dream or Reality? |
Stinder Fowler |
source |
10 |
| PHUSE EU |
2007 |
The perfect reporting system - theoretically |
Laura Phelan, Magnus Mengelbier |
source |
7 |
| PHUSE EU |
2007 |
WEB-TRIAGE: Application for patient registration in ph I studies |
Angelo Tinazzi, Lucio Ferraresi |
source |
10 |
| PharmaSUG |
2007 |
Designing and Building an Administrative Model for SAS Drug Development |
Margaret M. Coughlin |
|
6 |
| PharmaSUG |
2007 |
PROC REPORT or DATA _NULL_: Which to Use and How to Make it Easier |
David W. Carr |
|
11 |
| PharmaSUG |
2007 |
The Use of CDISC Standards in SAS from Data Capture to Reporting |
Andrew T. Fagan |
|
21 |
| PharmaSUG |
2007 |
Using SAS 9 in Clinical Research |
Gregory S. Barnes Nelson |
|
11 |
| SGF |
2007 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
20 |
| PHUSE EU |
2006 |
Contours of a Drug Development Data Warehouse |
Paul Vervuren |
source |
8 |
| PHUSE EU |
2006 |
Integrating Specialized Graphics and Analysis into Production Systems |
Joel M. Hoffman, Michael O'Connell |
source |
18 |
| PHUSE EU |
2006 |
Interfering with Data Management by the Statistician |
Jim Groeneveld |
source |
6 |
| PHUSE EU |
2006 |
Statistical Graphics and Reporting in Drug Development |
Michael O'Connell, Sven Knudsen |
source |
13 |
| PHUSE EU |
2006 |
Statistics and Pharmacokinetics in Clinical Pharmacology Studies |
Amy Newlands |
source |
8 |
| PHUSE EU |
2006 |
The Hazards of Modelling Proportional Hazards in SAS |
Erika Daly, Farzana Sufi |
source |
4 |
| PHUSE EU |
2006 |
The Power of RETAIN Statement in Clinical Trial Programming by Examples |
Baoxian Lan |
source |
5 |
| PHUSE EU |
2006 |
The Use of CDISC Standards in SAS from Data Capture to Reporting |
Andrew T. Fagan |
source |
21 |
| PHUSE EU |
2006 |
Titles and Footnotes Macro |
Jennie McGuirk, John Woods |
source |
8 |
| NESUG |
2006 |
Designing and Building an Administrative Model for the SAS Drug Development Tool |
Meg Coughlin |
|
6 |
| PharmaSUG |
2006 |
De-Identification of Clinical Trials Data Demystified |
Jack Shostak |
|
12 |
| PharmaSUG |
2006 |
SAS Drug Development: Bringing Innovation to Life Sciences |
David Handelsman |
|
12 |
| SUGI |
2006 |
Empirical Power Estimation for Phase I Dose-Proportionality Studies Based on Power-Law Model Using Confidence Interval Criteria |
Jihao Zhou, Jane Li, Bruce Coate, Melissa Chen |
source |
11 |
| SUGI |
2006 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
10 |
| PHUSE EU |
2005 |
An Introduction to CDISC - CDISC Collaborations and Standards in Progress |
Becky Kush |
source |
46 |
| PHUSE EU |
2005 |
An Introduction to CDISC - What is CDISC and Why Standards? |
Laurie Rose, Becky Kush |
source |
41 |
| PHUSE EU |
2005 |
Best Practices for Managing Clinical Research Information |
David Handelsman |
source |
16 |
| PHUSE EU |
2005 |
CDISC Activities in Europe |
Udo Siegmann |
source |
15 |
| PHUSE EU |
2005 |
How can you make the entire clinical trial process easy and fun for the users and also reduce your costs? |
Carl-Olow Magnusson, Ann-Sofie Bergstrom |
source |
1 |
| PHUSE EU |
2005 |
Technical application of SAS ETL Studio in the clinical reporting process |
David Smith |
source |
8 |
| PHUSE EU |
2005 |
The Future of CDISC |
Becky Kush |
source |
50 |
| PHUSE EU |
2005 |
Visions of a Drug Development Data Warehouse |
