| 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-Assisted Automated Development of the P21C Validator Report Comparison Tool |
Huanhuan Sun |
source |
6 |
| PharmaSUG CN |
2026 |
AI-Native Real-Time SDTM Mapping and Exploration Agent |
Hao Chen,
Xuejie Zhou,
Haomin Yang,
Qianwang Wang |
source |
13 |
| PharmaSUG CN |
2026 |
Applying AI LLM to Reduce Manual Translation Workload in E-Data Package Submission |
Megan Chen |
source |
7 |
| PharmaSUG CN |
2026 |
Automating SDTM Programming with a Human-in-the-Loop Multi-Agent System |
Wenqiang Chu |
source |
7 |
| PharmaSUG CN |
2026 |
Clarity: An AI-Powered Shiny Application for Natural Language-Driven Clinical Data Analysis |
Jinzhi Zhou,
Yusi Liu,
Dan Su,
Jie Liu |
source |
14 |
| PharmaSUG CN |
2026 |
Efficient Strategies for Handling Data Issues in Clinical Trial Submissions |
Kate Sun |
source |
7 |
| PharmaSUG CN |
2026 |
Interactive Clinical Plot Gallery with Cross-Plot Subject Linking in R Shiny |
You (Lea) Lyu |
source |
10 |
| PharmaSUG CN |
2026 |
Trace Data Framework for Metadata Network, Impact Analysis, and Visualization Across RAW, SDTM, ADaM, and TFL |
Nana Yang,
Tingting Zeng,
Yaohui Zhu,
Yanan Sui,
Mingliang Fan |
source |
7 |
| PharmaSUG |
2026 |
A specification-driven approach to improve the reliability of AI-generated SDTM transformation programs |
Rostislav Markov |
source |
6 |
| PharmaSUG |
2026 |
Accelerating Open-Source AI with AWS Bedrock: Architecting LLM Integration with Posit Workbench & Positron |
Philip Bowsher |
source |
6 |
| PharmaSUG |
2026 |
AI-Augmented SDTM Review: A Practical Framework Enhanced by a Structured Prompt Library |
Vihar Patel |
source |
10 |
| PharmaSUG |
2026 |
AI-Driven Intelligent Platforms for ADaM Specification and Code: Empowering Clinical Data Analysis |
Tingting Zeng,
Jia He,
Yaohui Zhu,
Shuang Gao,
Jinling Li,
Nana Yang |
source |
11 |
| PharmaSUG |
2026 |
AI-First Leadership in Biometrics: Redefining Strategy, Teams and Execution in the Agentic AI Era |
Kevin Lee |
source |
7 |
| PharmaSUG |
2026 |
An Approach for Generating Tumor Biopsy Datasets for Drug Development |
Ryan Hernandez-Cancela,
Jeff Cheng,
Sandeep Meesala |
source |
10 |
| 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 |
An Innovative solution for Interactive Dashboards Using Python Flask Framework for Clinical Data Analytics |
Manish Bhagchandani |
source |
6 |
| PharmaSUG |
2026 |
Authentic Leadership for SAS Programming Leaders |
Lisa A. Mendez |
source |
5 |
| PharmaSUG |
2026 |
Automated Quality Checks for SDTM and ADaM Datasets Using R Shiny |
Shih-Che (Danny) Hsu,
Wei Qian |
source |
4 |
| 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 |
Closing the Loop: An Interactive R Shiny Dashboard for EDC Data Visualization and Real-Time Review Tracking |
Jun Yang,
Yuying Jin |
source |
10 |
| PharmaSUG |
2026 |
Closing the Loop: Validating AI-Generated SDTM Mappings using CDISC CORE and Synthetic Data |
Pietro Belligoli,
Constantin Weberpals,
Yarhy Flores Lopez |
source |
7 |
| PharmaSUG |
2026 |
Data Without Borders: CDISC Data Hub for Multi-Language Clinical Analytics & AI |
Mayank Singh |
source |
11 |
| PharmaSUG |
2026 |
Effective Collaboration Between Business, Technical and Quality Units in Building GCP Systems |
Ravi Tejeshwar Reddy Gaddameedi,
Tarek Ahammad,
Elizabeth Arnold |
source |
6 |
| PharmaSUG |
2026 |
From Chaos to Consistency: Standardizing External Clinical Data with Excel Power Query |
Isaac Vazquez,
Jose Hernandez Rivero |
source |
6 |
| PharmaSUG |
2026 |
From ChatGPT to Copilot: Evolving AI Support in SAS and Beyond |
Jyoti (Jo) Agarwal |
source |
10 |
| PharmaSUG |
2026 |
From Manual to Automated": An SAS and R-Based Toolkit for Scalable SDTM Generation |
Hardik Sheth,
Eldho Alias |
source |
8 |
| PharmaSUG |
2026 |
From Static Outputs to Living the Data - A Visualization framework transforming Clinical Data into a Continuous Asset |
Neharika Sharma |
source |
13 |
| PharmaSUG |
2026 |
Goodbye SAS, Hello R: Practical Workflows for CDISC Standards |
Madeleine Penniston,
Alyssa M. Wittle |
source |
12 |
| PharmaSUG |
2026 |
Hero-in-the-Loop: A Super Squad Approach to SDTM Creation & Validation |
Julie Ann Hood |
source |
7 |
| PharmaSUG |
2026 |
ISO 8601 and SAS-and R! A Practical Approach |
Derek P. Morgan,
Marckenley Mercie |
source |
17 |
| PharmaSUG |
2026 |
Leveraging LLMs in Data Science Web Applications: Beyond the Chat Interface |
Tyler Rowsell,
Nandini Thampi,
Dishank Jani,
Hao Xu |
source |
18 |
| PharmaSUG |
2026 |
Navigating Early Career Challenges in PK/ADA Statistical Programming |
Diyu Yang,
Sandeep Meesala |
source |
11 |
| PharmaSUG |
2026 |
One Study, Many Regulators: Submission-Ready Data Package for Multi-Region Filings |
Himanshu Patel,
Chintan Pandya |
source |
10 |
| PharmaSUG |
2026 |
Python for Survival Analysis: Kaplan-Meier and Reverse KM Plots Made Easy |
Girish Kankipati,
Bala Rajesh Jakka |
source |
20 |
| PharmaSUG |
2026 |
SAS viya dynamic visualization of data |
Jumin Geng |
source |
5 |
| PharmaSUG |
2026 |
Traceability in Real World trials - just an aERD away. |
Ashwini Yermal Shanbhogue |
source |
7 |
| PharmaSUG |
2026 |
Virtual Data, Real Standards: Leveraging Data Simulation for Smarter Clinical Trials |
Sangeeta Shabadi,
Nitesh Patil,
Jonathan Henshaw |
source |
16 |
| PHUSE US |
2026 |
A Proc Compare Enhancement Macro |
Chris Weiner |
source
presentation source |
12 |
| PHUSE US |
2026 |
A Skeptics Guide to Using AI for Programming |
Franklin E. Menius |
source
presentation source |
13 |
| 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 |
Around the Data DOSE-y Doe: Using DOSExx Variables within ADaM Datasets |
Inka Leprince,
Richann J. Watson |
source |
10 |
| PHUSE US |
2026 |
Automating SDTM Compliance: A Web-Based SDTM Quality Control Tool Enhancing Clinical Trial Data Integrity |
Indraneel Narisetty,
Gopal Reddy Palvatla |
source
poster source |
11 |
| PHUSE US |
2026 |
AutoProgramming: Agents Are All Y ou Need |
Chengxin Li |
source
presentation source |
11 |
| 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 |
Business Event Triggers - The Next Level of Automation |
Marc Jantke |
source
presentation source |
6 |
| PHUSE US |
2026 |
C&SP 203X Reinventing Clinical & Statistical programming for the AI - era [presentation] |
Sangeeta Bhattacharya |
source |
19 |
| PHUSE US |
2026 |
CDISC 360i Demo: Automating from Study Design to Submission |
Darren Moreland |
source
presentation source |
6 |
| PHUSE US |
2026 |
CDISC Biomedical Concepts for Breast Cancer: A CDISC 360i Perspective |
Bess LeRoy,
Brian Harris |
source
presentation source |
2 |
| PHUSE US |
2026 |
Check Yourself: Edit Checks and Queries Made Easy with Shiny |
Maya Gans |
source
presentation source |
8 |
| PHUSE US |
2026 |
CLIQ: An AI-Native Framework for Unified Clinical Trial Data Quality Assurance |
Gopinath Viswanathan |
source
presentation source |
5 |
| PHUSE US |
2026 |
Creating Synthetic Data that Mimics Real-World Data for Accurate Analysis Programming Development |
Linshan Yuan,
Weiwei Xu |
source
poster source |
5 |
| PHUSE US |
2026 |
Detecting Trends Before They Appear: AI-Driven Visualisations in Clinical Trials |
Steven Tan |
source
presentation source |
6 |
| PHUSE US |
2026 |
Development Process of the Bioresearch Monitoring (BIMO) Package and the Obstacles Successfully Addressed [presentation] |
Sarad Nepal,
Murali Neela |
source |
19 |
| PHUSE US |
2026 |
Electronic Clinical Data Submissions Across Global Regulatory Authorities |
Sampath Madanu |
source
presentation source |
12 |
| 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 |
Evolve Clinical Data Management: A Python-Based Framework for Clinical Data Transformation with Generative AI Integration |
Mitul Patel,
Denis Sokolov |
source
presentation source |
5 |
| PHUSE US |
2026 |
From Complexity to Consistency: Scalable Anonymization Across Clinical Trial Portfolios [presentation] |
Ahmed Eldafrawy,
Danielle DiBonaventura |
source |
22 |
| PHUSE US |
2026 |
From Policy to Practice: A Compliance Checklist for EMA Policy 0070 |
Anaya Rehman |
source
presentation source |
6 |
| 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 |
Harnessing AI to Streamline ClinicalTrials.gov PRS Submissions |
Anaya Rehman |
source
presentation source |
6 |
| PHUSE US |
2026 |
Integrating LLMs Using R Shiny for Clinical Data Review by Ensuring Data Privacy and Validity |
Peng Zhang |
source
presentation source |
5 |
| PHUSE US |
2026 |
Interactive and Instant: GenAI-Driven Creation of Clinical Trial Applications |
Marcin Dubel |
source
presentation source |
12 |
| PHUSE US |
2026 |
Is the AI Coding Assistant Catching Your Vibe? A Practical Assessment of Generative AI Tools in Clinical Data Analytics |
Chendi Liao |
source
presentation source |
6 |
| PHUSE US |
2026 |
Leveraging Python for Synthetic External Vendor Data Generation for eCOA and ePRO |
Hitesh Raval |
source
presentation source |
9 |
| PHUSE US |
2026 |
Metadata-Driven TFL Generation: End-to-End Automation from Protocol to Output |
Bill Qubeck |
source
presentation source |
12 |
| PHUSE US |
2026 |
Multi-Standard Submission - Process, Learnings and Recommendations for Best Practice |
Mukesh Garg |
source
presentation source |
8 |
| PHUSE US |
2026 |
Opening Session - Global Data Sharing Platforms: Aligning Frameworks, Pressures and Opportunities [presentation] |
Cathal Gallagher |
source |
31 |
| PHUSE US |
2026 |
Orchestrating Multi-Agent Workflows for Complex Trial Data Integration |
Rajesh Hagalwadi |
source |
8 |
| PHUSE US |
2026 |
Pre-Conf as a Data Review Layer: An AbbVie Case Study for Optimised Clinical Data Flow |
Gian Prakash,
Aman Thukral |
source
presentation source |
2 |
| PHUSE US |
2026 |
Problem-First Agentic AI: Transforming Statistical Computing with Purposeful Automation |
Rajesh Hagalwadi |
source
presentation source |
8 |
| PHUSE US |
2026 |
Real-Time AI-Driven TLF Generation with GAutoTLF |
Hao Xu,
Tyler Rowsell |
source
presentation source |
14 |
| PHUSE US |
2026 |
Real-Time Integration of EDC and Third-Party Data and Query Actions within an R Shiny Data Review and Patient Profile Tool |
Pavel Burmenko,
Terek J. Peterson |
source
presentation source |
5 |
| PHUSE US |
2026 |
Reimagining SDTM Mapping with Agentic AI and Automation |
Nathan Johnson |
source
presentation source |
4 |
| PHUSE US |
2026 |
Revolutionising Clinical Data Transformation: Harnessing GenAI and Open Source for Automated SDTM Conversion |
Hao (Harry) Chen,
Jian Hua Hang |
source
presentation source |
6 |
| PHUSE US |
2026 |
Scalable Anonymisation for Complex Clinical Trial Data: A Sponsor-Vendor Perspective [presentation] |
Abby McDonell |
source |
30 |
| 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 |
SDTM Automation: Implementation, Rollout and Lessons Learnt |
Bruce Chambers,
Minda Quiroz |
source
presentation source |
6 |
| 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 Journey Beyond Anonymisation: Exploring the Secondary Use of Clinical Trial Data |
Yuliia Cherednichenko,
Tetiana Skorokhod |
source
presentation source |
18 |
| PHUSE US |
2026 |
Thriving in Change: Building People, Process and Technology Capabilities in Statistical Programming |
Ajay Aiyer |
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 |
Turning Trial Data into Patient-Centric Insights |
Catharina Dahlbo,
Eva Kelty |
source
presentation source |
5 |
| PHUSE US |
2026 |
Validation Strategies for Agentic AI Platforms in GxP-Regulated Clinical Data Environments |
Rajesh Hagalwadi |
source
presentation source |
9 |
| PHUSE US |
2026 |
What Pharma Can Learn from Data Science Outside the Industry |
Kris Wenzel,
Liz Cole |
source
presentation source |
11 |
| PHUSE US |
2026 |
Your Next Teammate Has Arrived: Our Story & Reflections on Building AI Coding Assistant for Clinical Insights Generation |
Vincent Shen |
source
presentation source |
4 |
| PHUSE APAC |
2026 |
Accelerating Clinical Study Startup: Automated eCRF Generation from Clinical Protocol Document |
Saiteja Nalla,
Kedar Deshpande |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
Accelerating Pharma Innovation: The Role of SAS Synthetic Data |
Soundarya Palanisamy,
Anand Phand |
source
presentation source |
7 |
| PHUSE APAC |
2026 |
An AI-Powered Digital Standards Library for Accelerated Regulatory Submissions |
Anshu Aman,
Varun Sethuraman |
source
presentation source |
4 |
| PHUSE APAC |
2026 |
Auto-mapping of CDISC standards using Agentic AI |
Nithyanandan Thangavelu,
Rohit Bailur |
source
poster source |
2 |
| PHUSE APAC |
2026 |
Batch Execution of CDISC SDTM/ADaM Programs with R |
Batch Execution,
Denny Sebastian,
Mohin K Mohanan |
source
presentation source |
8 |
| PHUSE APAC |
2026 |
Beyond Basics: Essential R Code Tips and Tricks for Clinical Programmers |
Sanjana Jayacumar |
source
presentation source |
6 |
| PHUSE APAC |
2026 |
Bridging the Divide: Harmonizing HL7 FHIR, OMOP, and CDISC Standards for Regulatory-Grade Real-World Evidence |
Yasa Sreekanth Reddy |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
Creating a clinical trial data package for Regulatory submission |
Pradip Sivaramakrishnan,
Anbarasan Durairajan |
source
poster source |
11 |
| PHUSE APAC |
2026 |
E2E Clinical Metadata Journey: 'Single Source of Truth' to Accelerate Clinical Research - From Collection and Tabulation to Analysis and Reporting |
Indumathi Narasetty |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
Elevating Clinical Data Presentation: Unlocking the Power of rtables in R |
Pooja Jasuja |
source
presentation source |
8 |
| PHUSE APAC |
2026 |
Elevating transparency in data standardization Applying XAI in SDTM, ADaM, and TLF Generation |
Shakila Jagadeesan |
source
presentation source |
10 |
| PHUSE APAC |
2026 |
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 |
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 Clinical Data Standardization Through Intelligent Mapping of eCRF Forms and Items to SDTM |
Saransh Khandelwal,
Kedar Deshpande |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
Evolving with SDTM-IG v3.4: What Clinical Data Professionals Need to Know |
Prashanth Jatothu,
Nagaraju Salugu |
source
presentation source |
6 |
| PHUSE 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 XPT to JSON for submissions: Are we ready for the change? |
Poorna Suresh,
Bill Qubeck |
source
presentation source |
20 |
| PHUSE APAC |
2026 |
Genomics Findings (GF) |
Ruba Sivasamy |
source
poster source |
6 |
| PHUSE APAC |
2026 |
Implementing the CDISC Library RESTful API in R: Automated Access to Metadata Repositories and Controlled Terminologies |
Jagadish Katam |
source
presentation source |
11 |
| PHUSE APAC |
2026 |
Innovating Clinical Signal Surveillance: Real-Time Dashboards for Protocol and PK Deviation Monitoring |
Rubina Pathan,
Jinu J. Nair |
source
poster source |
7 |
| 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 |
Intelligent Integration: Enabling Collaborative Clinical Insights with an SCE and R |
Shivoy Pandita |
source
presentation source |
2 |
| 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 |
Optimising Pinnacle 21 Compliance with Automated Metadata Updates |
Karthik Palani |
source
presentation source |
7 |
| PHUSE APAC |
2026 |
RADAR: Rapid AGILE Development and Automated Reporting for Clinical Data Standards (Using R Shiny based Application) |
Neeraj Sharma,
Dhirendra Kumar |
source
presentation source |
5 |
| PHUSE APAC |
2026 |
Real- World Safety Evaluation through Electronic Medical Record: A Transformative Approach to Korean Post-Marketing Surveillance |
Ha-Yeong Gil,
Yeo Rae Moon,
YongHyun Cho,
Seung-Hee Jeong |
source
poster source |
3 |
| PHUSE APAC |
2026 |
Reimagining Clinical Data Exploration: Animated Data Visualizations for Interactive Clinical Trial Storytelling |
Tony Mathew |
source
presentation source |
6 |
| PHUSE APAC |
2026 |
The {teal} Adoption Playbook: Strategies, Tools and Learning Paths for Open Source [presentation] |
Vedha Viyash |
source |
39 |
| 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 |
Unveiling Powerful Patient Data Insights Through Graph Database |
Sonal Dedhia |
source
presentation source |
10 |
| PHUSE EU |
2025 |
An Evaluation of Data Formats for Clinical Reporting in a Multilingual Environment |
Craig Gower-Page |
source
presentation source |
12 |
| 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 |
Close Encounters with Real-World Data |
Jeffrey M. Abolafia,
Sarah Ferko,
Ingeborg Holt |
source
presentation source |
21 |
| PHUSE EU |
2025 |
Collaborative Industry Open-Source Solutions for Clinical Trial Quality Management |
Björn Koneswarakantha,
Frederik Collin |
source
presentation source |
9 |
| PHUSE EU |
2025 |
FAIRchive Cloud-Based and GxP-Compliant Long-Term Archiving for Clinical Trial Data |
Frank Stoinski,
Alexander Lüders |
source
presentation source |
10 |
| 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 |
Framework for Integrating Omics Data with Other Clinical and NonClinical Data Sources |
Mehdi Harek,
Jonathon Keeney |
source
presentation source |
12 |
| PHUSE EU |
2025 |
From Hassle to Harmony: Unifying Code Quality Experience in R and SAS |
Michael Thomsen |
source
presentation source |
9 |
| PHUSE EU |
2025 |
From SDTM to a Graph-Based, Multi-Purpose Interface for Data |
Eva Kelty,
Catharina Dahlbo |
source
presentation source |
4 |
| PHUSE EU |
2025 |
From Statistical Programming to AI Automation in Data Management: A Cross-Departmental Tech Journey |
Irene Luna,
Marcia Vaz |
source
presentation source |
5 |
| PHUSE EU |
2025 |
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 |