Paul Vervuren |
source |
7 |
| PHUSE EU |
2005 |
What SAS is doing for the FDA's Critical Path Initiative? |
Andrew T. Fagan |
source |
20 |
| WUSS |
2005 |
A Regulatory Compliant Process for Developing SAS-Based Reports |
Chuck Reap |
source |
15 |
| WUSS |
2005 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
20 |
| PharmaSUG |
2005 |
Get Experience with New SAS Drug Development Software |
Dana Rafiee |
|
5 |
| PharmaSUG |
2005 |
Implementation of the CDISC SDTM at the Duke Clinical Research Institute |
Jack Shostak |
|
12 |
| PharmaSUG |
2005 |
Proc Telecommute |
Susan Bairnsfather, Angela S. Ringelberg |
|
5 |
| SUGI |
2005 |
A Regulatory Compliant Process for Developing SAS-Based Reports |
Chuck Reap |
source |
15 |
| NESUG |
2004 |
Using SAS Drug Development as a Report Management Application |
Barry R. Cohen |
|
8 |
| NESUG |
2004 |
Web Services Integration and the SAS Drug Development Platform |
Christopher R. Olinger, John Leveille |
|
14 |
| SCSUG |
2004 |
SAS Enterprise Guide 3.0 for SAS Programmers - A Roadmap to Combining the Best of Both Worlds |
Stephen McDaniel, Annette McDaniel, Gregory A. Smith |
|
3 |
| MWSUG |
2004 |
SAS Enterprise Guide 3.0 for SAS Programmers - A Roadmap to Combining the Best of Both Worlds |
Stephen McDaniel, Annette McDaniel, Gregory A. Smith |
|
3 |
| PharmaSUG |
2004 |
Using SAS Drug Development as a Report Management Application |
Barry R. Cohen |
|
8 |
| PharmaSUG |
2004 |
Web Services Integration and the SAS Drug Development Platform |
Christopher R. Olinger |
|
14 |
| SUGI |
2004 |
Data Management in Analyzing Clinic Trial Data - Metadata Application |
Julia Z. Zhang, David C. Chen |
source |
6 |
| SUGI |
2004 |
SAS Enterprise Guide 3.0 for SAS Programmers - A Roadmap to Combining the Best of Both Worlds |
Stephen McDaniel |
source |
4 |
| NESUG |
2003 |
Audit Trails of SAS Data Set Changes -- An Overview |
Maria Y. Reiss |
|
9 |
| NESUG |
2003 |
Using SAS Drug Development as a Report Management Application |
Barry R. Cohen |
|
8 |
| SEUGI |
2003 |
An Introduction to Genomics and SAS Scientific Discovery Solutions [presentation] |
Karen Miller |
source |
34 |
| SEUGI |
2003 |
OPIS - A Web Enabled Clinical Data Warehouse Prototype [presentation] |
Claus Puhr |
source |
24 |
| SEUGI |
2003 |
The Value of Text Mining in Pharmaceutical Laboratories [presentation] |
Elisabeth Maurice |
source |
29 |
| PharmaSUG |
2003 |
Progress Toward Standardization of Submissions with the Electronic Common Technical Document and the Evolving Standardization of Clinical Data |
Susan Bairnsfather |
|
8 |
| PharmaSUG |
2003 |
Standardizing Data Processing and e-Publishing for the Pharmaceutical Industry |
Shawn Wang |
|
6 |
| PharmaSUG |
2003 |
Using SAS Drug Development as a Report Management Application |
Barry R. Cohen |
|
8 |
| SUGI |
2003 |
Metadata Application on Clinical Trial Data in Drug Development |
Julia Z. Zhang, David C. Chen, Tor-lai Wong |
source |
3 |
| NESUG |
2002 |
Using SAS Indexes with Large Databases |
Alexander Vinokurov, Larry Helbers |
|
4 |
| SEUGI |
2002 |
A data warehouse and data exploitation solution in clinical trials [presentation] |
F. Patarnello, V. Frizzo |
source |
24 |
| SEUGI |
2002 |
SAS and the CRO [presentation] |
Peter Stagg |
source |
14 |
| SEUGI |
2002 |