Lets Not Get Lost in Translation: Open-Source Adoption at Novartis |
Mark Baillie,
Orla Doyle |
source
presentation source |
6 |
| PHUSE EU |
2025 |
Leveraging AI for Seamless SAS to R Migration: Challenges and Opportunities |
Milena Kraus,
Corrina Stoeckinger |
source
presentation source |
11 |
| 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 |
More Science, Less Bookkeeping: Our Path to Hyper-Efficient ADaM Program Generation via AI, Process Improvements, and Good Old-Fashioned Programming |
Matthew Phelps,
Nicolai Skov Johnse |
source
presentation source |
10 |
| PHUSE EU |
2025 |
Reproducibility, Lineage and Control: Building a Traceability Framework for the Modern Clinical Trial |
Bill Qubeck,
Shilpa Sood |
source
poster source |
6 |
| PHUSE EU |
2025 |
Rethinking Automation in the AI Era |
James Zee,
Liz Cole |
source
presentation source |
4 |
| PHUSE EU |
2025 |
Revolutionising Clinical Trial Monitoring and Data Analysis with AR- and VR-Driven Immersive Analytics |
Tej Narayan Yadav,
Saurabh Das |
source
presentation source |
7 |
| PHUSE EU |
2025 |
Shots to Stats: AI's Take on Alcohol Units |
Liam Clothier |
source
poster source |
6 |
| PHUSE EU |
2025 |
Snakemake for Statistical Programmers: Automation and Reproducibility in Clinical Studies |
Nassim Sleiman,
Mathieu Cayssol |
source
poster source |
11 |
| PHUSE EU |
2025 |
Synthetic Data - the Game Changer in Drug Development |
Soundarya Palanisamy,
Anette Dalsgaard Jakobsen |
source
presentation source |
7 |
| PHUSE EU |
2025 |
The Kids Are All Right: How Investing in Career-Young Talent Can Create Engaged Future Leaders |
Sean Miles |
source
presentation source |
3 |
| PHUSE EU |
2025 |
The Utilization of an Interface Based on a Graph Database |
Catharina Dahlbo,
Eva Kelty |
source
poster source |
8 |
| PHUSE EU |
2025 |
The Value of Clinical Trial Data: From Submission to Innovation |
Anne Katrine Alsing |
source
presentation source |
8 |
| PHUSE EU |
2025 |
The {teal} Framework Updates: How Open Source and Cross-Industry Collaboration Benefit Everyone! |
Peyman Eshghi,
Paul Jenkins |
source
presentation source |
12 |
| PHUSE EU |
2025 |
Turbocharge Your Trials: Transform CRF Creation and the CDISC standardization process with Xbiom's Smart Metadata Repository and AI/ML Integrations |
Harinarayanan Gopichandran |
source
presentation source |
8 |
| PHUSE EU |
2025 |
Turning Data into Deliverables: Automating Biometrics from Metadata to TFLs |
Inderjeet Arora |
source
presentation source |
9 |
| PHUSE EU |
2025 |
Visualising the Invisible: Patient Journey with Waterfall, Spider and Swimmer Plots |
Varsha Mithun Patil,
Sunita Poojary |
source
presentation source |
14 |
| PHUSE EU |
2025 |
{AdmiralMetabolic}: A Collaborative Journey To Develop an Admiral Extension Package for Metabolic Data |
Anders Askeland,
Olga Starostecka |
source
presentation source |
5 |
| SESUG |
2025 |
Ensure complete raw data to SDTM mapping: a SAS macro approach for quality control |
Cally Davidson,
Eric Howard |
|
8 |
| SESUG |
2025 |
Statistical Programmer's role in Bioresearch Monitoring (BIMO) package creation |
Sampath Madanu |
|
25 |
| 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 |
Addressing early challenges in RWD data standardization for analysis and reporting of RWE studies |
Xingshu Zhu,
Li Ma,
Bo Zheng |
source |
9 |
| PharmaSUG |
2025 |
Advanced Programming with R: Leveraging Tidyverse and Admiral for ADaM Dataset Creation with a Comparison to SAS |
Joshua J. Cook,
Richann J. Watson |
source |
20 |
| PharmaSUG |
2025 |
AI Performing Statistical Analysis: A Major Breakthrough in Clinical Trial Data Analysis |
Toshio Kimura,
Siqi Wang,
Weiming Du,
Songgu Xie |
source |
11 |
| PharmaSUG |
2025 |
AI-Powered Data Issue Tracker for Efficient Data Issue Tracking and Resolution |
Bharath Donthi |
source |
6 |
| PharmaSUG |
2025 |
An End-to-End Workflow for TFL Generation using R: MMRM Applications and Comparative Insights with SAS |
Kai Lei,
Jiaqiang Zhu,
Margaret Huang |
source |
14 |
| PharmaSUG |
2025 |
An Introduction to the Role of Statistical Programming in Medical Affairs |
Nagadip Rao |
source |
9 |
| PharmaSUG |
2025 |
Bridging RStudio and LSAF: A Framework for Faster and Smarter Task Execution |
Jake Adler,
Ben Howell,
Lindsey Barden |
source |
9 |
| PharmaSUG |
2025 |
Bridging the Gap: Leadership of Statistical Programmers in Clinical Trials |
Allison Covucci,
Xiaohan Zou |
source |
6 |
| PharmaSUG |
2025 |
Building Resilient Teams |
Patrick Grimes,
Sajin Johnny |
source |
15 |
| PharmaSUG |
2025 |
Clinical Data Explorer: Transforming Clinical Data into Actionable Insights |
Karma Tarap,
Oriana Esposito,
Maheshkumar Umbarkar,
Ramnath Dhadage,
Tamara Martin |
source |
6 |
| PharmaSUG |
2025 |
Comparing SQL and Graph Database Query Methods for Answering Clinical Trial Questions with LLM-Powered Pipelines |
Jaime Yan |
source |
24 |
| PharmaSUG |
2025 |
Decoding the Role of Statistical Programming - A Decade of Keytruda Submissions and Approvals |
Mary N. Varughese,
Hong Qi |
source |
8 |
| PharmaSUG |
2025 |
Efficient Strategies for Handling Data Issues in Clinical Trial Submissions |
Kate Sun |
source |
7 |
| PharmaSUG |
2025 |
Enhancing Dictionary Management and Automation with NCI EVS: A Deeper Dive for the CDISC Community |
Anthony Chow |
source |
6 |
| PharmaSUG |
2025 |
Gen AI Assisted Code Conversion: From SAS to R Standard ADaM Templates |
Jeff Cheng,
Srinivas Malipeddi,
Gurubaran Veeravel,
Jaime Yan,
Suhas R. Sanjee |
source |
11 |
| PharmaSUG |
2025 |
Generating Synthetic Clinical Trial Data with AI: Methods, Challenges, and Insights |
Max Ma,
Weijie Yang,
Emily Ma |
source |
16 |
| PharmaSUG |
2025 |
Hands-on Training: eTFL Portal & TFL Designer Community |
Bhavin Busa |
source |
8 |
| PharmaSUG |
2025 |
Harnessing AI & CDISC ARS for Effortless Statistical Reporting & CSR Writing |
Bhavin Busa,
Navin Dedhia |
source |
10 |
| PharmaSUG |
2025 |
Navigating the transition of legacy processes for SDTM creation |
Jyothi Ketavarapu |
source |
5 |
| PharmaSUG |
2025 |
R Programming in SAS LSAF: How to Generate Clinical Reports Using an R Session |
Praneeth Adidela |
source |
12 |
| PharmaSUG |
2025 |
SDTM Transformation through Artificial Intelligence (AI) and Human in the Loop (HITL): Lessons Learnt from Abbvie Case Study |
Aman Thukral,
Sanjay Bhardwaj |
source |
2 |
| PharmaSUG |
2025 |
Stop Making More Physical Copies of Your Data: A Modern Approach to Traceability and Fidelity |
Anthony Chow,
Robert Garelick |
source |
8 |
| PharmaSUG |
2025 |
Streamlining BIMO and Patient Profile Generation: A Python-Based Semi-Automated Approach Integrated with CSR Development |
Dmytro Skorba,
Mykyta Vysotskyi |
source |
15 |
| PharmaSUG |
2025 |
The {teal} Adoption Playbook: Strategies, Tools, and Learning Paths for Open Source |
Vedha Viyash |
source |
8 |
| PharmaSUG |
2025 |
Understanding HIV: At-Risk Populations, Treatment, Prevention and Standardized Data Representation in HIV Studies |
Jyoti (Jo) Agarwal |
source |
12 |
| PharmaSUG |
2025 |
Unlocking Success: Lessons from Building R-Based Statistical Packages in Pharma |
Sydney Hyde,
Yirong Cao |
source |
9 |
| PharmaSUG |
2025 |
Updating Define-XML packages: Tips and A Comprehensive Checklist |
Qiong Wei,
Ji Qi,
Lixin Gao |
source |
10 |
| 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 |
4 Steps to Revolutionise Clinical Data Processes: Harnessing Cryptographic Technology for Seamless Interoperability |
Alistair Dootson |
source
presentation source |
3 |
| PHUSE US |
2025 |
A Gen AI Agent for Statistical Output Review |
Peng Zhang,
Lizhong Liu |
source
presentation source |
6 |
| PHUSE US |
2025 |
A Guided User Experience for Automated Mapping |
Nathan Johnson |
source
presentation source |
9 |
| PHUSE US |
2025 |
A Novel Pipeline for Generating Realistic Synthetic CDISC ADaM Datasets Using Large Language Models and Knowledge Graphs |
Chao Su,
Jaime Yan |
source
presentation source |
15 |
| PHUSE US |
2025 |
Actual Intelligence and Artificial Intelligence Joining Forces to Perform Statistical Analysis, Turning AI Hype into Reality |
Songgu Xie,
Toshio Kimura |
source
presentation source |
11 |
| PHUSE US |
2025 |
An Intuitive Way to Derive the Last Known Alive Date in R |
Marckenley Mercie,
Diana Tai |
source
presentation source |
12 |
| 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/ML Drive Data Analysis and Data Mapping in Clinical Trials? |
Philip Ross,
Revvity Signals |
source
presentation source |
11 |
| 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 |
Differential Privacy (DP) Approach for Sharing Survival Analysis Data |
Elena Valkanova,
Bulat Fatykhov |
source
poster source |
11 |
| 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 |
Efficient TFL Review within Statistical Programming - Using R and SAS |
Siddharth Kumar |
source
presentation source |
8 |
| 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 |
Ensuring Data Integrity: A Three Step Approach to Clinical Dashboard Validation |
River Meckstroth |
source
presentation source |
7 |
| PHUSE US |
2025 |
eProtocol and the Promise of Automation |
Bill Qubeck,
Suhas Giriraj |
source
presentation source |
17 |
| PHUSE US |
2025 |
Evaluation of Open-Source Technologies in Clinical Trial Reporting |
Jaimin Patel |
source
poster source |
7 |
| 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 Manual to Machine: Leveraging Best-of-Breed Approaches in Clinical Data Management |
Joseph Lebers |
source
presentation source |
10 |
| 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 |
Gen-AI for Statistical Reporting and Clinical Study Report (CSR) Writing |
Leveraging CDISC |
source
presentation source |
10 |
| 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 |
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 |
Innovative Data Cleaning to Prevent Unblinding Errors in Double-Blind Trials |
Ling Zhang,
Nan Zhou |
source
presentation source |
4 |
| PHUSE US |
2025 |
Innovative Storage of SDTM Mappings as JSON: Boosting Efficiency and Data Consistency |
Rohan Parmar,
Edgar Manukyan |
source
presentation source |
5 |
| 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 |
Let's Talk Future: Automated Solution for Standard-Compliant Data, Mock Shells and TFL Generation Using Open-Source Platforms with AI |
Inderjeet Arora,
Abhijeet Arora |
source
presentation source |
8 |
| PHUSE US |
2025 |
Leveraging Vector Databases to Enhance AI Applications in Pharmaceutical Research |
Angu Sundaresh Krishna Kumar,
Ramanathan Srinivasan |
source
presentation source |
11 |
| 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 |
Optimising AI Software for Automated Protection of Personal and Commercially Sensitive Data |
Honz Slipka |
source
poster source |
7 |
| PHUSE US |
2025 |
Practical Evaluation of AutoML Platforms for Clinical Data Science |
Shubhranshu Dutta |
source
poster source |
4 |
| PHUSE US |
2025 |
Python's Future in Clinical Trials: Innovations and Collaborative Advancements |
Shweta Shukla,
Sohan Lal |
source
presentation source |
10 |
| PHUSE US |
2025 |
R Consortium's R-Based Test Submission Package for FDA Evaluation: A Milestone and a New Frontier in R-Based Regulatory Submissions |
Joel Laxamana |
source
poster source |
7 |
| PHUSE US |
2025 |
Risk Based Quality Management (RBQM) in Clinical Data Management |
Marcin Kot,
Anna Górecka |
source
presentation source |
9 |
| PHUSE US |
2025 |
Scaling up: accelerating self-hosted open-access LLMs to compete with the Big Three (ChatGPT, Claude, Gemini) |
Kostiantyn Drach |
source
presentation source |
12 |
| PHUSE US |
2025 |
SDTM Automation by Using Metadata to Drive R Functions for Data Transformation |
Krishna Gopal,
Jaya Simha Inampudi |
source
presentation source |
3 |
| PHUSE US |
2025 |
SDTM Specification Automation Using an ML Approach to Provide Mappings |
Benzi Mathew,
Jaya Simha Inampudi |
source
presentation source |
5 |
| PHUSE US |
2025 |
Strategic Authoring of Clinical Study Reports to Leverage AI for Data Privacy and Public Disclosure |
Anaya Rehman |
source
presentation source |
6 |
| PHUSE US |
2025 |
The Development of the CDISC eTFL Portal To Support the Adoption and Implementation of the Analysis Result Standard |
Bess LeRoy,
Bhavin Busa |
source
presentation source |
8 |
| PHUSE US |
2025 |
The Implementation of {teal} Shiny Apps for DMC Activities |
Zhen Wu,
Peng Zhang |
source
presentation source |
7 |
| PHUSE US |
2025 |
The Olympics of Data Ingestions |
Cathryn Herbst |
source
presentation source |
8 |
| PHUSE US |
2025 |
The R Test Kitchen: Cooking Up Quality in Clinical Analytics & Reporting |
Emily Yates |
source
presentation source |
6 |
| PHUSE US |
2025 |
The Right Tool for the Job: Enhancing Risk-Based Monitoring and Data Cleaning |
Casey Higgins |
source
presentation source |
4 |
| PHUSE US |
2025 |
Turbocharge Your Trials: Transform CRF Creation and the CDISC standardization process with Xbiom's Smart Metadata Repository and AI/ML Integrations |
Harinarayanan Gopichandran |
source
presentation source |
8 |
| PHUSE US |
2025 |
Unleashing the Power of {teal}: New Features and Cross-Industry Collaboration |
Nina Qi,
Dony Unardi |
source
presentation source |
6 |
| 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 |
Wearable Technology: Enhancing Patient Monitoring and Real-World Evidence |
Bill Qubeck,
Sridhar Vijendra |
source
presentation source |
15 |
| PHUSE US |
2025 |
When and Why You Should Deviate from CDASH Standards |
Agnes Nkenglefac Akawung,
Trevano Dean |
source
poster source |
2 |
| PHUSE US |
2025 |
Why Be Different? Shouldn't Everyone Be Using Agile to Deliver Their Clinical Trials? |
Michael S Rimler |
source
presentation source |
5 |
| PHUSE US |
2025 |
{teal.builder}: Our Journey After One Year |
Andre Couturier,
Freeman Wang |
source
presentation source |
4 |
| PHUSE EU |
2024 |
A Guided User Experience for Automated Mapping |
Achilleas Zaras |
source
presentation source |
9 |
| PHUSE EU |
2024 |
Aligning Good Transparency Practice with the ISO/IEC 27559 De-Identification Framework [poster] |
Abby McDonell |
source |
1 |
| 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 |
Bridging Statistical Programming and Data Management: A Job Rotation Experience |
Frederikke Høyer |
source |
4 |
| PHUSE EU |
2024 |
Building CORE Strength: An Implementation Exercise |
Addie Nina Olsen,
Stine Winkler Bertelsen |
source
poster source |
3 |
| 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 |
Data Curation Beyond Today's Standards |
Catharina Dahlbo,
Eva Kelty |
source
poster source |
5 |
| PHUSE EU |
2024 |
Database Lock Is Only the Beginning: The Long, Winding Journey of Secondary Data Reuse at Roche |
Tamara Senior |
source
presentation source |
3 |
| PHUSE EU |
2024 |
From Contributor to Leader: How Open Source Nurtures Innovative Leadership |
Mark Bynens |
source
presentation source |
9 |
| PHUSE EU |
2024 |
Harmonising FDA and PMDA Submission Requirements |
Luca Semeraro |
source
presentation source |
12 |
| PHUSE EU |
2024 |
Interactive Session - The State of Open Source Technology in Clinical Data Analysis, Reporting, and Submissions - A PHUSE Manuscript [presentation] |
Katja Glass,
Michael S Rimler |
source |
27 |
| PHUSE EU |
2024 |
Leveraging 'Ensemble' Machine Learning Models to Drive Automation of Specification Generation and Data Mapping in Clinical Trial Data Submission |
Venu Mallarapu |
source
presentation source |
10 |
| 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 |
Mapping a Veeva SDS Specification to ODM-XML |
Jørgen Mangor Iversen |
source
presentation source |
7 |
| PHUSE EU |
2024 |
Medidata RAVE and Veeva CDMS Data Extraction Macros |
Craig Mistal,
Nicola Tambascia |
source
presentation source |
4 |
| PHUSE EU |
2024 |
Navigating and Building Bridges: A Framework for Clinical Programming Using Open-Source Tools |
Yash Ankurbhai Shah,
Kavitha Allala |
source
presentation source |
8 |
| PHUSE EU |
2024 |
Navigating First Data Submission: Pierre Fabre's Journey and Insights into Data Submission Challenges with the NMPA |
Romain Raymond,
Benoit Sansas |
source
presentation source |
7 |
| PHUSE EU |
2024 |
OAK Productivity Experiment - How We Made SDTM Programming 5x Faster |
Amy Franklin,
Magdalena Krochmal |
source
presentation source |
5 |
| PHUSE EU |
2024 |
SAIL.R: A Journey Towards R Software at Johnson & Johnson - A Training Perspective |
Yannick Vandendijck |
source
presentation source |
10 |
| PHUSE EU |
2024 |
Shiny, FAIR and Compliant? |
Shivoy Pandita,
Jörn Bilow |
source
presentation source |
2 |
| 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 Development of the CDISC eTFL Portal to Support the Adoption and Implementation of the Analysis Results Standard |
Bess LeRoy,
Bhavin Busa |
source
presentation source |
8 |
| PHUSE EU |
2024 |
The Jungle in the Cloud [poster] |
Sven Prasse |
source |
1 |
| PHUSE EU |
2024 |
Theory to Practice: Harnessing R to Enhance Workflows |
Joana Marques Barros,
Matthew Brierley |
source
presentation source |
11 |
| PHUSE EU |
2024 |
Transcriptomics - A Demanding Data Analysis that Expands the Limits of Regulated Clinical Data Handling |
Lea Yoshida Hildebrandt |
source
presentation source |
6 |
| 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 |
Unlocking the Potential of Unstructured Data in Real-World Evidence: Leveraging Text for Enhanced Patient Classification and Regulatory Validation |
Georgios Panagiotakis,
Maria Puri |
source
poster source |
10 |
| PHUSE EU |
2024 |
Using Git and GitLab to Empower QC Workflow and Project Management in Clinical Reporting |
Kieran Martin,
Welwyn Garden |
source
presentation source |
5 |
| PHUSE EU |
2024 |
Where Does Your SCE Fit in Your Data Strategy? |
Phil Loucks |
source
presentation source |
7 |
| SESUG |
2024 |
The Essentials Given - Becoming an Expert of Statistical Programming in Pharma & Health Care Industry |
Hongbo Li |
source |
5 |
| WUSS |
2024 |
SAS Viya in Action: Enhancing Life Sciences Data Analysis [presentation] |
Matthew J. Becker |
source |
13 |
| 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 R Function to Split Text Strings Exceeding 200 Characters into Multiple Variables |
Longfei Li |
source |
7 |
| PharmaSUG CN |
2024 |
Compare and batch validation in R for mixed QC |
Perphy Zhao,
Melody Yu,
Michael Wang,
Qian Su |
source |
13 |
| PharmaSUG CN |
2024 |
Fighting with Special Characters in Data Management Programmer's Daily Work |
Fei Guo |
source |
20 |
| PharmaSUG CN |
2024 |
Implementing Statistical Methods in Companion Diagnostic: A Case Study in NSCLC |
Danxia Hu,
Mandy Gao,
Jianyong Tong |
source |
10 |
| PharmaSUG CN |
2024 |
Interactive analyses and displays for clinical data by utilizing a complete suite of analysis and reporting (A&R) tools via MedDRAH |
Zhiping Yan |
source |
13 |
| PharmaSUG CN |
2024 |
LiveTFL -- A Centralized Clinical Analysis Platform Based on the Teal Framework and Enhanced by AI |
Kaiping Yang,
Jie Liu,
Cheng Zhang,
Yuhang Liu |
source |
22 |
| PharmaSUG CN |
2024 |
One-stop solution for QA - Automation Tool by Python |
Yangxue Ma |
source |
5 |
| PharmaSUG |
2024 |
A 'Shiny' New Perspective: Unveiling Next-Generation Patient Profiles for Medical and Safety Monitoring |
Helena Belloff,
William Lee,
Melanie Hullings |
source |
8 |
| PharmaSUG |
2024 |
A New Approach to Automating the Creation of the Subject Visits (SV) Domain |
Xiangchen (Bob) Cui,
Jessie Wang,
Min Chen |
source |
24 |
| PharmaSUG |
2024 |
aCRF Copilot: Pioneering AI/ML Assisted CRF Annotation for Enhanced Clinical Data Management Efficiency |
Chaitanya Pradeep Repaka,
Santhosh Karra |
source |
7 |
| PharmaSUG |
2024 |
Advancing the Maturation of Standardized CRF Design |
Sugumaran Muthuraj,
Rubha Raghu |
source |
9 |
| 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 |
Bridging AI and Clinical Research: A New Era of Data Management with ChatGPT |
Illia Skliar |
source |
12 |
| PharmaSUG |
2024 |
Converting FHIR to CDASH using SAS |
Pritesh Desai,
Mary Liang |
source |
5 |
| PharmaSUG |
2024 |
Define-XML Conversion: A General Approach on Content Extraction Using Python |
Danfeng Fu,
Dickson Wanjau,
Ben Gao |
source |
15 |
| 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 |
Generation of Synthetic Data for Clinical Trials in Base SAS using a 2-Phase Discrete-Time Markov and Poison Rare Event Framework |
Adam Yates,
Misti Paudel,
Fengming Hu |
source |
14 |
| PharmaSUG |
2024 |
Oncology ADaM Datasets Creation Using R Programming: A Comprehensive Approach |
Ishwar Chouhan |
source |
29 |
| PharmaSUG |
2024 |
Periodic safety reports of clinical trials |
Murali Kanakenahalli,
Annette Bove,
Smita Sehgal |
source |
8 |
| PharmaSUG |
2024 |
The Role of the Blinded Programmer in Preparation of Data Monitoring Committee Packages (for Clinical Trials) |
Binal Mehta,
Patel Mukesh |
source |
6 |
| PharmaSUG |
2024 |
Unravelling the SDTM Automation Process through the Utilization of SDTM Transformation Template |
Lakshmi Mantha,
Inbasakaran Ramesh |
source |
11 |
| PharmaSUG |
2024 |
Updates on Preparing a BIMO Data Package |
Elizabeth Li,
Carl Chesbrough,
Inka Leprince |
source |
17 |
| PHUSE US |
2024 |
A Privacy Methodology Toolkit to Improve Cross-Industry Clinical Data Reuse |
Patty Hegarty |
source
presentation source |
7 |
| 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 |
Beyond Outliers: Unsupervised Anomaly Detection in Clinical Trial Data |
Helena Yaben,
Kian Norouzi |
source
presentation source |
9 |
| PHUSE US |
2024 |
Beyond the Hype: A Pragmatic Approach to Leveraging AI/ML for Data Review |
Robert Musterer |
source
presentation source |
10 |
| PHUSE US |
2024 |
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 |
Collaborative Development of a Clinical Trial Data Anomaly Detection Tool within an Industry Consortium |
Pekka Tiikkainen |
source
presentation source |
6 |
| PHUSE US |
2024 |
Data Pipeline - Improving Cycle Time and Shifting Data Closer to Analytics |
Jayasree Ivaturi |
source
presentation source |
6 |
| PHUSE US |
2024 |
Data Quality Evaluation of EHR FHIR API Real-World Data for FDA and Pharmaceutical Industry Use for Analysis and AI Implementation |
Sarah Ferko,
Abhishek Pandey,
Matthew Deady,
Brian Goodness |
source
presentation source |
10 |
| PHUSE US |
2024 |
Digital Protocol Vision ... How Digital Information Can Transform and Automate Our Processes [presentation] |
Bill Qubeck,
Chris Decker |
source |
27 |
| PHUSE US |
2024 |
Dynamic document creation framework for streamlining cSDRG |
Umayal Annamalai |
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 |
From Data Iron to Data Gold |
Ashwini Yermal Shanbhogue |
source
poster source |
9 |
| PHUSE US |
2024 |
From Missing to Meaningful: Tackling Partial Dates in Clinical Trials |
Bhargav Koduru |
source
poster source |
4 |
| 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 |
Large Language Models to Support RBM and Clinical Trial Development |
Sebastiaan Höppner,
Laura Trotta |
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 |
Mapping Real-World Data (RWD) to SDTM Samples for External Control Arm or Registry Studies |
Joe Xi,
Kevin Yang |
source
presentation source |
3 |
| PHUSE US |
2024 |
Navigating the Safe Integration of AI (ChatGPT) into Clinical Trials Programming Workflow |
Mykyta Vysotskyi |
source
presentation source |
10 |
| PHUSE US |
2024 |
Risk-Based Monitoring Using AI/ML Detection of Systematic Bias in Clinical Data |
Kostiantyn Drach,
Sergey Glushakov |
source
presentation source |
12 |
| PHUSE US |
2024 |
SAS ODS Package for Efficient Creation of Zip File for P21 Validation |
Venkatesh Burla |
source
presentation source |
8 |
| PHUSE US |
2024 |
Sowing Seeds of Inspiration: Letters to a Pre-Scientist |
Julie Ann Hood |
source
poster source |
3 |
| PHUSE US |
2024 |
Statistical Monitoring Report: A Path Forward to Interactive Data Analysis and Quantitative Decision-Making |
Debopriya Ghosh |
source
presentation source |
3 |
| PHUSE US |
2024 |
Teal.builder: A Multifaceted Teal App Builder for Clinical Data Exploration and Reporting |
Freeman Wang,
Andre Couturier |
source
presentation source |
5 |
| PHUSE US |
2024 |
The Data Review Model - Recognising the Benefits of a Single Source of Truth Model for Data Review |
Priyank Patel |
source
presentation source |
8 |
| PHUSE US |
2024 |
The State of Open-Source Technology in Clinical Data Analysis, Reporting and Submissions - A PHUSE Manuscript |
Michael S Rimler |
source
presentation source |
1 |
| PHUSE US |
2024 |
The TransCelerate/CDISC Digital Data Flow Project: Practical Electronic Study Designs [presentation] |
David Iberson-Hurst |
source |
28 |
| PHUSE US |
2024 |
Translating Data into Tableau Insights: Bridging the Gap Between Programmers and Medical Physicians |
Agnieszka Bel |
source
presentation source |
7 |
| PHUSE US |
2024 |
Usage of OMOP-CDM along with CDISC in Clinical Trials: Challenges and Opportunities |
Parag Shiralkar |
source
presentation source |
5 |
| PHUSE US |
2024 |
Validation Unveiled: Striking the Balance for Data Integrity and Compliance in R, Python, and SAS |
Sy J. Truong |
source
presentation source |
10 |
| PHUSE US |
2024 |
Whodunnit? Automation Tools Accelerate Statistical Analysis in an SCE with Full Compliance [presentation] |
Shivoy Pandita,
Jörn Bilow |
source |
13 |
| PHUSE EU |
2023 |
3P to V - How People, Process and Product Generate Mutual Business Value: Review of an SCE Journey |
Javeed Paray,
Marc Jantke |
source
presentation source |
3 |
| PHUSE EU |
2023 |
A Data Lake is not a CDR and a CDR is not a Data Lake... Understanding the Differences and the Value of Each |
Chris Decker |
source
presentation source |
5 |
| PHUSE EU |
2023 |
A Privacy Methodology Toolkit to Improve Cross-Industry Clinical Data Reuse |
Boris Grimm,
Diana Ye |
source
presentation source |
7 |
| PHUSE EU |
2023 |
Advanced Analytics for Data Quality Assessment in Countries and Regions Affected by Crisis |
Archana Nayak,
Mohammad Umarfaruque |
source
presentation source |
13 |
| PHUSE EU |
2023 |
Applying Central Statistical Monitoring to Find Anomalies and Address Quality Issues in Clinical Trial Data |
Wiktor Majewski |
source
presentation source |
5 |
| PHUSE EU |
2023 |
Be Future-Minded While Designing Your Next Generation SCE |
Susanne M. Andersen,
Olivier Bouchard |
source
presentation source |
12 |
| PHUSE EU |
2023 |
Boosting SAS Programming Efficiency with ChatGPT: A Clinical Trials Perspective |
Illia Skliar |
source
presentation source |
11 |
| PHUSE EU |
2023 |
Building a Large-Scale Clinical Trial's IT System with In-House Software and OpenClinica |
Sonja Grotjahn,
Allen Young |
source
presentation source |
7 |
| PHUSE EU |
2023 |
Building a Scalable Utility Service to Make Multi lingual Applications Available to the Masses! |
Aksel Thomsen |
source
presentation source |
3 |
| PHUSE EU |
2023 |
Building an integrated pre-clinical and clinical data platform to enable rapid translational data review |
Brenda Finney,
Ali Dootson Instem |
source
presentation source |
12 |
| PHUSE EU |
2023 |
CodeGeneration: Turning Metadata into SAS, R or Python |
Stuart Malcolm |
source
presentation source |
6 |
| PHUSE EU |
2023 |
Comparing Analysis Method Implementations in Software (CAMIS): An Open Source Repository to Document Differences in Statistical Methodology Across Software |
Christina Fillmore |
source
presentation source |
7 |
| PHUSE EU |
2023 |
Creating CORE Rules from Biomedical Concepts |
Johannes Ulander |
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 |
Experiencing the FDA CBER |
Merve Akram,
Angelo Tinazzi |
source
presentation source |
9 |
| PHUSE EU |
2023 |
Figures are Basic(ally Overlooked) |
Kaleb Mead |
source
poster source |
17 |
| PHUSE EU |
2023 |
Getting ready for R |
Kieran Martin,
Welwyn Garden |
source
presentation source |
6 |
| 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 |
Janssen DATA4YOU Platform Approach for Clinical Data Review |
Erik Lemmens,
Paul Fioole |
source
presentation source |
7 |
| PHUSE EU |
2023 |
Metadata-Driven ADaM R-Code Generation by Leveraging Automation Potential |
Thiago Figueiredo,
Waldemar Miller |
source
presentation source |
31 |
| PHUSE EU |
2023 |
MINT+ Automation and Digitization of SDTM specification |
Magdalena Krochmal |
source
presentation source |
5 |
| PHUSE EU |
2023 |
Oak Garden - Metadata-Driven SDTM Automation in R |
Magdalena Krochmal,
Amy Franklin |
source
presentation source |
7 |
| PHUSE EU |
2023 |
R Validation: Getting Started |
Christian S. Christensen |
source
presentation source |
7 |
| PHUSE EU |
2023 |
Real-Time Safety and Medical Review by Integrating Data Visualisations with an SCE |
Shivoy Pandita,
Santhoshi Madeswaran |
source
presentation source |
8 |
| PHUSE EU |
2023 |
Revolutionising Data Exploration: An Interactive Journey Through R Shiny [presentation] |
Valentin Legras |
source |
30 |
| PHUSE EU |
2023 |
Road to Rome or Roaming - A Reprise [presentation] |
Francis Kendall,
Christian Mueller |
source |
32 |
| 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 |
The TransCelerate/CDISC Digital Data Flow Project: Practical Electronic Study Designs [presentation] |
David Iberson-Hurst |
source |
28 |
| PHUSE EU |
2023 |
Transparent is the New Black - Improving Data Findability Through Better Clinical Metadata |
Lukas Kniola |
source
presentation source |
16 |
| 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 |
| PHUSE EU |
2023 |
Visualising Your Protocol Objectives |
Varun Tripuraneni |
source
presentation source |
6 |
| PHUSE EU |
2023 |
Will R/Shiny Provide a Novel Way for Study Teams to Review Clinical Data? |
Gustav Söderström |
source
presentation source |
3 |
| WUSS |
2023 |
Navigating SAS and CDISC Certification with Apprenticeship |
Sarvar Khamidov |
source |
7 |
| SESUG |
2023 |
For Clinical Trials: A Faster and Smoother Approach to Create your SDTM and ADAM Define Specifications for Define.xml with SAS |
Star Nze |
source |
29 |
| PharmaSUG |
2023 |
A Macro Utility for CDISC Datasets Cross Checking |
Chao Su,
Jaime Yan,
Changhong Shi |
source |
9 |
| PharmaSUG |
2023 |
Adopting the New Integrated Analysis Data Reviewer-s Guide (iADRG) |
Randi Olsen McFarland,
Srinivas Kovvuri,
Kiran Kumar Kundarapu,
Satheesh Avvaru |
source |
11 |
| 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 |
Are you planning to create/validate CDISC data set in R? Here is a step-by-step guide! |
Ganeshchandra Gupta |
source |
8 |
| PharmaSUG |
2023 |
BIMO Package: Challenges and Perspectives while keeping up with the upgrades in the BIMO Technical Conformance Guide and the BDRG Guidelines |
Mathura P. Ramanathan,
Sowmya Gabbula |
source |
18 |
| PharmaSUG |
2023 |
Can We Do It Better? Real-Time Validation Of Sdtm Mapping Is Superior To Double Programming |
Daniel Rolo,
Bremer Louw |
source |
9 |
| PharmaSUG |
2023 |
Challenges with Metadata Repository System Implementation: A Sponsor-s Perspective |
Radhika Kale,
Reema Baweja |
source |
9 |
| PharmaSUG |
2023 |
Digital Data Flow (DDF) and Technological Solution Providers |
Prasoon Sangwan,
Piyush K. Singh |
source |
8 |
| PharmaSUG |
2023 |
Gear up the Metadata - Automating Patient Profile Generation, a Metadata Driven Programming Approach |
Tanmay Khole,
Aman Sharma,
Lili Li,
Durga Prasad Chinthapalli |
source |
20 |
| PharmaSUG |
2023 |
Metaverse in the Healthcare - More Real than imagined! |
Aman Bahl |
source |
14 |
| PharmaSUG |
2023 |
Novel Applications of Real World Data in Clinical Trials: External Control Arms |
Sherrine Eid,
Samiul Haque,
S. Robert Collins |
source |
6 |
| PharmaSUG |
2023 |
OCS Update: OCS Clinical Services & the Traceability Assessment |
Jesse Anderson |
source |
25 |
| PharmaSUG |
2023 |
Programmer-s Perspective: Step into Awareness Regarding Clinical Trial Deliverables and Their Impact |
Lyma Faroz,
Jinit Mistry |
source |
10 |
| PharmaSUG |
2023 |
Recent updates in BIMO Technical conformance guidance and use case scenario |
Vaibhav Garg,
Sreedhar Bodepudi |
source |
4 |
| 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 |
You can REST easy validating Synthetic Data |
Ben Howell,
Ben E. Bocchicchio |
source |
9 |
| PHUSE US |
2023 |
Automation of ADaM Dataset & TFL Visualization Through an R Package - GenAdam2 |
Mahesh Divakaran |
source
presentation source |
5 |
| PHUSE US |
2023 |
Balance Between Humans and Machines - How NLP Helps Translate Text Specification to Code, and Vice Versa |
Hao (Harry) Chen,
Jaimin Patel |
source
presentation source |
9 |
| PHUSE US |
2023 |
Best Practice for Successful Adoption and Implementation of CDISC Data Standards [presentation] |
Gilbert Hunter,
Martin Johnston |
source
video |
25 |
| PHUSE US |
2023 |
Beyond k-anonymity for Clinical Trial Data Anonymisation [presentation] |
Parvee Kumar,
Diwakar Angra |
source
video |
17 |
| PHUSE US |
2023 |
Big Pharma Acquires Biotech - Perceptions from The Clinical Data Scientists' Point of View |
Jonas Poulsson,
Henning Pontoppidan Föh |
source
presentation source |
10 |
| PHUSE US |
2023 |
Challenges of Handling Vaccines Serology Data for Analysis and Reporting [presentation] |
Saritha Dhanasri,
Helen Yang |
source
video |
17 |
| PHUSE US |
2023 |
Connecting Tables, Listings and Figures [presentation] |
Stella Guo |
source
video |
11 |
| PHUSE US |
2023 |
Data Standards Governance and Implementation Across Industry: Key Challenges and Benefits [presentation] |
Gayathri Mahadevan,
Matt Baldwin |
source
video |
15 |
| PHUSE US |
2023 |
Decentralized Clinical Data Management (D-CDM): An Innovative 3-Way Approach (Risk-Data-Analytics) to Protect Data Integrity [presentation] |
Nithiyanandhan Ananthakrishnan,
Mukesh Babu K |
source |
13 |
| PHUSE US |
2023 |
Eminent Transitional Approach to Data Management: A Data Strategist's Journey from QbD to Reporting [poster] |
Mohamed Sameer,
Madhu Annamalai |
source |
1 |
| PHUSE US |
2023 |
Enabling Comprehensive Interactive Data Analysis and Exploration in R with an Open-Sourced, Scalable Shiny Framework [presentation] |
Dony Unardi,
Chendi Liao |
source
video |
17 |
| PHUSE US |
2023 |
Future Workforce: How to invest in your team through Innovative transformation |
Limna Salim |
source
presentation source |
8 |
| PHUSE US |
2023 |
Helping You Get in the Lightning Lane for a Wild Submissions Ride! [presentation] |
Ali Dootson |
source
video |
20 |
| PHUSE US |
2023 |
Navigating in an Information Graph |
Eva Kelty |
source
presentation source |
2 |
| PHUSE US |
2023 |
Snow White & the 7 Keys for Data Lake Hydration [presentation] |
Chris Decker,
Kate McMahon |
source
video |
23 |
| PHUSE US |
2023 |
Up-to-Date with Dates - Imputation Rules in R Compared to SAS |
Monika Ludwinska |
source
presentation source |
10 |
| PHUSE US |
2023 |
Use R to Track and Highlight the Changes Between 2 Versions of Data to Have More Efficient Data Review |
Disheng Huang,
Kevin Li |
source
presentation source |
5 |
| PHUSE US |
2023 |
Variations on a Theme. Let Me Count the Ways We Do Things Differently to Achieve the Same Goal [presentation] |
Andy Ratcliffe |
source
video |
21 |
| PHUSE EU |
2022 |
Automate to Accelerate: Saama's Smart Auto Mapper |
Mike Collinson |
source
presentation source |
5 |
| PHUSE EU |
2022 |
Automation of Standard ADaM Variables Through an R Package - GenAdam |