SAS Drug Development: Intelligent Research Management [presentation] |
Andrew T. Fagan |
source |
18 |
| PharmaSUG |
2002 |
Implementing a Standardized Data Model - A Real Life Experience |
Curtis Wolf, Paul M. Gilbert |
|
4 |
| PharmaSUG |
2002 |
IND Annual Reporting at a Glance |
Kristi Wiser |
|
6 |
| SUGI |
2002 |
Unit-of-Analysis Programming |
Vanessa C. Hayden |
source |
6 |
| NESUG |
2001 |
SynCoder: A SAS/AF Application for Implementing MedDRA Coding in Clinical Trials |
Deborah A. Testa, Russell Holmes, Daphne Ewing |
|
3 |
| SEUGI |
2001 |
Web and Data Warehouse technology combined in a pharmaceutical decision support system [presentation] |
Christine Vander Vorst |
source |
29 |
| PharmaSUG |
2001 |
FDA Reviewers as Ultimate End Users: Using the SAS System to Construct e-Submissions that Actually Facilitate the NDA / BLA Review Process |
Rich Vachal |
|
6 |
| PharmaSUG |
2001 |
SynCoder: A SAS/AF Application for Implementing MedDRA Coding in Clinical Trials |
Deborah A. Testa, Russell Holmes, Daphne Ewing |
|
4 |
| PharmaSUG |
2001 |
Unit-of-Analysis Programming |
Vanessa C. Hayden, Fidelity Investments |
|
6 |
| SUGI |
2001 |
Integrating SAS in Corporate IT |
John M. LaBore, Thomas H. Burger |
source |
6 |
| SESUG |
2000 |
Integrating SAS in Corporate IT |
John M. LaBore |
source |
6 |
| SESUG |
2000 |
Positioning SAS Software for Corporate Effectiveness |
John M. LaBore |
source |
6 |
| NESUG |
2000 |
SynCoder: A SAS/AF Application for Implementing MedDRA Coding in Clinical Trials |
Deborah A. Testa, Russell Holmes, Daphne Ewing |
|
3 |
| MWSUG |
2000 |
Positioning SAS for Corporate Effectiveness |
John M. LaBore, Thomas H. Burger |
|
6 |
| SEUGI |
2000 |
Clinical Data Warehousing Functionality [presentation] |
Michael Roberson |
source |
39 |
| SEUGI |
2000 |
Genetic Data Analysis with Enterprise Mineer [presentation] |
John C. Brocklebank, Wayne Thompson |
source |
24 |
| SEUGI |
2000 |
Intergrating SAS in Corporate IT |
John M. LaBore, Thomas H. Burger |
source |
6 |
| SEUGI |
2000 |
Positioning SAS Software for Corporate Effectiveness |
John M. LaBore, Thomas H. Burger |
source |
6 |
| SEUGI |
2000 |
Successful and Faster Drug Development through Data Mining [presentation] |
Dirk Belmans |
source |
15 |
| PharmaSUG |
2000 |
Clinical Data Warehouse Functionality |
Peter Villiers |
|
5 |
| PharmaSUG |
2000 |
Constructing a Data Warehouse for Pharmacokinetic Data |
Stanley P. Koprowski Jr., Jeffrey S. Barrett, Dwight J. Fowler |
|
9 |
| PharmaSUG |
2000 |
Integrating SAS in Corporate IT |
John M. LaBore |
|
6 |
| PharmaSUG |
2000 |
SynCoder: A SAS/AF Application for Implementing MedDRA Coding in Clinical Trials |
Deborah A. Testa, Russell Holmes |
|
2 |
| SUGI |
2000 |
Constructing a Data Warehouse for Pharmacokinetic Data |
Stanley P. Koprowski Jr., Dwight J. Fowler, Jeffrey S. Barrett |
source |
7 |
| SUGI |
2000 |
Positioning SAS Software for Corporate Effectiveness |
John M. LaBore, Thomas H. Burger |
source |
6 |
| SUGI |
2000 |
SynCoder: A SAS/AF V7/8 Application for Implementing MedDRA Coding in Clinical Trials |
Deborah A. Testa, Russell Holmes |
source |
2 |
| MWSUG |
1999 |
Positioning SAS for Corporate Effectiveness |
John M. LaBore, Thomas H. Burger |
|
6 |
| SEUGI |
1999 |
Overview of pharma technology process model components [presentation] |