Mahesh Divakaran |
source
presentation source |
8 |
| PHUSE EU |
2022 |
Automation of the CDISC Pilot study - a step-by-step guide |
Stuart Malcolm |
source
presentation source |
9 |
| PHUSE EU |
2022 |
Bioresearch Monitoring Data Reviewer's Guide (BDRG) [presentation] |
Jack Field,
Steve Fitzpatrick |
source
video |
20 |
| PHUSE EU |
2022 |
Clinical Data Standards and Production of SDTMs. Are We Missing Important Points? [presentation] |
Eva Stigson,
Paulina Kuczkowska |
source |
15 |
| PHUSE EU |
2022 |
DRM Version 2: The Standards Strike Back [poster] |
Marc-Antoine Prodhomme |
source |
1 |
| PHUSE EU |
2022 |
If you want to deliver standardised clinical data sets quickly, talk to the machine |
Chris Austin,
Michael Phillips |
source
presentation source |
6 |
| PHUSE EU |
2022 |
Standards Subject to Change: Data Standards Flexibility in an Evolving Landscape [presentation] |
Gina Wood,
Alison Banda |
source |
28 |
| PHUSE EU |
2022 |
Submission Readiness [presentation] |
Ali Dootson |
source |
16 |
| PHUSE EU |
2022 |
Technology Disruption in the Last Decade Can Inform Our Future Innovation [presentation] |
Chris Decker |
source
video |
19 |
| PHUSE EU |
2022 |
The Future-proof Data Fabric for Digital and Decentralised Trials [presentation] |
Venu Mallarapu |
source |
12 |
| PHUSE EU |
2022 |
The Real Benefit to Using Real-world Evidence Studies" Using RWE to Revamp Clinical Trials |
Artur Sargsyan |
source
presentation source |
5 |
| PHUSE EU |
2022 |
The Secret to Getting Your Dream Job Offer [presentation] |
Tom Oades |
source
video |
13 |
| PHUSE EU |
2022 |
Using Individual-level Real-world Data to Inform Disease Area Data Models Employed for Clinical Trial Simulation and Design [presentation] |
Sheila McCartan |
source
video |
41 |
| WUSS |
2022 |
TrackCHG: A SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Safety Listings |
Inka Leprince,
Elizabeth Li,
Carl Chesbrough |
source |
21 |
| PharmaSUG |
2022 |
Agile innovation - an adaptive approach to transformation in Clinical Research Organizations |
Aman Bahl,
Hrideep Antony |
source |
10 |
| PharmaSUG |
2022 |
Automation using SAS Makes it Easy to Monitor Dynamic Data in Clinical Trial |
Wenjun He |
source |
9 |
| PharmaSUG |
2022 |
Data Mining of Tables: The Barrier for Automation |
Ilan Carmeli |
source |
6 |
| PharmaSUG |
2022 |
Exploring R as a validation tool for statistical programming in clinical trials |
Uday Preetham Palukuru,
Runcheng Li,
Nilesh Patel,
Changhong Shi |
source |
11 |
| PharmaSUG |
2022 |
Implementing and Achieving Organizational R Training Objectives |
Jeff Cheng,
Abhilash Chimbirithy,
Amy Gillespie,
Yilong Zhang |
source |
8 |
| PharmaSUG |
2022 |
Introduction to Synthetic Control Arm |
Venkat Rajagopal,
Abhinav Jain |
source |
4 |
| PharmaSUG |
2022 |
ISO 8601 and SAS: A Practical Approach |
Derek P. Morgan |
source |
13 |
| PharmaSUG |
2022 |
Leveraging AI to process unstructured Clinical data in real-time |
Madhusudhan Nagaram,
Syam Prasad Chandrala |
source |
10 |
| PharmaSUG |
2022 |
New Digital Trends and Technologies in Clinical Trials and Clinical Data Management |
Srinivasa Rao Mandava |
source |
8 |
| PharmaSUG |
2022 |
SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Listings |
Inka Leprince,
Elizabeth Li,
Carl Chesbrough |
source |
19 |
| PharmaSUG |
2022 |
Validation of Statistical Outputs Using Automation |
Ilan Carmeli,
Yoran Bar |
source |
6 |
| PharmaSUG |
2022 |
Vendor Audit: What it is and What to Expect from it |
Parag Shiralkar,
Nagadip Rao |
source |
6 |
| PHUSE US |
2022 |
CDISC Analysis Results Standards - Approach and Development Update [presentation] |
Bess LeRoy,
Jeffrey M. Abolafia,
Bhavin Busa |
source |
18 |
| PHUSE US |
2022 |
Clinical Data Standardization and Integration Using Data Warehouse and Data Mart Processes [presentation] |
Clio Wu |
source |
15 |
| PHUSE US |
2022 |
FDA Study Data Technical Rejection Criteria (TRC): What You Need to Know! [presentation] |
Jiang Xu,
Lina Cong |
source
video |
26 |
| PHUSE US |
2022 |
Introducing Reporting Packages in R for TFLs [presentation] |
Pavan Reddy,
Thomas Kalfas |
source
video |
12 |
| PHUSE US |
2022 |
Patient Registries - Challenges and Opportunities [presentation] |
Sophia Zilber |
source |
20 |
| PHUSE US |
2022 |
R and its Application in Clinical Trial Data Analysis [presentation] |
Santosh Kumar Davuluri |
source
video |
21 |
| PHUSE US |
2022 |
Real-time Interactive Dashboard for Clinical Trials [presentation] |
Kris Liu |
source |
9 |
| 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 |
The Bioresearch Monitoring Data Reviewer's Guide (BDRG) [presentation] |
Julie Maynard,
Sopan Dharma Kaith |
source |
25 |
| PHUSE US |
2022 |
The Decentralized Trials Data Problem: Foundations for the Future of Clinical Trials [presentation] |
Raj Indupuri |
source
video |
11 |
| PHUSE US |
2022 |
Using the Geometric Properties of Datasets to Analyze the Accuracy of COVID-19 Forecasting Models [presentation] |
Irina Kotenko,
Kostiantyn Drach |
source |
30 |
| PHUSE US |
2022 |
We R in SPACE (Statistical Programming And Computing Environment). And We R Not Alone! [presentation] |
Alastair Scarlett,
Sumesh Kalappurakal |
source |
7 |
| PHUSE EU |
2021 |
A Beginner's Guide to Data Analysis |
Shuva Dey |
source
video |
15 |
| PHUSE EU |
2021 |
Best Practices: Analysing Classical Clinical Trial Data with ML Methods [presentation] |
Uwe Pritzsche |
source
video |
10 |
| PHUSE EU |
2021 |
Building an SCE that Users Want to Use [presentation] |
Alastair Scarlett,
Chris Decker |
source
video |
9 |
| PHUSE EU |
2021 |
Clinical Design - Visualisation and Analysis Using the Interactive Application by R Shiny |
Athira Sudhakar,
Mahesh Divakaran |
source
video |
7 |
| PHUSE EU |
2021 |
Data Engineering - An Emerging Skill for Today's Statistical Programmers [presentation] |
Axel Muehlig,
Sangeeta Bhattacharya |
source
video |
18 |
| PHUSE EU |
2021 |
Data-driven Decisions: How an Increase in Data Demand is Driving the Creation of New Platforms Focused on Non-data Natives [presentation] |
Trevor Standish |
source
video |
10 |
| PHUSE EU |
2021 |
Do's and Don'ts for PRCI Submissions [poster] |
Parvee Kumar |
source
video |
1 |
| 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 |
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 |
7 |
| PHUSE EU |
2021 |
Programming Infrastructure to Automate Process Flow for CSS [presentation] |
Archana Nayak,
Salvatore Saporito |
source
video |
22 |
| PHUSE EU |
2021 |
Real-time Analysis of Clinical Trial Data [presentation] |
Jem Chang,
Prasanna Murugesan |
source
video |
9 |
| PHUSE EU |
2021 |
Redefining Clinical Data Flow at AstraZeneca [poster] |
Malgorzata (Gosia) Grabowska |
source
video |
1 |
| PHUSE EU |
2021 |
Software Demonstration: Unlocking Value from Structured Clinical Trial Data - Sponsored by Privacy Analytics [presentation] |
Thomasin Element |
source |
18 |
| PHUSE EU |
2021 |
Standard Implementation: Battling Through the Adversity of a Pandemic [presentation] |
Ana Arques,
Vicky Poulsen |
source
video |
18 |
| PHUSE EU |
2021 |
The Library Approach Driving EDC Set-up Efficiencies: A Case Study [presentation] |
Jan De Cleir |
source
video |
23 |
| PHUSE EU |
2021 |
Transforming Reporting - A Journey into Web Technology for Listing Generation [presentation] |
Joseph Rowley,
Kartik Rajan |
source
video |
23 |
| 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 |
Automated Validation of Clinical Trial Analysis and Reporting Deliverables Using 'testthat' [presentation] |
Amin Shirazi,
Jane X. Liao |
source
video |
35 |
| PHUSE US |
2021 |
Building an SCE that Users Want to Use [presentation] |
Alastair Scarlett,
Chris Decker |
source
video |
9 |
| PHUSE US |
2021 |
Changing How We Collect, Store, Manage, Transform and Analyze Clinical Data, One Microservice at a Time [presentation] |
Mark Bynens,
Paul Fioole |
source
video |
17 |
| PHUSE US |
2021 |
China Center for Drug Evaluation, NMPA Electronic Study Data Submission Requirements [presentation] |
Majdoub Haloui,
Yanhong Li |
source
video |
16 |
| PHUSE US |
2021 |
Commercially Confidential Information in clinical data publishing [presentation] |
Parvee Kumar |
source
video |
17 |
| PHUSE US |
2021 |
Integration of Translational and Longitudinal Clinical Trial Data Using Machine Learning to Gain Predictive Insights from Legacy Studies [poster] |
Arpitha Hanumanthiah,
Rajalaxmi Sharanappa |
source |
1 |
| PHUSE US |
2021 |
Leveraging Standard Analytics in Central Monitoring: The Good, The Bad, & The Ugly [presentation] |
Angela Geiger,
Arianna Galli |
source
video |
20 |
| PHUSE US |
2021 |
Open APIs and Open Source for Open Minds [presentation] |
Sven Prasse |
source
video |
19 |
| PHUSE US |
2021 |
Reflect and Get More Information Out of Data than Ever Before [poster] |
Catharina Dahlbo,
Eva Kelty |
source |
1 |
| PHUSE US |
2021 |
Regulatory Update & Townhall [presentation] |
Ethan Chen |
source |
28 |
| PHUSE US |
2021 |
Software Demonstration: SD08: entimICE FastTrack Next Generation Statistical Computing Environment [presentation] |
Jörn Bilow |
source |
17 |
| PHUSE US |
2021 |
Using Natural Language Processing to Create Subject Safety Narratives [presentation] |
Frank Meloni,
Tim Willittes |
source
video |
8 |
| PHUSE US |
2021 |
Visual Programming for ADaM Derivation [presentation] |
Clara Beck,
Robert Adams |
source
video |
33 |
| PharmaSUG |
2021 |
A Process to Validate Internal Developed R Package under Regulatory Environment |
Madhusudhan Ginnaram,
Amin Shirazi,
Simiao Ye,
Yalin Zhu,
Yilong Zhang |
source |
7 |
| PharmaSUG |
2021 |
Analysis and Reporting in Regulated Clinical Trial Environment using R |
Peikun Wu,
Uday Preetham Palukuru,
Yiwen Luo,
Sarad Nepal,
Yilong Zhang |
source |
11 |
| PharmaSUG |
2021 |
First Time Creating a Submission Package? Don-t Worry, We Got You Covered! |
Lyma Faroz |
source |
10 |
| PharmaSUG |
2021 |
Interactive Clinical Dashboards using R Studio |
Syam Prasad Chandrala,
Chaitanya Chowdagam |
source |
20 |
| PharmaSUG |
2021 |
Multiple Successful Submissions of Medical Device Clinical Trial Data in the US and China using CDISC |
Phil Hall,
Tikiri B. Karunasundera,
Subendra Maharjan,
Vijaya Vegesna |
source |
10 |
| PharmaSUG |
2021 |
New Requirements of Clinical Trial Data Submission for China Filing: An Implementation |
Yuan Yuan Dong,
Wang Zhang,
Lily Ling |
source |
5 |
| PharmaSUG |
2021 |
Preserving the Privacy of Participant's Data by Data Anonymization |
Chaithanya Velupam,
Kaushik Sundaram |
source |
10 |
| 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 |
Agile Software Development of R Shiny Programs with Open-source Tools [presentation] |
Sven Prasse |
source
video |
20 |
| PHUSE EU |
2020 |
AI-supported and Demand-oriented Data Integration of Clinical Studies [presentation] |
David Hipp,
Kai Spielmann |
source
video |
18 |
| PHUSE EU |
2020 |
Breaking Boundaries: Working Across Different Workspaces in LSAF |
Kai Wanke |
source
video
presentation source |
8 |
| PHUSE EU |
2020 |
Changing How We Collect, Store, Manage, Transform and Analyse Clinical Data, One Microservice at a Time [presentation] |
Mark Bynens,
Paul Fioole |
source
video |
16 |
| PHUSE EU |
2020 |
Controlled and FAIR Data Access with JDBC and Arrow Including Clinical Data [presentation] |
Ronald Steinhau |
source
video |
10 |
| PHUSE EU |
2020 |
Data Integrity & Standards in the Clinical Data Pipeline [presentation] |
Mark Wheeldon,
Raj Indupuri |
source
video |
30 |
| PHUSE EU |
2020 |
Digital Biomarkers Touch Down in Statistical Programming [presentation] |
Alexander Salzer,
Florian Wiese |
source
video |
23 |
| PHUSE EU |
2020 |
IDEO, an Idea for Interactive and Visual Representations of Oncology Summary Statistics |
Charlotte Cheinin |
source
video
presentation source |
5 |
| PHUSE EU |
2020 |
Implementing FAIR in OHDSI: Challenges and Opportunities in EHDEN [presentation] |
Tess Korthout |
source
video |
23 |
| PHUSE EU |
2020 |
Innovation in Exploratory/Regulatory Clinical Trial Analyses [presentation] |
Tadeusz Lewandowski |
source
video |
31 |
| PHUSE EU |
2020 |
Rise and Shine: Using R Shiny to explore insomnia clinical trial data |
Matthew Brierley |
source
video
presentation source |
6 |
| PHUSE EU |
2020 |
TidyCDISC: An Open-source Application to Interactively Create Tables, Figures and Patient Profiles from ADaM Data [presentation] |
Maya Gans,
Nate Mockler |
source
video |
21 |
| PHUSE EU |
2020 |
Understanding the Spread of COVID-19 in the United States Using Topology and Machine Learning for Time Series |
Iryna Kotenko,
Kostiantyn Drach |
source
video
presentation source |
32 |
| SGF |
2020 |
Metrics and Medical Writing - We Don't Just Count Words |
Daniel Augusto Muriel Ramirez,
Dominic De Bellis |
source |
12 |
| SGF |
2020 |
Statistical Programming in the Pharmaceutical Industry: Advancing and Accelerating Drug Development |
Harper Forbes |
source |
10 |
| PharmaSUG |
2020 |
A Novel Solution for Converting Case Report Form Data to SDTM using Configurable Transformations |
Sara Shoemaker,
Matthew Martin,
Robert Kleemann,
David Costanzo,
Tobin Stelling |
source |
12 |
| PharmaSUG |
2020 |
How to let Machine Learn Clinical Data Review as it can Support Reshaping the Future of Clinical Data Cleaning Process |
Mirai Kikawa,
Yuichi Nakajima |
source |
9 |
| PharmaSUG |
2020 |
Metadata-driven Modular Macro Design for SDTM and ADaM |
Ellen (Zihui) Lin,
Aditya Tella,
Yeshashwini Chenna,
Michael Hagendoorn |
source |
9 |
| PharmaSUG |
2020 |
Pinnacle 21 Community v3.0 - A Users Perspective |
Ajay Gupta |
source |
10 |
| PharmaSUG |
2020 |
Programming Patient Narratives Using Microsoft Word XML files |
Yuping Wu,
Jan Skowronski |
source |
9 |
| PharmaSUG |
2020 |
R for Clinical Reporting, Yes - Let's Explore it! |
Hao Meng,
Yating Gu,
Yeshashwini Chenna |
source |
16 |
| PharmaSUG |
2020 |
Standard Analyses and Code Sharing Working Group Update |
Nancy Brucken,
Dante Di Tommaso,
Jane E. Marrer,
Mary Nilsson,
Jared Slain,
Hanming Tu |
source |
5 |
| PharmaSUG |
2020 |
Successful US Submission of Medical Device Clinical Trial using CDISC |
Phil Hall |
source |
6 |
| PHUSE US |
2020 |
A Case Study: Data Transparency of Clinical Trial Data |
Sherry Meeh |
source
presentation source |
8 |
| PHUSE US |
2020 |
A Visualization approach for Clinical Trials with Digital Data |
Siddharth Kumar Lokineni |
source
presentation source |
6 |
| PHUSE US |
2020 |
Common Sense Tips for Weaving Governance into an MDR |
Kenneth Stoltzfus |
source
presentation source |
6 |
| PHUSE US |
2020 |
Custom Monitoring Solutions in R: How to Create Powerful Dashboards Using R Markdown |
Kelly O'Briant |
source |
5 |
| PHUSE US |
2020 |
Data Science Project (Educating for the Future Working Group) |
Aldir Medeiros Filho,
Sascha Ahrweiler |
source
presentation source |
10 |
| PHUSE US |
2020 |
Demystifying the Data World of Biobanks with Machine Learning |
Bob Engle,
Himanshu Pandya |
source
presentation source |
6 |
| PHUSE US |
2020 |
eSource Arising: Clinical Data Automation Possibilities Beyond Data Capture |
Sofie Stynen,
Annelies Van Zeveren |
source
presentation source |
8 |
| PHUSE US |
2020 |
Evolution of Clinical Data Disclosure and Transparency |
Sneha Paradkar |
source
presentation source |
8 |
| PHUSE US |
2020 |
Evolution of Data: From extraction to visualization |
Ashish Kumar |
source
presentation source |
11 |
| PHUSE US |
2020 |
Feedback to Feed Back |
Ankur Mathur,
Harper Forbes |
source
presentation source |
5 |
| 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 |
Machine Learning-AI is the Future - What Now? |
Priyanka Adusumilli,
Priyank Patel |
source
poster source |
8 |
| PHUSE US |
2020 |
Migrating to LSAF - The Danone Nutricia Research Journey |
Jean-Marc Ferran,
Paul Vervuren |
source
presentation source |
9 |
| PHUSE US |
2020 |
Mind the Gap: Raw Data Model |
Julie Smiley |
source
presentation source |
7 |
| PHUSE US |
2020 |
Natural Language Processing for Enhanced Treatment Decision |
Phani Ponnapalli,
Subrahmanyam Rayaprolu |
source
presentation source |
10 |
| PHUSE US |
2020 |
Quarterly Safety Reporting: Timely Analysis of Clinical Safety Data Using Qlik Sense Software |
Yvonne Denkins |
source
presentation source |
8 |
| PHUSE US |
2020 |
Regulatory Scrutiny on Data Integrity: Are You Safe? |
Chris Decker,
John Horton |
source
presentation source |
11 |
| PHUSE US |
2020 |
Standards Compliance - An Automated Way to Measure the Interoperability of Clinical Studies |
Rammprasad Ganapathy |
source
presentation source |
6 |
| PHUSE US |
2020 |
Using Graph Technology for Metadata-driven Clinical Development |
Frederik Malfait |
source |
6 |
| PHUSE US |
2020 |
Virtual Assistant for Conversational Experience with Clinical Data |
Amit Gulwadi,
Srinivasan Anandakumar |
source |
6 |
| PHUSE EU |
2019 |
A Data-driven and cost-effective approach towards Risk Based Monitoring |
Vineet Jain |
source
presentation source |
7 |
| PHUSE EU |
2019 |
Addressing the Gap in Data Standards: Introducing the Aggregation Layer |
Claudio Garutti,
Marko Bomyer |
source
presentation source |
11 |
| PHUSE EU |
2019 |
ADSL - Friend or Foe? |
Jørgen Mangor Iversen |
source
presentation source |
8 |
| PHUSE EU |
2019 |
Building a F.A.I.R. Foundation for Pharma: The PHUSE GoingTWLD Project |
Tim P. Williams,
Armando Oliva |
source
presentation source |
5 |
| PHUSE EU |
2019 |
Clearing the Fog Surrounding LOINC |
Jordan Bristow |
source
presentation source |
7 |
| PHUSE EU |
2019 |
Early experiences using SDTM to organize clinical data collected using a physical activity tracker |
Martin Gram,
Gianluca Mortari |
source
presentation source |
13 |
| PHUSE EU |
2019 |
Educating for the Future: Data Engineering Techniques |
Guy R. Garrett |
source
presentation source |
10 |
| PHUSE EU |
2019 |
End-to-end SDTM Automation: A Metadata-centric Approach (winner) |
Roman Radelicki |
source
presentation source |
12 |
| PHUSE EU |
2019 |
FAIR Data Standards in the GDSR |
Huw Mason |
source
poster source |
4 |
| PHUSE EU |
2019 |
Harmonising SDTM at the Source: Two Years Later |
Helen Scanlon,
Sue Huxtable |
source
presentation source |
11 |
| PHUSE EU |
2019 |
Janssen Autism Knowledge Engine (JAKE) System in Autism Spectrum Disorder |
Sarah Bonneux |
source
poster source |
3 |
| PHUSE EU |
2019 |
Migrating to LSAF - Danone Nutricia Research's Journey |
Paul Vervuren,
Jean-Marc Ferran |
source
presentation source |
9 |
| PHUSE EU |
2019 |
Mistakes Managers Make While Managing Data Scientists that You Will Want to Identify and Prevent |
James R. Johnson |
source
presentation source |
7 |
| PHUSE EU |
2019 |
Oracle Analytics Cloud |
Mike Collinson |
source
presentation source |
8 |
| PHUSE EU |
2019 |
Processing big data from multiple sources |
Berber Snoeijer |
source
presentation source |
5 |
| PHUSE EU |
2019 |
Semi Auto-generated Narratives |
Bjarke Klein |
source
presentation source |
7 |
| PHUSE EU |
2019 |
Sub-population Detection Using Graph-based Machine Learning |
Sergey Glushakov,
Kostiantyn Drach |
source |
28 |
| 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 |
| PharmaSUG |
2019 |
An Automated, Metadata Approach to Electronic Dataset Submissions |
Janette Garner |
source |
8 |
| PharmaSUG |
2019 |
Artificial Intelligence and Real World Evidence - it takes two to tango |
Charan Kumar Kuyyamudira Janardhana |
source |
9 |
| PharmaSUG |
2019 |
China NMPA (National Medical Products Administration) reform and new regulations/guidelines/requirements |
Yi Yang |
source |
11 |
| PharmaSUG |
2019 |
Common Pinnacle 21 Report Issues: Shall we Document or Fix? |
Ajay Gupta |
source |
11 |
| PharmaSUG |
2019 |
Create Interactive Data Visualizations for Clinical Data Review Using Base SAS and Javascript |
Raj Kiran Boddu |
source |
12 |
| PharmaSUG |
2019 |
Enforcing Standards in an Organization: A Practical 6 Step-Approach |
Priscilla Gathoni,
Dany Guerendo Christian |
source |
9 |
| PharmaSUG |
2019 |
Improving the Relationship between Statisticians and Programmers in Clinical Trial Studies |
Mai Ngo,
Mary Grovesteen,
Vaughn Eason |
source |
8 |
| PharmaSUG |
2019 |
Merging Sensor Data with Patient Records in Clinical Trials - Systems and Benefits |
Surabhi Dutta,
Shubhranshu Dutta |
source |
9 |
| PharmaSUG |
2019 |
Multiple Studies BIMO Submission Package - A Programmer's Perspective |
Ramanjulu Valluru,
Harsha Dyavappa |
source |
17 |
| PharmaSUG |
2019 |
Next Innovation in Pharma - CDISC data and Machine Learning |
Kevin Lee |
source |
5 |
| PharmaSUG |
2019 |
Non-Clinical (SEND) Reference Guide for Clinical (SDTM) Programmers |
Dharmendra Tirumalasetti,
Bhavin Busa |
source |
6 |
| PharmaSUG |
2019 |
Performing Analytics on Free-Text Data Fields: A Programer-s Wurst Nitemare |
Michael S Rimler,
Matt Pitlyk |
source |
18 |
| 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 |
Raw data sets tracker: Time and project management based on the volume of available clinical data using SAS software |
Girish Kankipati |
source |
10 |
| PharmaSUG |
2019 |
SAS V9.4 MNAR statement for multiple imputations for missing not at random in longitudinal clinical trials |
Lingling Li |
source |
11 |
| PharmaSUG |
2019 |
Strategy to Evaluate the Quality of Clinical Data from CROs |
Charley Z. Wu |
source |
7 |
| PharmaSUG |
2019 |
The Need for Therapeutic Area User Guide Implementation |
Michael Beers |
source |
8 |
| SGF |
2019 |
Using PROC SQL to Generate Shift Tables More Efficiently |
Jenna Cody |
source |
9 |
| PHUSE US |
2019 |
Achieving Data Integrity in Clinical Trials Utilizing Blockchain Technology |
Premanand Kumaravel |
source
poster source |
5 |
| PHUSE US |
2019 |
An Open Clinical Data Quality Framework |
Vineet Jain |
source
presentation source |
11 |
| PHUSE US |
2019 |
CDISC Blue Ribbon Commission Update to Our Community |
David Bobbitt |
source
presentation source |
4 |
| 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 |
End-to-End SDTM Automation: A Metadata-centric Approach |
Roman Radelicki,
Swapna Pothula |
source
presentation source |
12 |
| PHUSE US |
2019 |
Interactive Exploratory Analysis and Visualization for Late-phase Clinical Data |
Sheng-Wei Wang,
Casey Yang |
source
presentation source |
9 |
| PHUSE US |
2019 |
Making the Case for Metadata Development |
Mike Molter |
source
presentation source |
7 |
| PHUSE US |
2019 |
Maximizing the Use of Patient Data Warehouse via Visual Analytics |
Sandy Lei,
Simon Alex |
source
presentation source |
7 |
| PHUSE US |
2019 |
Next Generation Data Management: Case Studies for Ontology-driven Graph Databases |
Jim Lapointe |
source
presentation source |
8 |
| PHUSE US |
2019 |
Organize and Report Your Clinical Data Today! |
Michael Litzsinger |
source
presentation source |
7 |
| PHUSE US |
2019 |
Proof of Concept (PoC) Development of Safety Visual Analytics (SVA) Using R Shiny and SAS |
Rinki Jajoo |
source
presentation source |
9 |
| PHUSE US |
2019 |
R Markdown for Reproducible Research |
Cole Arendt |
source
presentation source |
15 |
| PHUSE US |
2019 |
Statistical Models of Risk Flux Reveal Dynamics of RBM-managed Clinical Trials |
Michael Farnum |
source
presentation source |
12 |
| PHUSE US |
2019 |
Streamline Process: To Generate SDTM Programs by Automation |
Hemalatha Elumalai |
source
poster source |
8 |
| PHUSE US |
2019 |
The Clinical Data Specialist Role Within Regulatory Review |
Rui Li,
Joy Li |
source
presentation source |
3 |
| PHUSE US |
2019 |
The EMA, Health Canada and the FDA: Three Agencies Tackle Data Sharing, Synergies and Differences |
Jean-Marc Ferran |
source
presentation source |
19 |
| PHUSE US |
2019 |
The Need for Therapeutic Area User Guide Implementation |
Michael Beers |
source
presentation source |
7 |
| PHUSE US |
2019 |
The Power of Sharing Clinical Data: Real Projects with Real Impacts |
David Handelsman |
source
presentation source |
6 |
| PHUSE US |
2019 |
Today's Standards Governance: Getting a Boost from Leveraging an MDR |
Kenneth Stoltzfus |
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 |
ValueListDefs, MethodDefs and WhereClauses: How to Define Data Traceability in a Metadata Repository |
Judith Goud |
source
presentation source |
11 |
| PHUSE US |
2019 |
Voice-based Clinical Monitoring Assistant |
Anoop Ambika |
source
presentation source |
7 |
| SCSUG |
2018 |
Standardisation of clinical laboratory data using SAS |
Laxmi Samhitha Bontha |
source |
4 |
| PHUSE EU |
2018 |
A Learned Approach to CDISC Specifications |
Stephen M. Noga,
Brandon L. Welch,
Jeffrey M. Abolafia |
source
presentation source |
9 |
| PHUSE EU |
2018 |
A Proprietary CDASH/SDTM-hybrid Data Model to Expedite Clinical Data Review |
Lieke Gijsbers,
Tom Van Der Spiegel |
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 |
Automated Creation of Submission-Ready Artifacts [presentation] |
Silas McKee,
Lourdes Devenney |
source |
15 |
| PHUSE EU |
2018 |
Central Statistical Surveillance in Clinical Trials |
Kris Lauwers,
Giordano Lo Regio |
source
presentation source |
2 |
| PHUSE EU |
2018 |
Collaborative Working Groups - Why You Should Take Part! |
Beate Hientzsch |
source
presentation source |
5 |
| 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 |
eSource to SDTM: Trade-offs and Pay-offs |
Donald Benoot,
Swapna Pothula |
source
presentation source |
11 |
| PHUSE EU |
2018 |
Handling Missing Data in Clinical Trials Using Topological Data Analysis |
Sergey Glushakov,
Andrey Rekalo |
source
presentation source |
10 |
| PHUSE EU |
2018 |
How to Easily Generate Define.pdf from Define-XML - Submission Request |
Ralf Goetzelmann,
Endri Elnadav |
source
presentation source |
5 |
| PHUSE EU |
2018 |
iGET it! Downloading Data from a Centralised Repository Using PROC HTTP |
Neville Cope |
source
presentation source |
7 |
| PHUSE EU |
2018 |
Lessons Learned for Successful e-Study Data Submission to the PMDA towards the End of the Transitional Period |
Takashi Kitahara,
Ayako Noda |
source
presentation source |
12 |
| PHUSE EU |
2018 |
New Approach to Graph Databases |
Catharina Dahlbo,
Anna Berg |
source
poster source |
9 |
| PHUSE EU |
2018 |
Robust Test Data |
Jennie McGuirk,
Ramesh Ayyappath |
source
poster source |
3 |
| 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 |
The EMA, Health Canada and the FDA: Three Agencies Tackle Data Sharing, Synergies and Differences |
Jean-Marc Ferran |
source
presentation source |
13 |
| PHUSE EU |
2018 |
The Generation Game - The X, Y and Z of Line Managing Clinical Data Scientists |
Diana Stuart |
source
presentation source |
5 |
| 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 |
| PHUSE EU |
2018 |
ValueListDefs, MethodDefs and WhereClauses: How to Define Data Traceability in a Metadata Repository |
Judith Goud |
source
presentation source |
11 |
| SESUG |
2018 |
Hardcoding In Clinical Trials: A (Sometimes) Necessary Evil |
Gregory Weller |
source |
5 |
| SESUG |
2018 |
Using PROC SQL to Generate Shift Tables More Efficiently |
Jenna Cody |
source |
8 |
| MWSUG |
2018 |
Toward Adoption of Agile Software Development in Clinical Trials |
Troy Martin Hughes |
|
7 |
| PHUSE US |
2018 |
A Successful Meta-Data Repository (MDR): It's About Managing Relationships |
Philip Giangiulio,
Melanie A. Paules |
source
presentation source |
7 |
| PHUSE US |
2018 |
Assuring Data Integrity and Data Quality in Sponsor Submissions |
Paul Schuette |
source
presentation source |
5 |
| PHUSE US |
2018 |
Augmented Realtime Clinical DataMart |
Phani Shankar Srinivasan,
Subrahmanyam Rayaprolu |
source
presentation source |
7 |
| PHUSE US |
2018 |
Benefits of a Rapidly Growing Library of Clinically Relevant Visualization Templates/Patterns |
Eric Herbel |
source
presentation source |
4 |
| PHUSE US |
2018 |
Clinical Timelines Visualized |
Spencer Childress,
Jeremy Wildfire |
source
presentation source |
6 |
| PHUSE US |
2018 |
Commissioning a MDR System: Next-generation of Standards implementation |
Abhinav Jain |
source
presentation source |
6 |
| PHUSE US |
2018 |
Common Define.xml File Issues Seen During FDA's JumpStart Service |
Peter Glass,
Caitlin Anderson,
Margo Cohen,
Kathryn Matto,
Austin Taylor,
Sergiy Sirichenko,
Max Kanevsky,
Michael Beers,
Mary Doi,
Alan Shapiro,
Barbara Witczak,
Jesse Anderson |
source
poster source |
5 |
| PHUSE US |
2018 |
CRF Design for Data Standards |
David A. Scocca |
source
presentation source |
4 |
| PHUSE US |
2018 |
Harnessing Real-time Patient Data to Improve Clinical Outcomes and Research |
Himanshu Pandya,
Bob Engle |
source
presentation source |
4 |
| PHUSE US |
2018 |
How do I have ONE Interpretation of CDISC for all my Studies? |
Mor Meyerovich |
source
presentation source |
5 |
| PHUSE US |
2018 |
Increase Quality and Reduce SDTM Development Time with a Test Study Data Simulator |
Sasikumar Palanisamy,
Bhaskar Subramanian |
source |
4 |
| PHUSE US |
2018 |
Integrating Externally Acquired Data Into Standard Workflows |
Nate Mockler,
Saranya Duraisamy |
source
presentation source |
4 |
| PHUSE US |
2018 |
PowerDataExplorer - Data Exploration in an All-In-One Dynamic Report Using SAS & EXCEL |
Harry Chen,
Lisa Lyons |
source
presentation source |
8 |
| PHUSE US |
2018 |
Ready Set Go: Planning and Preparing a CDISC Submission |
Maria Dalton |
source
presentation source |
11 |
| PHUSE US |
2018 |
SDTM and SEND: An Integrated View and Approach |
Veena Nataraj,
Cheryl Riel |
source
presentation source |
11 |
| PHUSE US |
2018 |
Standard Analyses and Displays for Common Data in Clinical Trials - The Journey Continues! [poster] |
Nhi Beasley |
source |
1 |
| PHUSE US |
2018 |
Transforming Clinical Trials with Linked Data |
Tim P. Williams,
Armando Oliva |
source
presentation source |
9 |
| PHUSE US |
2018 |
Updates from the EMA Technical Anonymization Group & Policy 0070 |
Cathal Gallagher,
Chris Decker |
source |
4 |
| 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 |
| PharmaSUG |
2018 |
A Conceptual Strategy and Macro Approach for Partial Date Handling in Data De-Identification |
Amy Caison,
Kelsey Reppert |
source |
8 |
| PharmaSUG |
2018 |
A Framework for Implementing [Conflicting] FDA Guidance |
Todd Case |
source |
6 |
| PharmaSUG |
2018 |
Automate Clinical Trial Data Issue Checking and Tracking |
Krishna Avula,
Dale LeSueur |
source |
5 |
| PharmaSUG |
2018 |
Challenges & Strategies in PKPD Programming |
Jing Su,
Jiannan Kang |
source |
6 |
| 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 |
SDTM EX and EC: Considerations When Submitting Exposure Data |
Jerry Salyers,
Kristin Kelly |
source |
8 |
| PharmaSUG |
2018 |
SDTMs in a Medical Device Trial - A First Attempt |
Phil Hall |
source |
6 |
| PharmaSUG |
2018 |
Statistician in my Soul. Statistical Questions from SPA |
Nadiia Hryhorenko |
source |
12 |
| PharmaSUG |
2018 |
Watch Out For Blind Spots While Keeping Up With the Speed of Evolving Standards and Regulations |
Srinivas Veeragoni |
source |
14 |
| PharmaSUG |
2018 |
Why organizations need MDR systems to manage metadata? |
Abhinav Jain |
source |
7 |
| SESUG |
2017 |
An Introduction to Visit Window Challenges and Solutions |
Mai Ngo |
source |
6 |
| SESUG |
2017 |
Timing Variables In Clinical Trials: Avoiding Common Mistakes And Dealing With Unforeseen Issues |
Gregory Weller |
source |
4 |
| PHUSE EU |
2017 |
Ahead of the Curve: Leading with Industry Data Requirements |
Nancy Haeusser |
source
presentation source |
8 |
| PHUSE EU |
2017 |
Anonymisation of Clinical Study Reports |
Julie De Wever,
Marie-Anne Thil |
source
presentation source |
6 |
| PHUSE EU |
2017 |
Approach to EMA Policy 0070 - From Data Science Perspective |
Jorine Putter |
source
presentation source |
6 |
| PHUSE EU |
2017 |
Assessing New CFDA Requirements on Data Integrity Using Risk-Based Monitoring and Enrollment Patterns |
Wenjun Bao,
Richard C. Zink,
Geoffrey A. Mann |
source
presentation source |
13 |
| PHUSE EU |
2017 |
Automated Anonymisation of Protected Personal Data in Clinical Reports |
Azad Dehghan,
Cathal Gallagher |
source
presentation source |
5 |
| PHUSE EU |
2017 |
Breaking the Mould: Clinical Trials Data as RDF |
Tim P. Williams,
Armando Oliva |
source
presentation source |
6 |
| PHUSE EU |
2017 |
Can Everyone Can Read Maps! Plotting Your Career Path and Preparing for the Terrain |
Diana Stuart |
source
presentation source |
6 |
| PHUSE EU |
2017 |
CDISC Transport Standards - A Glance |
Edwin Ponraj Thangarajan,
Giri Balasubramanian |
source
presentation source |
14 |
| PHUSE EU |
2017 |
Central Statistical Monitoring |
Tammy McIver |
source
presentation source |
7 |
| PHUSE EU |
2017 |
Cross Functional Standards Governance for Pharma |
Warwick Benger |
source
presentation source |
6 |
| PHUSE EU |
2017 |
Cross Functional Standards Governance for Pharma |
Sheetal Patel,
Warwick Benger |
source
presentation source |
6 |
| PHUSE EU |
2017 |
Dipping our Fingers into the World of Data Representation - A Visual Journey Using Encapsia Clinica |
Minola Ilica |
source
presentation source |
4 |
| PHUSE EU |
2017 |
EMA Policy 0070: Data Utility in Anonymized Clinical Study Reports (CSRs) |
Jean-Marc Ferran,
Sarah Nevitt |
source |
23 |
| PHUSE EU |
2017 |
How a Metadata Repository can Facilitate Automated Data Collection Processes |
Judith Goud |
source
presentation source |
8 |
| PHUSE EU |
2017 |
I Want It All and I Want it Now - Finding What You are Looking For .... Fast! |
Jörn Bilow |
source
presentation source |
2 |
| PHUSE EU |
2017 |
Interactive Oncology Tumour Dashboard |
Félix Jaminion |
source |
2 |
| PHUSE EU |
2017 |
REACTing to Data: The Use of Data Visualisation within Early Clinical StatisticalProgramming at AstraZeneca |
Shyamprasad Perisetla,
Suzanne Tautz |
source
presentation source |
6 |
| PHUSE EU |
2017 |
Robust Study Database Build: An Effective Start Towards Creation of Quality SDTMs |
Onkar Tajarekar |
source
presentation source |
9 |
| PHUSE EU |
2017 |
SDTM Domains by Query - is it Possible? |
Johannes Ulander |
source
presentation source |
8 |
| PHUSE EU |
2017 |
SDTM-ADaM Hybrid: Supermodel or Frankenstein? |
Kenneth Stoltzfus |
source
presentation source |
8 |
| PHUSE EU |
2017 |
Topology-based Clinical Data Mining: Identifying Hidden Patterns in Clinical Datasets |
Sergey Glushakov |
source
presentation source |
18 |
| PHUSE EU |
2017 |
Visualising CDSIC SDTM for Monitoring and Review |
Philip Bartle |
source
presentation source |
11 |
| WUSS |
2017 |
A SAS Format Catalog for ICD-9/ICD-10 Diagnoses and Procedures: Data Research Example and Custom Reporting Example |
Robert Springborn |
source |
37 |
| WUSS |
2017 |
SDTMs in a Medical Device Trial - A First Attempt |
Phil Hall |
source |
5 |
| PharmaSUG CN |
2017 |
Overview of OSI Deliverables from Programming Perspective |
Wang Zhang |
|
6 |
| PharmaSUG CN |
2017 |
Strip Special & Non-Printable Characters in Your Data Set |
Ying Liu |
|
6 |
| PharmaSUG |
2017 |
Ahead of the Curve: Leading with Industry Data Requirements |
Maria Dalton,
Nancy Haeusser |
source |
17 |
| PharmaSUG |
2017 |
Analyzing data from multiple clinical trials using SAS Real World Evidence |
Jay Paulson,
David Olaleye |
source |
13 |
| PharmaSUG |
2017 |
Awareness from Electronic Data Submission to PMDA and FDA -- Lesson & Learnt from hands-on experiences -- |
Yuichi Nakajima,
Takashi Kitahara,
Ryan Hara |
source |
12 |
| PharmaSUG |
2017 |