Patrick O'Donoghue, Tim Thompson |
source |
40 |
| SESUG |
1998 |
Building Clinical Information Spaces on the World Wide Web |
Paul C. Wehr |
|
4 |
| SEUGI |
1998 |
Electronic documentation of statistical workflow in clinical research using a SAS application [presentation] |
Merras Teo |
source |
9 |
| PharmaSUG |
1998 |
Building Clinical Information Spaces on the World Wide Web |
Paul C. Wehr |
|
4 |
| SUGI |
1998 |
Building Clinical Information Spaces on the World Wide Web |
Paul C. Wehr |
source |
4 |
| SUGI |
1998 |
Using the Data Warehouse Model to Streamline and Accelerate New Drug and Medical Device Development |
Martin J. Rosenberg |
source |
5 |
| WUSS |
1997 |
Using the Data Warehouse Model is Streamline and Accelerate New Drug and Medical Device Development |
Martin J. Rosenberg |
source |
5 |
| SEUGI |
1997 |
Understanding and enforcing standards to promote efficiency |
Meimei Ma, Sandra D. Schlotzhauer |
source |
9 |
| PharmaSUG |
1997 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
|
9 |
| PharmaSUG |
1997 |
How To Create a Simple SAS/AF Interface For Existing Batch Applications |
Bryan K. Beverly |
|
4 |
| SUGI |
1997 |
Issues Concerning Consultant-Client Interactions: Things I learned at the Information Center |
Ioannis C. Dimakos |
source |
3 |
| SUGI |
1997 |
Manipulating Clinical Research Data with the TRANSPOSE Procedure in SAS/ASSIST Software |
Stanley Cron |
source |
2 |
| SESUG |
1996 |
Mission Impossible: The Trials of SAS Support in a Health Care Research Group |
Miriam W. Rosenblatt |
|
6 |
| WUSS |
1996 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
9 |
| WUSS |
1996 |
Design, Analysis and Review Tools for Clinical Drug Development Using SAS Object-Oriented Products |
David H. Christiansen |
source |
8 |
| PNWSUG |
1996 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
|
9 |
| SEUGI |
1996 |
Re-engineering the CAPLA: integrating electronic submissions into the drug development |
Guy Pawson |
source |
34 |
| SUGI |
1996 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
9 |
| SUGI |
1996 |
Mission Impossible: The Trials of SAS Support in a Health Care Research Group |
Miriam W. Rosenblatt |
source |
6 |
| SUGI |
1996 |
Tips and Techniques for Data Fixes in a Repository Data Warehouse |
Ty Lee |
source |
6 |
| SUGI |
1996 |
Using SAS Software to Perform Meta-Analytic Integrations |
Stanley G. Cran |
source |
5 |
| NESUG |
1995 |
The Choice of SAS Software as the Application Development Tool for Your CANDA |
Barry R. Cohen |
|
9 |
| WUSS |
1995 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
9 |
| WUSS |
1995 |
Tips and Techniques for Data Fixes in a Repository Data Warehouse |
Ty Lee |
source |
6 |
| SEUGI |
1995 |
Data Warehousing and CANDA Concepts for Biometry |
Ulrich Burger |
source |
7 |
| SUGI |
1995 |
Click, Click, Click: Redesigning a Business Process Using FRAME Objects in SAS/ AF Software |
Deborah A. Testa, Karen M. Michiels, Thomas K. Lim |
source |
4 |
| SUGI |
1995 |
ClinAccess: A Client/Server Approach to Clinical Trials Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1995 |
The Intricate Organization and Management of Clinical Research Laboratory Samples Using SAS/AF |
Jacqueline A. Wendel, Daniel Nosek |
source |
6 |
| NESUG |
1994 |
Computer-Aided Software Engineering and SAS in Clinical Trials Reporting |