Building a Fast Track for CDISC: Practical Ways to Support Consistent, Fast and Efficient SDTM Delivery |
Steven R. Kirby,
Mario Widel,
Richard Addy |
source |
14 |
| PharmaSUG |
2017 |
Clarifications About ADaM Implementation Provided in ADaMIG Version 1.1 |
John K. Troxell |
source |
5 |
| PharmaSUG |
2017 |
Clinical Trials Data: It-s a Scary World Out There! or Code that Helps You Sleep at Night |
Scott Horton |
source |
10 |
| PharmaSUG |
2017 |
Data Transparency, de-identification strategies, and platforms available for sharing data |
Arun Raj Vidhyadharan,
Sunil Mohan Jairath |
source |
10 |
| PharmaSUG |
2017 |
Implementation of STDM Pharmacogenomics/Genetics Domains on Genetic Variation Data |
Linghui Zhang |
source |
12 |
| PharmaSUG |
2017 |
Let-s Check Data Integrity Using Statistical (SAS) Programmers with SAS |
Harivardhan Jampala |
source |
17 |
| PharmaSUG |
2017 |
RELREC - SDTM Programmer-s Bermuda Triangle |
Charumathy Sreeraman |
source |
12 |
| PharmaSUG |
2017 |
SDTM Cartography - Learn To Create SDTM Mapping Specifications |
Donna Sattler,
Mike Lozano |
source |
7 |
| PharmaSUG |
2017 |
The Do-s/Don-ts, An SDTM Validation Perspective. The should/shouldn-t when explaining issues in the Study Data Reviewers Guide |
Thomas Guinter |
source |
8 |
| 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 |
Work with me here-(or there or anywhere): Practical Cloud Collaboration with JMP Clinical for Clinical Trial Data Reviews |
Kelci J. Miclaus,
Drew Foglia |
source |
14 |
| PHUSE EU |
2016 |
A Standardised Approach to De-identification |
Christopher C. Hurley |
source
presentation source |
13 |
| PHUSE EU |
2016 |
Automating Frequency Tables with ClinXport SAS Macro Package |
Loizos Nicolaou |
source
presentation source |
6 |
| PHUSE EU |
2016 |
Blur Software Demonstration |
Cathal Gallagher |
source
presentation source |
3 |
| PHUSE EU |
2016 |
Calculating the Risk of Re-identification of Patient-level Data Using a Quantitative Approach |
Lukas Kniola |
source
presentation source |
9 |
| PHUSE EU |
2016 |
Challenges and Opportunities with the Implementation of a Single-instance Cloud Research Platform |
Doug Bain |
source
presentation source |
16 |
| PHUSE EU |
2016 |
Constructing a Clinical Data Warehouse for Nutrition Studies [presentation] |
Paul Vervuren |
source |
27 |
| PHUSE EU |
2016 |
Data Sharing 3 Years on - From Baby to Toddler... |
Katherine Tucker |
source
presentation source |
10 |
| PHUSE EU |
2016 |
Developing MDR Metadata Requirements for Operational Implementation |
Andy Richardson,
Scott A. Bahlavooni |
source
presentation source |
5 |
| PHUSE EU |
2016 |
Efficiency comes From Reusability and Repeatability |
Hanming Tu,
Dave Evans |
source
presentation source |
10 |
| PHUSE EU |
2016 |
encapsia - Providing Real-time, Interactive Visualisations of Clinical Data [presentation] |
Jon Carter |
source |
9 |
| PHUSE EU |
2016 |
End-to-end Data and Metadata: It's Not Only a Dream, It's a Reality |
Gerald Neveu |
source |
6 |
| PHUSE EU |
2016 |
Get Kitted Out - A Practical Guide to SAS Certifications, MOOCs and Hands-on Experience |
Hannes Engberg Raeder |
source |
6 |
| PHUSE EU |
2016 |
How to Handle Different Versions of SDTM & Define Generation in a Single Day |
Edwin Ponraj Thangarajan,
Giri Balasubramanian |
source
presentation source |
22 |
| PHUSE EU |
2016 |
Interactive Visualisation of Linked Data |
Tim P. Williams |
source
presentation source |
8 |
| PHUSE EU |
2016 |
Japanese Electronic Submission in CDISC Formats |
Takashi Kitahara |
source
presentation source |
8 |
| PHUSE EU |
2016 |
KeyDan - A Data Anonymisation Tool |
Cathy Scoupe,
Stéphane Chollet |
source
presentation source |
6 |
| PHUSE EU |
2016 |
Metadata on the Go: Achieving Metadata Accuracy and Consistency Continually |
Swapna Pothula |
source
presentation source |
6 |
| PHUSE EU |
2016 |
Non-printable and Special Characters? BYTE Me! |
Louise Sims |
source
presentation source |
12 |
| PHUSE EU |
2016 |
Reflections on the Effects of Data Pooling |
Catharina Dahlbo |
source
presentation source |
4 |
| PHUSE EU |
2016 |
The Hardships of Finding your Way in Biometrics |
Evi Creebsburg |
source |
4 |
| PHUSE EU |
2016 |
The Playbook: Real-world Data to Real-world Intelligence |
Laurie Rose,
S. Robert Collins |
source
presentation source |
7 |
| PHUSE EU |
2016 |
Understanding the Potential of Share: A Visual Business Case and Technical Use Case |
Peter Van Reusel |
source
presentation source |
4 |
| MWSUG |
2016 |
Read html files and create standard tables for BISR at KUMC |
Chuanwu Zhang,
John Keighley,
Byron J. Gajewski |
|
7 |
| PharmaSUG |
2016 |
-The car is in the shop but where are the mechanics?- The future of Standard Scripts for Analysis and Reporting |
Dirk Spruck,
Jeanina M. Worden |
source |
3 |
| PharmaSUG |
2016 |
An Intersection of Pharma and Medical Devices - Development of Companion Diagnostics in Conjunction with Targeted Therapies |
Carey G. Smoak |
source |
4 |
| PharmaSUG |
2016 |
Data Visualization for Quality Control in NONMEM Data set |
Linghui Zhang |
source |
9 |
| PharmaSUG |
2016 |
Empowering Users By Creating Data Visualization Applications In R/Shiny |
Sudhir Singh,
Brian Munneke,
Amulya R. Bista,
Jeff Cai |
source |
8 |
| PharmaSUG |
2016 |
Enhanced OpenCDISC Validator Report for Quick Quality Review |
Ajay Gupta |
source |
12 |
| PharmaSUG |
2016 |
Four "Oops" Moments While Using Electronic Health Records to Identify a Cohort of Medication Users |
Steve Ezzy |
source |
5 |
| PharmaSUG |
2016 |
Introduction of Semantic Technology for SAS programmers |
Kevin Lee |
source |
15 |
| PharmaSUG |
2016 |
Meaningful Presentation of Clinical Trial Data with Multiple Y-Axes Graph |
Mina Chen |
source |
5 |
| PharmaSUG |
2016 |
Preparing Legacy Format Data for Submission to the FDA - When & Why Must I Do It, What Guidance Should I Follow? |
David C. Izard |
source |
11 |
| PharmaSUG |
2016 |
Standards Implementation & Governance: Carrot or Stick? |
Julie Smiley,
Judith Goud |
source |
6 |
| PharmaSUG |
2016 |
The Standard for the Exchange of Nonclinical Data (SEND): History, Basics, and Comparisons with Clinical Data |
Fred Wood |
source |
10 |
| SGF |
2016 |
Careers in Biotatistics and Clinical SAS Programming: An Overview for the Uninitiated |
Justina M. Flavin |
source |
5 |
| SGF |
2016 |
PROC IMSTAT Boosts Knowledge Discovery in Big-Database (KDBD) in a Pharmaceutical Company |
Yoshitake Kitanishi,
Ryo Kiguchi,
Akio Tsuji,
Hideaki Watanabe |
source |
7 |
| SGF |
2016 |
Strategies for Developing and Delivering an Effective Online SAS Programming Course |
Justina M. Flavin |
source |
11 |
| PHUSE EU |
2015 |
'Dude. Where's My Graph?' RDF Data Cubes for Clinical Trial Data |
Tim P. Williams,
Marc Andersen |
source
presentation source |
7 |
| PHUSE EU |
2015 |
A Lot More than Patient Data |
Nigel Montgomery,
Satyapal Gudla |
source
presentation source |
12 |
| PHUSE EU |
2015 |
A Model for Reviewing the Operational Implementation of the CDISC Standards |
Andy Richardson |
source
presentation source |
7 |
| PHUSE EU |
2015 |
Access to CDISC SHARE Metadata: A La Cate, Prix Fixe or Table d'Horte? |
Kenneth Stoltzfus |
source
presentation source |
9 |
| PHUSE EU |
2015 |
AstraZeneca Clinical Trial Transparency and External Sharing of Individual Patient-level Data |
Natalie Andrews |
source
presentation source |
3 |
| PHUSE EU |
2015 |
Automated generation of program templates with metadata based specification documents for integrated analysis |
Thomas Wollseifen |
source
presentation source |
11 |
| PHUSE EU |
2015 |
CodEX - When Excel Meets SAS to Code Clinical Data |
Stéphane Chollet,
Cathy Scoupe |
source
presentation source |
8 |
| PHUSE EU |
2015 |
Concept and Implementation of an Efficient Version Control System for SAS Programs in Clinical Development |
Dirk Spruck,
Matthias Post |
source
presentation source |
8 |
| PHUSE EU |
2015 |
Data De-identification: Balancing Patient Privacy, Data Utility and Good Programming Practices |
Jon Davidson,
David Handelsman |
source
presentation source |
5 |
| PHUSE EU |
2015 |
Data Scientist - What It Is (Not) |
Michaela Jahn |
source
presentation source |
4 |
| PHUSE EU |
2015 |
Data-centric System Development Life Cycle for Automated Clinical Data Development Systems |
Kevin Lee |
source
presentation source |
5 |
| PHUSE EU |
2015 |
De-Id: 'The What' and 'The How' of de-identifying your Clinical Trial Data |
Gavin Winpenny,
Stephen Bamford |
source
presentation source |
11 |
| PHUSE EU |
2015 |
Efficient Data Reviews and Quality in Clinical Trials Using CDISC Data Standards |
Valérie Nedbal |
source |
11 |
| PHUSE EU |
2015 |
Empowering Users with Automated Data Conformance Solution Utilities |
Michael Whitworth,
Jonathan Burr |
source
presentation source |
2 |
| PHUSE EU |
2015 |
FDA Review Principles Applied to CRO Oversight |
Sascha Ahrweiler,
Grace Ignacio |
source
presentation source |
7 |
| PHUSE EU |
2015 |
Finding your Data Faster by Combing Content and Metadata Search |
Jórn Billow |
source
presentation source |
4 |
| PHUSE EU |
2015 |
Flexible Solutions for Insight and Data-driven Innovation |
Catharina Dahblo |
source
presentation source |
6 |
| PHUSE EU |
2015 |
From Data to Knowledge: Semantics and Implementations |
Judith Goud,
Julie Smiley |
source
presentation source |
5 |
| PHUSE EU |
2015 |
Good Programming Practice at a Glance [presentation] |
Mark Foxwell,
Beate Hientszch |
source |
1 |
| PHUSE EU |
2015 |
How a Clinical Data Repository can Support Pharmacovigilance |
Panteleo Nacci |
source
presentation source |
7 |
| PHUSE EU |
2015 |
Metadata-driven - Yet Another Cliche in our Industry |
Chris Decker,
Ian Fleming |
source
presentation source |
3 |
| PHUSE EU |
2015 |
Programming Strategically for PK/PD Data |
Grace Lu |
source
presentation source |
8 |
| PHUSE EU |
2015 |
Slim Down Your Data |
Mickael Borne |
source
presentation source |
10 |
| PHUSE EU |
2015 |
Study Anonymisation: From Request to Delivery |
Kelly Mewes,
Sai Jandhyala |
source
presentation source |
11 |
| 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 |
Working as a Data Scientist with Real-world Clinical Data |
Berber Snoeijer |
source
presentation source |
2 |
| SESUG |
2015 |
A Health Analytics Framework |
Krisa Tailor,
Jeremy Racine |
source |
10 |
| WUSS |
2015 |
A Risk Factor Coding Custom Report Created With ODS Report Writing Interface With Recent Literature and Peer Review |
Robert Springborn |
source |
13 |
| WUSS |
2015 |
Set Yourself Free - Use ODS Report Writing Technology in SAS Enterprise Guide Instead of Dynamic Data Exchange in PC SAS Part II SAS Code Revealed |
Robert Springborn |
source |
20 |
| PharmaSUG CN |
2015 |
Handling multiple y axes using SAS Graphs |
Mina Chen,
Peter W. Eberhardt |
|
5 |
| PharmaSUG CN |
2015 |
How to validate clinical data more efficiently with SAS Clinical Standards Toolkit |
Vivian Feng |
|
11 |
| PharmaSUG CN |
2015 |
SAS End-to-End solutions in Clinical Trial |
Emma Liu |
|
17 |
| PharmaSUG |
2015 |
Accelerate define.xml generation using defineReady |
Senthilkumar Karuppiah,
Georgina Wood |
source |
4 |
| PharmaSUG |
2015 |
Begin with the End in Mind - Using FDA Guidance Documents as Guideposts when Planning, Delivering and Archiving Clinical Trials |
David C. Izard |
source |
12 |
| PharmaSUG |
2015 |
Improving Data Quality - Missing Data Can Be Your Friend! |
Julie Chen |
source |
12 |
| PharmaSUG |
2015 |
Now You See It, Now You Don't - Using SAS to De-Identify Data to Support Clinical Trial Data Transparency |
David Handelsman |
source |
7 |
| PharmaSUG |
2015 |
OSI Packages: What you need to know for your next NDA or BLA Submission |
Thaddea Dreyer,
Tatiana Scetinina |
source |
10 |
| PharmaSUG |
2015 |
Patient Profiles and SAS Visual Analytics |
Pritesh Desai,
S. Robert Collins |
source |
9 |
| PharmaSUG |
2015 |
The 5 Most Important Clinical SAS Programming Validation Steps |
Brian C. Shilling |
source |
6 |
| 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 |
Use of SAS Reports for External Vendor Data Reconciliation |
Soujanya Konda |
source |
12 |
| SGF |
2015 |
Data Management Techniques for Complex Healthcare Data |
Gabriela Cantu,
Christopher Klekar |
source |
14 |
| SGF |
2015 |
Establishing a Health Analytics Framework |
Krisa Tailor,
Jeremy Racine |
source |
10 |
| SGF |
2015 |
Visualizing Clinical Trial Data: Small Data, Big Insights |
Michael Drutar,
Elliot Inman |
source |
18 |
| PHUSE EU |
2014 |
A New Era: Open Access to Clinical Trial Data [presentation] |
Guillaume Breton |
source |
21 |
| PHUSE EU |
2014 |
Clinical Study Data Processes @ LEO Pharma |
Joergen Iversen |
source
presentation source |
4 |
| PHUSE EU |
2014 |
Considerations in Creating Transparent SDTM-Based Datasets |
Jerry Salyers,
Richard Lewis |
source
presentation source |
8 |
| PHUSE EU |
2014 |
Data Transparency through Metatada Management |
Judith Goud,
Julie Smiley |
source
presentation source |
4 |
| PHUSE EU |
2014 |
Data Transparency: Data De-identification and the Role of the Programmer [presentation] |
Jean-Marc Ferran |
source |
20 |
| PHUSE EU |
2014 |
From ODM to SDTM: An End-to-End Approach Applied to Phase I Clinical Trials |
Alexandre Mathis |
source
presentation source |
5 |
| PHUSE EU |
2014 |
Managing the Change - Evolving Statistical Programmers to Clinical Data Scientists |
Sascha Ahrweiler |
source
presentation source |
10 |
| PHUSE EU |
2014 |
Models, Metadata and Messaging: Exploring Standards Governance in the CDISC Era |
Kenneth Stoltzfus |
source
presentation source |
6 |
| PHUSE EU |
2014 |
Monitoring Clinical Trials with a SAS Risk-Based Approach |
Laurie Rose |
source
presentation source |
9 |
| PHUSE EU |
2014 |
Programming and Statistics in the Academics Environment [presentation] |
Arne Ring |
source |
21 |
| PHUSE EU |
2014 |
SDTM Mapping Becomes more EASY with SAS Clinical Data Integration |
Saumilkumar Tripathi |
source
presentation source |
8 |
| PHUSE EU |
2014 |
Spotfire for Clinical and Translational Medicine |
Gerard Conway |
source |
3 |
| PHUSE EU |
2014 |
The Capish Information Model - Simplify Access to Your Data |
Anna Berg,
Catharina Dahlbo |
source
presentation source |
8 |
| PHUSE EU |
2014 |
Update on Regulatory Guidance: Data Standardisation Planning for Clinical Development Programs |
James R. Johnson |
source
presentation source |
10 |
| PharmaSUG CN |
2014 |
Data Transparency and Sharing: Research Benefits, Risks and the Future |
Janet E. Stuelpner,
Matthew J. Becker |
|
3 |
| WUSS |
2014 |
Careers in Biostatistics and Clinical SAS Programming: An Overview for the Uninitiated |
Justina M. Flavin |
source |
5 |
| WUSS |
2014 |
Conjunction, What's Your Function?: How PRXCHANGE Saved The Day |
Mary F. O. Rosenbloom,
Jennifer Mares,
Trina Patel |
source |
5 |
| WUSS |
2014 |
Set Yourself Free - Use ODS Report Writing Technology in SAS Enterprise Guide Instead of Dynamic Data Exchange in PC SAS |
Robert Springborn |
source |
12 |
| WUSS |
2014 |
Set Yourself Free - Use ODS Report Writing Technology in SAS Enterprise Guide Instead of Dynamic Data Exchange in PC SAS Part II SAS Code Revealed |
Robert Springborn |
source |
21 |
| PharmaSUG |
2014 |
Adopted Changes for SDTMIG v3.1.3 and 2013 OpenCDISC Upgrades |
Yi Liu,
Stephen Read |
source |
17 |
| PharmaSUG |
2014 |
Careers in Biostatistics and Clinical SAS Programming: An Overview for the Uninitiated |
Justina M. Flavin |
source |
5 |
| PharmaSUG |
2014 |
Clinical Trial Data Integration: The Strategy, Benefits, and Logistics of Integrating Across a Compound |
Natalie Reynolds,
Keith Hibbetts |
source |
12 |
| PharmaSUG |
2014 |
Creating Define.xml v2 Using SAS for FDA Submissions |
Qinghua (Kathy) Chen,
James Lenihan |
source |
20 |
| PharmaSUG |
2014 |
Good versus Better SDTM - Why "Good Enough" May No Longer Be Good Enough When It Comes to SDTM |
Henry B. Winsor |
source |
6 |
| PharmaSUG |
2014 |
Let Chi-Square Pass Decision to Fisher's Programmatically |
Linga Reddy Baddam,
Sudarshan Reddy Shabadu |
source |
5 |
| PharmaSUG |
2014 |
Linking Healthcare Claims and Electronic Health Records (EHR) for Patient Management - Diabetes Case Study |
Paul A. LaBrec |
source |
17 |
| PharmaSUG |
2014 |
Risk-Based Monitoring of Clinical Trials Using JMP Clinical |
Richard C. Zink,
Kelci J. Miclaus |
source |
15 |
| PharmaSUG |
2014 |
SAS as a Tool to Manage Growing SDTM+ Repository for Medical Device Studies |
Julia Yang |
source |
12 |
| PharmaSUG |
2014 |
The New Tradition: SAS Clinical Data Integration |
Vincent J. Amoruccio,
Janet E. Stuelpner |
source |
18 |
| PharmaSUG |
2014 |
XML in a SAS and Pharma World |
Mike Molter |
source |
19 |
| SGF |
2014 |
Converting Clinical Database to SDTM: The SAS Implementation |
Hong Chen |
source |
5 |
| SGF |
2014 |
Creating Define.xml v2 Using SAS for FDA Submissions |
Qinghua (Kathy) Chen,
James Lenihan |
source |
20 |
| SGF |
2014 |
Data Visualization in Health Care: Optimizing the Utility of Claims Data through Visual Analysis |
Krisa Tailor |
source |
16 |
| SGF |
2014 |
Empowering Clinical Research Staff with SAS Enterprise Guide |
Christopher W. Schacherer |
source |
20 |
| SGF |
2014 |
Risk-Based Monitoring of Clinical Trials Using JMP Clinical |
Richard C. Zink |
source |
14 |
| WUSS |
2013 |
Building a Controlled Statistical Programming Environment |
Wayne F. Woo |
source |
10 |
| WUSS |
2013 |
Getting so Much when Reviewing Data with Touch |
Sy J. Truong |
source |
14 |
| PHUSE EU |
2013 |
ADaM Standards - Organising the Unorganised |
Heike Reichert |
source
presentation source |
7 |
| PHUSE EU |
2013 |
CARE to CRaM |
Greg Fuller |
source
presentation source |
16 |
| 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 |
HL7 RIM - An Introduction for Non-Technical Professionals |
Joerg Dillert |
source
presentation source |
6 |
| PHUSE EU |
2013 |
Interpretation of the Output from the OpenCDISC Checker |
Joergen Iversen |
source
presentation source |
5 |
| PHUSE EU |
2013 |
Mission Possible: Your Assignment is to Validate Output for a Study |
Susan Fehrer Coulson |
source
presentation source |
7 |
| 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 |
Reporting on Oracle Clinical by JReview |
Fleury Randrianarivo |
source
presentation source |
2 |
| PHUSE EU |
2013 |
Semantic Technology and CDISC Standards |
Frederik Malfait,
Scott A. Bahlavooni |
source
presentation source |
13 |
| PHUSE EU |
2013 |
Spotfire for Statisticians and Statistical Programmers [presentation] |
Alistair Dootson,
Mark Demesmaeker |
source |
17 |
| 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 |
Standards Governance - A First Insight |
Claudia Meurer |
source
presentation source |
6 |
| PHUSE EU |
2013 |
Time Travel for Librarians: Versioning Complex Library Metadata for Past, Present or Future Retrieval |
Nico De Leeuw,
Ine Felsenstein |
source
presentation source |
12 |
| NESUG |
2013 |
Use of SAS for Clinical Trial Management and Risk-Based Monitoring of Multicenter Clinical Trial Data from Electronic Data Capture Tools |
Bob Hall,
David Gagnon |
|
14 |
| PharmaSUG |
2013 |
A Simple Interface for Meta-Data |
Magnus Mengelbier |
source |
8 |
| PharmaSUG |
2013 |
Be a Dead Cert for a SAS Cert: How to prepare for the most important SAS Certifications in the Pharmaceutical Industry |
Hannes Engberg Raeder |
source |
10 |
| PharmaSUG |
2013 |
Clinical Reporting by Elements |
Magnus Mengelbier |
source |
9 |
| PharmaSUG |
2013 |
Deployment of SAS Programming Contract Staff: Pathway to Sinkhole or Best Strategy for Programming Division? |
Parag Shiralkar |
source |
5 |
| PharmaSUG |
2013 |
Due (Data) Diligence: Study Data Review for Acquisitions |
Adam Young,
Steven R. Kirby |
source |
6 |
| PharmaSUG |
2013 |
Experiences in Preparing Summary Level Clinical Site Data within NDA's Submission for FDA's Inspection Planning |
Xiangchen (Bob) Cui |
source |
19 |
| PharmaSUG |
2013 |
From Standards that Cost To Standards that Save: Cost Effective Standards Implementation |
Jeffrey M. Abolafia,
Frank C. DiIorio |
source |
9 |
| PharmaSUG |
2013 |
Introduction to the CDISC Standards |
Sandra Minjoe |
source |
10 |
| PharmaSUG |
2013 |
JMP versus JMP Clinical for Interactive Visualization of Clinical Trials Data |
Doug Robinson,
Jordan Hiller |
source |
11 |
| PharmaSUG |
2013 |
Just Press the Button: Generation of SAS Code to Create Analysis Datasets directly from an SAP - Can it be Done? |
Endri Endri,
Rowland Hale |
source |
8 |
| PharmaSUG |
2013 |
Leveraging SDTM Standards to Cut Datasets at Any Visit |
Anthony L. Feliu,
Stephen W. Lyons |
source |
12 |
| PharmaSUG |
2013 |
Map Metadata - Going Beyond the Obvious/Connecting the Dots |
Gregory C. Steffens,
Praveen Garg |
source |
8 |
| PharmaSUG |
2013 |
Mapping Unique Aspects of Implantable Medical Device Study Data to CDISC SDTM Medical Device Domains |
Timothy L Bullock,
Sini Nair,
Ramkumar Krishnamurthy,
Todd M. Gross |
source |
12 |
| PharmaSUG |
2013 |
SAS GTL: Improving Patients Safety and Study Efficiency |
Masaki Mihaila |
source |
11 |
| PharmaSUG |
2013 |
SAS Programmer to Clinical SAS Programmer |
Gayatri Karkera,
Nehan Mohan |
source |
7 |
| PharmaSUG |
2013 |
Some Strategies for Validating Your Data before Submission |
Frank L. Roediger,
Sandeep Juneja |
source |
8 |
| 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 |
Developing Your SDTM Programming Toolkit |
David A. Scocca |
source |
10 |
| SGF |
2013 |
Implementing CDISC, SDTM, and ADaM in a SAS Environment |
Pankaj Bhardwaj |
source
pdf |
4 |
| SGF |
2013 |
Set Yourself Free - Use ODS Report Writing Technology in SAS Enterprise Guide Instead of Dynamic Data Exchange in PC SAS Part II SAS Code Revealed |
Robert Springborn |
source |
21 |
| SGF |
2013 |
The Hash-of-Hashes as a "Russian Doll" Structure: An Example with XML Creation |
Joseph W. Hinson |
source |
21 |
| NESUG |
2012 |
A Practical Application of PROC GPLOT and PROC GCHART and Annotate to Clinical Trial Data |
Tulin Shekar |
|
7 |
| NESUG |
2012 |
A Visual Approach to Monitoring Case Report Form Submission During Clinical Trials |
Rebecca Horney,
Karen Jones,
Annette Wiseman |
|
7 |
| NESUG |
2012 |
Financial Impact Analysis of the New RUG-IV on Post-Acute Medicare Providers Using Monte Carlo Simulation |
John Gao,
Cheryl Caswell,
Barry Fogel |
|
13 |
| SCSUG |
2012 |
Dirty Data? Clean it up with SAS. |
Gabriela Cantu |
source |
11 |
| 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 |
Integrating Clinical Images into the Data Review Process |
Kellie Riley |
source
poster source |
5 |
| PHUSE EU |
2012 |
Optimizing Data Validation |
Andrew Newbigging |
source
presentation source |
10 |
| PHUSE EU |
2012 |
Reveal: Web-Based Software for the Unique Challenges of Enterprise Clinical Data Search |
Jon Davidson |
source
presentation source |
1 |
| PHUSE EU |
2012 |
SDTM and AdaM: Metadata Playing Together Nicely |
Kenneth Stoltzfus |
source
presentation source |
7 |
| PHUSE EU |
2012 |
Study Protocol Flexibility vs Programming Standard Rigidity |
Samia Kabi |
source
poster source |
7 |
| PHUSE EU |
2012 |
Testing in the Cloud. Not Just for the Birds, but Monkeys Too |
Geoff Low |
source
presentation source |
7 |
| PHUSE EU |
2012 |
The Italian Post-Marketing Registries |
Entela Xoxi |
source
presentation source |
1 |
| 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 Visual Approach to Monitoring Case Report Form Submission During Clinical Trials |
Rebecca Horney,
Perry Point |
source |
7 |
| SESUG |
2012 |
An Introduction to the Clinical Standards Toolkit |
Mike Molter |
source |
13 |
| SESUG |
2012 |
The SDTM Programming Toolkit |
David A. Scocca |
source |
10 |
| WUSS |
2012 |
Set Yourself Free - Use ODS Report Writing Technology in SAS EG Instead of Dynamic Data Exchange in PC SAS |
Robert Springborn |
source |
12 |
| PharmaSUG CN |
2012 |
Clinical Review on iPad with DEFINE.XML |
Sy J. Truong |
|
10 |
| PharmaSUG CN |
2012 |
SAS Data Query and Edit Checks with HTML5 |
Sy J. Truong |
pptx |
17 |
| PharmaSUG |
2012 |
An Introduction to the Clinical Standards Toolkit and Clinical Data Compliance Checking |
Mike Molter |
source |
14 |
| PharmaSUG |
2012 |
Cross-Platform Data Migration in a Clinical Environment |
Frederick E. Pratter,
Srinivas Chittela |
source |
6 |
| PharmaSUG |
2012 |
From InForm EDC Data to SAS Datasets using SAS Clinical Data Integration - Real Time |
Jitesh Nagaria |
source |
12 |
| PharmaSUG |
2012 |
SAS Data Query and Edit Checks with HTML5 |
Sy J. Truong,
Ale Gicqueau |
source |
17 |
| PharmaSUG |
2012 |
SDTM Domain Mapping with Structured Programming Methodology |
Chengxin Li,
Jing-Wei Gao,
Nancy Bauer |
source |
8 |
| PharmaSUG |
2012 |
Streamlining Regulatory Submission with CDISC/ADaM Standards for Non-standard Pharmacokinetic/Pharmacodynamic Analysis Datasets |
Xiaopeng Li,
Katrina E. Canonizado,
Chun Feng,
Nancy Wang |
source |
6 |
| PharmaSUG |
2012 |
Study on Good Programming Practices in Health and Life Sciences |
Arthur Collins,
Mark Foxwell,
Beate Hientzsch,
Cindy Q. Song |
source |
4 |
| SGF |
2012 |
Deciphering PROC COMPARE Codes: The Use of the bAND Function |
Joseph W. Hinson,
Margaret M. Coughlin |
source |
9 |
| SGF |
2012 |
One at a Time; Producing Patient Profiles and Narratives |
Joseph J. Hantsch,
Janet E. Stuelpner |
source |
6 |
| SESUG |
2011 |
Proc MIXED - Right Options to get Right Output |
Shilpa C. Edupganti,
Sheetal Nisal |
source |
9 |
| WUSS |
2011 |
Clinical Data Integration for Observational Studies Using Electronic Health Records:Examples with Defining Pregnancy and Gestational Diabetes |
Beinan Zhao |
source |
7 |
| WUSS |
2011 |
Clinical Data Review on iPad with DEFINE.XML |
Sy J. Truong |
source |
10 |
| WUSS |
2011 |
Estimating Disease Prevalence from Clinical Data Using Capture-Recapture |
Carol Conell |
source |
10 |
| WUSS |
2011 |
Helping Students Become Effective Industry Statisticians: Supplementing Science with Data Savvy |
Aleksandra Stein |
source |
5 |
| WUSS |
2011 |
How to easily convert clinical data to CDISC SDTM |
Ale Gicqueau |
source |
9 |
| WUSS |
2011 |
SAS Data Query and Edit Checks Web 2.0 |
Sy J. Truong |
source |
15 |
| WUSS |
2011 |
Use CDISC SDTM as a data middle-tier to streamline your SAS infrastructure |
Kalyani Chilukuri |
source |
8 |
| PHUSE EU |
2011 |
An Approach to Standard Programming in a Central Data Repository |
Robert Ellison |
source
presentation source |
6 |
| 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 |
Don't Bring a Spreadsheet to a Database Fight: Case for Microsoft Access |
Ryan Burns |
source
presentation source |
5 |
| PHUSE EU |
2011 |
Much ADaM about Nothing - a PROC Away in a Day |
Endri Endri,
Rowland Hale |
source
presentation source |
8 |
| PHUSE EU |
2011 |
Rectifying Irregular Text Data: a case for using Regular Expressions in SAS |
Jayshree Garade,
Manjusha Gode |
source
presentation source |
2 |
| PHUSE EU |
2011 |
SAS Clinical Data Integration |
Bill J. Gibson |
source |
2 |
| 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 |
Study Composer: a CRF design tool enabling the re-use of CDISC define.xml metadata |
Philippe Verplancke |
source
presentation source |
5 |
| PHUSE EU |
2011 |
The Nycomed outsourcing model - Data standardisation experience after three years [presentation] |
Berthold Traub |
source |
25 |
| PHUSE EU |
2011 |
Using R to Validate Results of Other Programming Environments |
Nikhil Abhyankar,
Vidyagouri Prayag |
source
presentation source |
8 |
| MWSUG |
2011 |
Driving Clinical Safety Reviews with Data Standards |
Geoffrey A. Mann |
|
7 |
| MWSUG |
2011 |
Is It Time to Upgrade CDISC SDTM from v1.1/v3.1.1 to v1.2/v3.1.2? |
Susan M. Fehrer |
|
3 |
| NESUG |
2011 |
Proc Mixed - Right Options to Get the Right Output |
Shilpa C. Edupganti,
Sheetal Nisal |
|
10 |
| NESUG |
2011 |
Promoting Data-Driven Techniques |
Haibin Shu |
|
3 |
| NESUG |
2011 |
The 5 Most Important Clinical SAS Programming Validation Steps |
Brian C. Shilling |
|
6 |
| NESUG |
2011 |
Waterfall Charts: Play the Mario with Your Data |
Niraj J. Pandya,
Sapan Raval |
|
7 |
| PharmaSUG |
2011 |
An Excel Framework to Convert Clinical Data to CDISC SDTM Leveraging SAS Technology |
Sophie McCallum,
Stephen Chan |
source |
12 |
| PharmaSUG |
2011 |
Brave New World: How to Adapt to the CDISC Statistical Computing Environment |
Jeffrey M. Abolafia,
Frank C. DiIorio |
source |
11 |
| PharmaSUG |
2011 |
Challenges in Implementing ADaM datasets: Balancing the Analysis-Ready and Traceability Concepts |
Pushpa Saranadasa |
source |
7 |
| PharmaSUG |
2011 |
Helping Students Become Effective Industry Statisticians: Supplementing Science with Data Savvy |
Aleksandra Stein,
Steven R. Kirby |
source |
5 |
| PharmaSUG |
2011 |
Resolving OpenCDISC Error Messages Using SAS |
Virginia Redner,
John R. Gerlach |
source |
10 |
| PharmaSUG |
2011 |
Run your reports through that last loop to standardize the presentation attributes |
Niraj J. Pandya |
source |
6 |
| PharmaSUG |
2011 |
The Standard for the Exchange of Nonclinical Data (SEND): History and Basics |
Fred Wood,
Lou Ann Kramer |
source |
9 |
| 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 SAS Macro to Validate Business Rule for Phasing Derivation in a Clinical Data Repository |
Ellen Xiao |
source |
6 |
| SGF |
2011 |
Driving Clinical Safety Reviews with Data Standards |
Geoffrey A. Mann |
source |
7 |
| SGF |
2011 |
State of the Union: The Crossroads of CDISC Standards and SAS Supporting Role |
Michael J. Molter,
Chris Decker |
source |
14 |
| SGF |
2011 |
What CDISC Means to SAS Programmers |
Kevin Lee |
source |
3 |
| NESUG |
2010 |
Non Printable & Special Characters: Problems and how to overcome them |
Sridhar R. Dodlapati,
Praveen Lakkaraju,
Naresh Tulluru,
Zemin Zeng |
|
13 |
| NESUG |
2010 |
Techniques for Managing Projects Outsourced to Offshore CRO |
Margaret M. Coughlin,
Hong Qi |
|
4 |
| NESUG |
2010 |
The 5 Most Important Clinical SAS Programming Validation Steps |
Brian C. Shilling |
|
6 |
| NESUG |
2010 |
The Past, Present, and Future of Clinical Data Standards |
Chris Decker |
|
10 |
| WUSS |
2010 |
An Excel Framework to Convert Clinical Data to CDISC SDTM Leveraging SAS Technology |
Ale Gicqueau |
source |
12 |
| WUSS |
2010 |
Creating a Patient Profile using CDISC SDTM |
Marc Desgrousilliers |
source |
5 |
| WUSS |
2010 |
Normalized Editchecks Automated Tracking (N.E.A.T.) |
Frank Fan |
source |
11 |
| WUSS |
2010 |
Strategies for Developing and Delivering an Effective Online SAS Programming Course |
Justina M. Flavin |
source |
11 |
| PHUSE EU |
2010 |
AstraZENeca and the ART of metadata maintenance |
Paul Frost |
source
presentation source |
11 |
| PHUSE EU |
2010 |
Bridging the communication gap: implementing metadata standards in trial protocols |
Annabel Acs |
source
presentation source |
7 |
| PHUSE EU |
2010 |
CDISC integration in a clinical data management system |
Peter Van Reusel |
source
presentation source |
13 |
| PHUSE EU |
2010 |
Converting Data to CDISC Models: Research Project on Metadata Extraction, Exploration and Pooling |
Ronald Steinhau,
Dimitri Kutsenko |
source
presentation source |
4 |
| PHUSE EU |
2010 |
Data Warehousing for the Reporting and Management of Clinical Data |
Robert Ellison |
source
presentation source |
4 |
| PHUSE EU |
2010 |
Electronic transfer of sAE to Global Pharmacovigilance |
Eva Bervar |
source
presentation source |
5 |
| PHUSE EU |
2010 |
From Data Capture to Decision Making Innovation through Standardization |
Michaela Jahn,
Stephan Laage-Witt |
source |
5 |
| PHUSE EU |
2010 |
Initial Investment in CDISC Data Standards in Clinical Organisations |
Kenneth Stolzfus |
source |
10 |
| PHUSE EU |
2010 |
Interactive Clinical Data Review for Safety Assesment and Trial Operations Management |
Michael O'Connell |
source
presentation source |
13 |
| 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 Use of Meta Data in Creating, Transforming and Transporting Clinical Data |
Gregory C. Steffens |
source
presentation source |
9 |
| PHUSE EU |
2010 |
Traceability between SDTM and ADaM converted analysis datasets |
Florence Somers,
Michael Knoessl |
source
presentation source |
7 |
| PHUSE EU |
2010 |
Uncover Useful Patterns in Clinical Trials Safety Data with JMP Clinical |
Valérie Nedbal |
source |
7 |
| PHUSE EU |
2010 |
Using web service technologies for incremental, real-time transfers |
Andrew Newbigging |
source |
11 |
| PharmaSUG |
2010 |
Checking for SDTM Compliance: The Need for Human Involvement |
Fred Wood,
Adrienne Boyance |
|
8 |
| PharmaSUG |
2010 |
Clinical Programming For Novice |
Ramesh Ayyappath |
|
5 |
| PharmaSUG |
2010 |
Create Comprehensive Patient Profiles with SAS |
Sanjay N. Matange,
Daniel O'Connor |
|
12 |
| PharmaSUG |
2010 |
Creating SV and Se First |
Henry B. Winsor,
Mario Widel |
|
7 |
| PharmaSUG |
2010 |
Embedded Special Characters |
Kiran K. Karidi,
Mahipal Vanam,
Sridhar R. Dodlapati |
|
5 |
| PharmaSUG |
2010 |
From SAP to ADaM: The Nuts and Bolts |
Nancy Brucken,
Paul K. Slagle |
|
9 |
| PharmaSUG |
2010 |
Handling Non-English Clinical Trials Data in SDTM Conversions for US-FDA Submissions |
Ramanan D. Bathala |
|
5 |
| PharmaSUG |
2010 |
In-Depth Review of Validation Tools to Check Compliance of CDISC SDTM-Ready Clinical Datasets |
Bhavin Busa,
Kimberly Lindfield |
|
52 |
| PharmaSUG |
2010 |
Managing Clinical Data Standards: An Introduction to SAS Clinical Data Integration |
Michael Kilhullen |
|
10 |
| PharmaSUG |
2010 |
Non Printable & Special Characters: Problems and how to overcome them |
Sridhar R. Dodlapati,
Praveen Lakkaraju,
Naresh Tulluru,
Zemin Zeng |
|
13 |
| SGF |
2010 |
Improving Quality of Care for Chronic Disease in the Primary Care Setting: A Quality Improvement Program Using SAS and Electronic Medical Record Data |
Andrew S. Baker |
source |
4 |
| SGF |
2010 |
Managing Clinical Data Standards: An Introduction to SAS Clinical Data Integration |
Michael Kilhullen |
source |
10 |
| SGF |
2010 |
The Past, Present, and Future of Clinical Data Standards |
Chris Decker |
source |
10 |
| PHUSE EU |
2009 |
A Year in Pharma |
Gemma Bishop |
source |
4 |
| PHUSE EU |
2009 |
Building and maintaining a clinical data warehouse - challenges and opportunities for pharmaceutical programmers [presentation] |
Juergen Kuebler |
source |
15 |
| PHUSE EU |
2009 |
Data review: To see or not to see.. |
Estelle Tiemtore |
source
presentation source |
6 |
| PHUSE EU |
2009 |
Metadata and Standard Programs |
Marianne Carames,
Martin Lindhard |
source
presentation source |
10 |
| PHUSE EU |
2009 |
SDTM Validation: How can we do it right? |
Peter Van Reusel |
source
presentation source |
8 |
| PHUSE EU |
2009 |
Simple Safety Monitoring with Signal Detection [presentation] |
Magnus Mengelbier |
source |
22 |
| PHUSE EU |
2009 |
Timezone correction of data |
John van Bemmelen |
source |
3 |
| PHUSE EU |
2009 |
Using SAS Clinical Data Integration Server to Implement and Manage CDISC Standards |
Julie A. Maddox |
source
presentation source |
8 |
| PHUSE EU |
2009 |
Using SAS Macros to simplify preparation and validation of SDTM data, Annotated CRFs and Define.xml in a metadata driven environment |
Niels Both |
source
presentation source |
10 |
| NESUG |
2009 |
Techniques for Managing Projects Outsourced to Offshore CRO |
Hong Qi,
Margaret M. Coughlin |
|
4 |
| WUSS |
2009 |