W. Stetson Line |
|
6 |
| NESUG |
1994 |
Managing Clincial Lab Data with SAS/aF - an Outline Demonstration |
Eric C. Brinsfield, Brad Klenz |
|
4 |
| SEUGI |
1994 |
A Unique Application Generator for the Management and Control of Clinical Trials Data |
Chaim Singal |
source |
9 |
| SEUGI |
1994 |
Aiming at More Efficient System Support for the R&D Process |
Mark Crawford, Winfried Koch |
source |
8 |
| SEUGI |
1994 |
Budgeting Clinical Trials Using the SAS System Development Environment |
Patrick Genyn |
source |
10 |
| SUGI |
1994 |
A Case Study in the Use of SAS/PH-Clinical for an Electronic Regulatory Submission of a Megatrial |
Kathy R. Boussina, Dorene M. Emmrich, Guy Pawson, Alan Hopkins |
source |
11 |
| SUGI |
1994 |
Developing Integrated Clinical Trials Systems: The ClinAccess Experience |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1994 |
Managing Clinical Lab Data with SAS/ AF Software - an Online Demonstration |
Eric C. Brinsfield, Bradley W. Klenz |
source |
4 |
| WUSS |
1993 |
An Integrated Clinical Trials System Utilizing Client Server and Graphical User Interface Technology |
Martin J. Rosenberg |
source |
7 |
| SEUGI |
1993 |
A Generic Data Listing System Developed for Pharmaceutical Reporting |
Peter Fursdon |
source |
11 |
| SEUGI |
1993 |
Integrated Safety Reporting |
Anemone Thalman |
source |
10 |
| SUGI |
1993 |
An Integrated Clinical Trials System Utilizing Client Server and Graphical User Interface Technology |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1993 |
Re-engineering the Drug Development Process with 'the SAS Information Delivery System |
Bryan K. Beverly |
source |
5 |
| SUGI |
1993 |
SAS/PH-Clinical Software: CANDA Implementation Strategies |
Juliana M. Ma, Sandra D. Schlotzhauer |
source |
8 |
| SEUGI |
1992 |
Improve Speed and Quality in Clinical Trial Analysis Using SAS Macros |
Mark de Somer |
source |
12 |
| SEUGI |
1991 |
STARS: Statistical and Reporting System for Clinical Research Data |
A. Longoni, G. Marcon, M. Sanarico, R. Ferrara |
source |
7 |
| SUGI |
1991 |
A Clinical Data Review System to Facilitate Pharmaceutical Research |
Martin J. Rosenberg |
source |
9 |
| SUGI |
1991 |
A Data Entry Application in Clinical Research Using Quality Assurance Tools |
Miriam W. Rosenblatt |
source |
6 |
| SUGI |
1991 |
Using SAS Macro Language for Efficiency and Flexibility in Displaying Data for Clinical Trials |
Anne Brockley |
source |
6 |
| SUGI |
1990 |
Shortcuts to Customize Clinical Trial Reports |
Aileen L. Tsien |
source |
6 |
| SUGI |
1989 |
Determining the Roles of the SAS System and a Database Management System in Clinical Research |
Mark J. Holdbrook |
source |
5 |
| SUGI |
1988 |
An Integrated Clinical Data Management System at Allergan, Inc. |
Jeffrey S. Kouba |
source |
4 |
| SUGI |
1984 |
CPDMS-A Clinical Pharmacology Data Management System |
Rita Brilla, Lorna Lyall, Lois Preis |
source |
7 |
| SUGI |
1982 |
SAS as a Convenient &Efficient Tool in the Management of Resources within an International Clinical Pharmacology Department |
A. E. Edelmann, K.H. Jones, M.A.P. Meisinger |
source |
4 |
| SUGI |
1978 |
SAS as a Management System for Routine Echocardiograms |
Glenn A. Augustine, Emilio R. Giuliani, Kenneth P. Offord, Vernon P. Weber |
source |
2 |