The CDISC Study Data Tabulation Model (SDTM): History, Perspective, and Basics |
Fred Wood |
source |
9 |
| PharmaSUG |
2009 |
ARROW Clinical Data Analysis System: An Integration of Statistical Analysis and Reporting |
Cheng Jun Tian,
Denis Michel |
|
9 |
| PharmaSUG |
2009 |
Clinical Trial Reporting Using SAS/GRAPH SG Procedures |
Susan L. Schwartz |
|
21 |
| PharmaSUG |
2009 |
Clinically Significant Data Integration Studio |
Chris Decker,
Stephen Baker |
|
12 |
| PharmaSUG |
2009 |
Generic System for Generating Data Listings |
Cheng Jun Tian |
|
15 |
| PharmaSUG |
2009 |
Medical Coding System for Clinical Trials - 21 CFR Part 11 Compliant SAS/AF Application |
Annie S. Guo |
|
12 |
| SGF |
2009 |
Backpacking Your Way through CDISC: A Budget-Minded Guide to Basic Concepts and Implementation |
Rachel Brown,
Jennifer K. Fulton |
source |
7 |
| SGF |
2009 |
Clinical Trial Reporting Using SAS/GRAPH SG Procedures |
Susan L. Schwartz |
source |
21 |
| SGF |
2009 |
Using SAS Clinical Data Integration Server to Implement and Manage CDISC Standards |
Michael Kilhullen |
source |
7 |
| WUSS |
2008 |
Using SAS/AF for Managing Clinical Data |
Wynn Zheng |
source |
14 |
| SESUG |
2008 |
How to Create Variables Related to Age |
Joyce Gui,
Shaoan Yu |
source |
5 |
| SESUG |
2008 |
Use of Post Processor in Clinical Data Reporting |
Niraj J. Pandya |
source |
7 |
| PHUSE EU |
2008 |
Applying SMQs to Adverse Event Data |
John van Bemmelen |
source |
10 |
| 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 |
Implementing CDISC at Boehringer Ingelheim |
Michael Knoessl,
Peter Leister |
source |
5 |
| PHUSE EU |
2008 |
Migration of clincal data from IBM MVS to HP UNIX |
Fronke Gerken |
source |
6 |
| PHUSE EU |
2008 |
Practical application of SAS Clinical Data Integration Server for conversion to SDTM data |
Mark Lambrecht,
Peter Van Reusel |
source |
9 |
| PHUSE EU |
2008 |
SAS macros for S-PLUS Clinical Graphics within a Production Reporting Environment |
Sven Jesper Knudsen,
Charlie Roosen |
source |
4 |
| PHUSE EU |
2008 |
Statistically guided review of safety data in clinical trials |
Michael O'Connell,
Harry Southworth |
source |
12 |
| PHUSE EU |
2008 |
The application of SDTM in a disease (oncology)-oriented organization |
Angelo Tinazzi,
Enrica Paschetto |
source |
8 |
| NESUG |
2008 |
Clinical-Data Acceptance Testing Procedure |
Sunil Kumar Gupta |
|
15 |
| NESUG |
2008 |
Post Processing Macro in Clinical Data Reporting |
Niraj J. Pandya |
|
7 |
| PharmaSUG |
2008 |
Clinical-Data Acceptance Testing Procedure |
Sunil Kumar Gupta |
|
15 |
| PharmaSUG |
2008 |
SDTM, Plus or Minus |
Barry R. Cohen |
|
6 |
| PharmaSUG |
2008 |
Single Page Graphical Display of Multiple Subjects' Time Pattern on Studies |
Louie Huang |
|
9 |
| PharmaSUG |
2008 |
The CDISC Study Data Tabulation Model (SDTM): History, Perspective, and Basics |
Fred Wood |
|
8 |
| PharmaSUG |
2008 |
Utilizing the SAS Business Intelligence Platform in a Clinical Trial Environment |
Brian K. Varney,
Mindy Kiss |
|
5 |
| 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 |
Clinical-Data Acceptance Testing Procedure |
Sunil Kumar Gupta |
source |
15 |
| SGF |
2008 |
Practical Methods for Creating CDISC SDTM Data Sets from Existing Data |
Robert W. Graebner |
source |
11 |
| SGF |
2008 |
The Evolution of SAS in Life Sciences Research and Development |
David Handelsman |
source |
10 |
| WUSS |
2007 |
Validation Techniques in Clinical Trails Using SAS Enterprise Guide |
Venkata R. Darbha |
source |
8 |
| PHUSE EU |
2007 |
Bayesian Modelling with SPLUS and the S+flex Bayes library |
Andrew Jack,
Dawn Woodard |
source |
11 |
| PHUSE EU |
2007 |
PK data file(s) creation process |
Ann Cuijpers,
Hilde Wuyts |
source |
3 |
| PHUSE EU |
2007 |
Runtime funtime: Vertical data reporting using runtime formats |
Michael Auld |
source |
11 |
| PHUSE EU |
2007 |
Standardizing FDA data to improve success in pediatric drug development |
Julie A. Maddox,
Chris Decker |
source |
12 |
| PNWSUG |
2007 |
"FS-What?" A New Use for an Old SAS Component |
Kim Truett |
|
6 |
| PharmaSUG |
2007 |
"FS-What?" A New Use for an Old SAS Component |
Kim Truett |
|
6 |
| PharmaSUG |
2007 |
Automate Data Integration Processes for Pharmaceutical Data Warehouse |
Sandy Lei |
|
7 |
| PharmaSUG |
2007 |
Best Practices for Working with CDISC Metadata in the SAS Data Integration Server |
Michael Kilhullen |
|
10 |
| PharmaSUG |
2007 |
Evolution and Implementation of the CDISC Study Data Tabulation Model (SDTM) |
PharmaSUG Annual Meeting,
Fred Wood,
Tom Guinter |
|
47 |
| PharmaSUG |
2007 |
Evolution and Implementation of the CDISC Study Data Tabulation Model (SDTM) |
Fred Wood,
Tom Guinter |
|
7 |
| PharmaSUG |
2007 |
SDTM, Plus or Minus |
Barry R. Cohen |
|
6 |
| PharmaSUG |
2007 |
Strategies and Practical Considerations for Creating CDISC SDTM Domain Data Sets from Existing CDM Data Sets |
Robert W. Graebner |
|
12 |
| PharmaSUG |
2007 |
The Submission Data File System Automating the Creation of CDISC SDTM and ADaM Datasets |
Marcus Bloom,
David Edwards |
|
15 |
| PharmaSUG |
2007 |
The Use of CDISC Standards in SAS from Data Capture to Reporting |
Andrew T. Fagan |
|
21 |
| PHUSE EU |
2006 |
Contours of a Drug Development Data Warehouse |
Paul Vervuren |
source |
8 |
| PHUSE EU |
2006 |
Statistical Graphics and Reporting in Drug Development |
Michael O'Connell,
Sven Knudsen |
source |
13 |
| PHUSE EU |
2006 |
The Submission Data File System Automating the Creation of CDISC SDTM and ADaM Datasets |
David Edwards,
Marcus Bloom |
source |
6 |
| PHUSE EU |
2006 |
The Use of CDISC Standards in SAS from Data Capture to Reporting |
Andrew T. Fagan |
source |
21 |
| PHUSE EU |
2006 |
Using CDISC Models for the Analysis of Safety Data |
Susan J. Kenny,
Edward D. Helton |
source |
10 |
| WUSS |
2006 |
An Approach Finding the Right Tolerance Level for Clinical Data Acceptance |
Karen Walker |
source |
5 |
| WUSS |
2006 |
Changing Careers to Become a SAS Programmer in the Biotech/Pharmaceutical Industry |
Sy J. Truong |
source |
9 |
| WUSS |
2006 |
Have It Both Ways: Macros that Produce Publication-Quality Tables and Stand-alone Code |
Linda Collins,
Lisa Kaye Brooks,
Michael Rea,
Alan Hopkins |
source |
19 |
| WUSS |
2006 |
PROC SQL: A Powerful Tool to Improve Your Data Quality |
Keh-Dong Shiang |
source |
10 |
| NESUG |
2006 |
Using SAS Data Integration Studio to Convert Clinical Trials Data to the CDISC SDTM Standard |
Barry R. Cohen |
|
8 |
| PharmaSUG |
2006 |
De-Identification of Clinical Trials Data Demystified |
Jack Shostak |
|
12 |
| PharmaSUG |
2006 |
Evolution and Implementation of the CDISC Study Data Tabulation Model (SDTM) |
Tom Guinter,
Fred Wood |
|
6 |
| PharmaSUG |
2006 |
Managing Clinical Trials Data using SAS Software |
Martin J. Rosenberg |
|
7 |
| PharmaSUG |
2006 |
Murphy was an optimist: a realistic approach to clinical trial data |
Pamela L. Reading |
|
4 |
| PharmaSUG |
2006 |
Preparing CTD (Common Technical Document) for FDA Submission |
Charlie Xu |
|
7 |
| PharmaSUG |
2006 |
SAS Drug Development: Bringing Innovation to Life Sciences |
David Handelsman |
|
12 |
| PharmaSUG |
2006 |
Transforming Business Requirements into System Solutions |
Yongcun Zhang |
|
10 |
| PharmaSUG |
2006 |
Update: CDISC Interchange Abstract Harmonizing CDISC Models - SDTM & ADaM |
Edward D. Helton,
Stephen J. Ruberg,
Cathy Barrows,
Musa Nsereko,
Greg Anglin |
|
3 |
| PharmaSUG |
2006 |
Using SAS ETL Studio to Convert Clinical Trials Data to the CDISC SDTM |
Barry R. Cohen |
|
10 |
| SUGI |
2006 |
%DataAutoSum: A SAS Macro for Automatically Producing a Customized Clinical Data Summary Report |
Deqing Pei,
Cheng Cheng |
source |
8 |
| SUGI |
2006 |
Developing, Managing, and Evaluating a Standard Macro System |
Albert Mo |
source |
10 |
| SUGI |
2006 |
Duration Calculation from a Clinical Programmer's Perspective |
Alice M. Cheng |
source |
10 |
| SUGI |
2006 |
PROC SQL: A Powerful Tool to Improve Your Data Quality |
Keh-Dong Shiang |
source |
10 |
| SUGI |
2006 |
Version Control on the Cheap. A User-Friendly, Cost-Effective Revision Control System for SAS |
Tim P. Williams |
source |
10 |
| PHUSE EU |
2005 |
An Introduction to CDISC - Available CDISC Standards and Models and How SAS Supports These |
Laurie Rose |
source |
43 |
| 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 |
CLIREV - A friendly and flexible Clinical Data Review Tool |
Angelo Tinazzi |
source |
6 |
| PHUSE EU |
2005 |
Customer oriented CDISC implementation |
Edelbert Arnold,
Ulrike Plank |
source
poster source |
13 |
| PHUSE EU |
2005 |
Kisses, Nakedness and Love Or What makes a good clinical trials programmer ? |
Josephine Duvoid |
source |
5 |
| PHUSE EU |
2005 |
Managing Clinical Trials Data using SAS |
Martin J. Rosenberg |
source |
7 |
| PHUSE EU |
2005 |
Only Interactive Graphics Will Do |
Nelson Kinnersley |
source |
4 |
| PHUSE EU |
2005 |
Software Tools for working with CDISC ODM, SDTM, LAB and define.xml |
Jozef Aerts |
source |
2 |
| PHUSE EU |
2005 |
The HAWK has a good (SAS) view |
Oliver LeConte |
source |
6 |
| PHUSE EU |
2005 |
Understanding the Japanese culture and approval process |
Richard Harvey |
source |
10 |
| PHUSE EU |
2005 |
Visions of a Drug Development Data Warehouse |
Paul Vervuren |
source |
7 |
| MWSUG |
2005 |
SAS Enterprise Guide in Pharmaceutical Applications: Automated Analysis And Reporting |
Alex Dmitrienko |
|
9 |
| NESUG |
2005 |
A Programming Pattern for Differences Calculation in Clinical Data Analysis |
Lei Zhang,
Chang Y. Chung |
|
8 |
| PharmaSUG |
2005 |
An Approach Finding the Right Tolerance Level for Clinical Data Acceptance |
Karen Walker |
|
6 |
| PharmaSUG |
2005 |
Extending the SAS Environment with Trellis Graphics |
Chris Thornton |
|
7 |
| PharmaSUG |
2005 |
Implementation of the CDISC SDTM at the Duke Clinical Research Institute |
Jack Shostak |
|
12 |
| PharmaSUG |
2005 |
Integrated Presentation of Clinical Data with Graph and Text |
Binbin Zhang,
Wei Wang,
Sunny Xie |
|
8 |
| PharmaSUG |
2005 |
Programming and Data Differences Between Clinical Trials and Observational Studies |
Margaret M. Coughlin |
|
6 |
| PharmaSUG |
2005 |
Some Statistical Programming Considerations for e-Submission |
Hang Pang |
|
6 |
| PharmaSUG |
2005 |
Strategies for Implementing SDTM and ADaM Standards |
Susan J. Kenny,
Michael A. Litzsinger |
|
8 |
| PharmaSUG |
2005 |
XML Basics for SAS Programmers |
Yong Li |
|
5 |
| SUGI |
2005 |
Creating Bar Charts and Scatter Plots Using the SAS GPLOT Procedure??Both on the Same Page? It Is Easier Than You Think! |
Rita Tsang |
source |
4 |
| NESUG |
2004 |
Clinical Trial Data Validation: Using PROC SQL Effectively |
Balakrishna Dandamudi |
|
20 |
| NESUG |
2004 |
Clinical Trials Online - Running SAS on the Web Without SAS/IntrNet |
Quan Ren |
|
15 |
| NESUG |
2004 |
Extracting Data from Oracle into SAS - Lessons Learned |
Maria Y. Reiss |
|
12 |
| NESUG |
2004 |
Web Services Integration and the SAS Drug Development Platform |
Christopher R. Olinger,
John Leveille |
|
14 |
| WUSS |
2004 |
Text Processing with the New Perl Regular Expression Functions |
Richard F. Pless |
source |
11 |
| MWSUG |
2004 |
Using SAS Enterprise Guide to Automate and Customize Statistical Analyses for Pharmaceutical Data |
Alex Dmitrienko,
Cindy Lee |
|
6 |
| PNWSUG |
2004 |
Extracting Data from Oracle into SAS - Lessons Learned |
Maria Y. Reiss |
|
12 |
| PharmaSUG |
2004 |
An FDA-Requested XML Replacement for SAS Version 5 Transport Files in U.S. Regulatory Submissions |
Michael C. Palmer |
|
5 |
| PharmaSUG |
2004 |
CDX - clinical data management and report programming environment |
Gunilla Sköllermo,
Pål Edman |
|
7 |
| PharmaSUG |
2004 |
Customizing Clinical Data Warehouse for Business Intelligence An analyst's view |
Haibin Shu Barr |
|
8 |
| PharmaSUG |
2004 |
Making Model Selection in Linear Mixed-Effects Models An Easy Process: A SAS Macro Procedure |
Henry Cheng,
Yuli Xie,
Elizabeth Reinbolt |
|
4 |
| PharmaSUG |
2004 |
Use That SAP to Write Your Code |
Sandra Minjoe |
|
9 |
| PharmaSUG |
2004 |
Web Services Integration and the SAS Drug Development Platform |
Christopher R. Olinger |
|
14 |
| PharmaSUG |
2004 |
Why SAS is the Best Place to Put Your Clinical Data |
Steven A. Wilson |
|
12 |
| SUGI |
2004 |
A Lightweight HTML Codebook Generator for Clinical Trial Data |
Lei Zhang |
source |
11 |
| SUGI |
2004 |
Clinical Trial Online - Running SAS on the Web without SAS/IntrNet |
Quan Ren |
source |
16 |
| SUGI |
2004 |
Why SAS is the Best Place to Put Your Clinical Data |
Steven A. Wilson |
source |
13 |
| WUSS |
2003 |
Preliminary Analysis for Classic Case-Control Study |
Natalia V. Udaltsova,
Irina V. Tolstykh |
source |
3 |
| WUSS |
2003 |
Why SAS is the Best Place to Put Your Clinical Data |
Steven A. Wilson |
source |
10 |
| NESUG |
2003 |
Date/Time Stamped Files and Audit Trails: What Part 11 Compliant SAS Systems are Made Of |
Carolyn Dougherty |
|
11 |
| NESUG |
2003 |
Practical SAS Methods to Safeguard the SAS Clinical Trial Data |
Tianshu Li |
|
4 |
| SEUGI |
2003 |
OPIS - A Web Enabled Clinical Data Warehouse Prototype [presentation] |
Claus Puhr |
source |
24 |
| SEUGI |
2003 |
The SAS Academic Intiative Featuring the Student Ambassadors: Building the future for our SAS Customers [presentation] |
Nina Hanke |
source |
42 |
| SEUGI |
2003 |
The SAS Academic Intiative Featuring the Student Ambassadors: Building the future for our SAS Customers - Wrap Up [presentation] |
Nina Hanke |
source |
10 |
| PharmaSUG |
2003 |
Capabilities and Example Uses of a SAS Macro for Summary Reporting of Clinical Data |
James T. Decker,
Jun Wang |
|
8 |
| PharmaSUG |
2003 |
CDISC: Why SAS Programmers Need to Know |
Victor Sun |
|
4 |
| PharmaSUG |
2003 |
Clinical Data Model and FDA/CDISC Submissions |
Mark Edwards,
Gajanan Bhat |
|
10 |
| PharmaSUG |
2003 |
Clinical Data Standards - An eSubmissions Perspective |
Shy Kumar |
|
6 |
| PharmaSUG |
2003 |
Confidence Intervals in Analysis and Reporting of Clinical Trials |
Guangbin Peng |
|
8 |
| 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 |
StARScope: A Web-Based SAS Prototype for Clinical Data Visualization |
Fang Dong,
Subrahmanyam Pilli,
Scott Pivirotto,
Jeff Van Domelen |
|
6 |
| PharmaSUG |
2003 |
Testing CDISC's Operational Data Model in SAS |
Michael C. Palmer |
|
4 |
| PharmaSUG |
2003 |
The behind the Scenes of Extracting SAS Data Sets from Oracle Clinical |
Angela S. Ringelberg |
|
6 |
| PharmaSUG |
2003 |
Why SAS is the Best Place to Put Your Clinical Data |
Steven A. Wilson |
|
10 |
| SUGI |
2003 |
A Table-Driven Solution for Clinical Data Submission |
Jim Sattler |
source |
6 |
| SUGI |
2003 |
Linkage of Patient Registries and Clinical Data Sets without Patient Identifiers |
Paul D. Frederick |
source |
6 |
| SUGI |
2003 |
StARScope: A Web-Based SAS Prototype for Clinical Data Visualization |
Fang Dong,
Thomas Pivirotto,
Subrahmanyam Pilli,
Jeffrey L. Van Domelen |
source |
|
| SUGI |
2003 |
Why SAS is the Best Place to Put Your Clinical Data |
Steven A. Wilson |
source |
6 |
| NESUG |
2002 |
User-Interface Tool Choice and Audit Trail Tool Choice for a SAS Based Data Entry/Verify System for Clinical Trials Data |
Barry R. Cohen |
|
6 |
| WUSS |
2002 |
Generation of a Clinical Data Warehouse across Multiple Companies |
Sarbjit Rai |
source |
4 |
| SEUGI |
2002 |
A data warehouse and data exploitation solution in clinical trials [presentation] |
F. Patarnello,
V. Frizzo |
source |
24 |
| SEUGI |
2002 |
A SAS and Java Application for Reporting Clinical Trial Data [presentation] |
Kevin Kane |
source |
31 |
| SEUGI |
2002 |
SAS Drug Development: Intelligent Research Management [presentation] |
Andrew T. Fagan |
source |
18 |
| PharmaSUG |
2002 |
Data Exploration in the Pharmaceutical Industry |
Andrew T. Fagan |
|
8 |
| PharmaSUG |
2002 |
Date and Time Values in Clinical Trial Data |
George Li |
|
4 |
| PharmaSUG |
2002 |
Implementing a Standardized Data Model - A Real Life Experience |
Curtis Wolf,
Paul M. Gilbert |
|
4 |
| PharmaSUG |
2002 |
It's Easy If You Know How: Importing, Processing, and Exporting CDISC XML with SAS |
Michael C. Palmer |
|
4 |
| PharmaSUG |
2002 |
Java Application Development for Analyzing Clinical Pharmacogenomics Data |
Zongwei Shen,
Robert Tracy,
Richard Judson |
|
4 |
| PharmaSUG |
2002 |
Preparing the SAS Software Programming Environment for Regulatory Submission |
Sunil Kumar Gupta |
|
10 |
| PharmaSUG |
2002 |
The 800-Pound Gorilla: Taking on the Challenge of Globally Standardizing Adverse Event and Medication Reporting |
Deborah Harper,
Jennifer Tjernagel |
|
4 |
| PharmaSUG |
2002 |
The CDISC Laboratory Data Interchange Standard: Using SAS To Read and Write CDISC Compliant Data Sets and Files |
Margaret Hung |
|
8 |
| PharmaSUG |
2002 |
Various Techniques for Processing CDISC ODM XML |
Christopher R. Olinger |
|
34 |
| SUGI |
2002 |
Unit-of-Analysis Programming |
Vanessa C. Hayden |
source |
6 |
| SUGI |
2002 |
User-Interface Tool Choice and Audit Trail Tool Choice for a SAS Based Data Entry/Verify System for Clinical Trials Data |
Barry R. Cohen |
source |
6 |
| MWSUG |
2001 |
Date & Time Values in Clinical Trial Data |
George Li,
John Morrill |
|
4 |
| NESUG |
2001 |
Developing and Implementing Programming Standards Without Stifling Programmer Creativity |
Paul Doucette |
|
5 |
| NESUG |
2001 |
REx: An Automated System for Extracting Clinical Trial Data from Oracle to SAS |
Edward McCaney |
|
5 |
| NESUG |
2001 |
Using SAS/Warehouse Administrator., Enterprise Guide., and Enterprise Reporter. to Manage and Access a Clinical Data Warehouse |
Theresa J. Kelso |
|
3 |
| VIEWS |
2001 |
Delivering Clinical Study Data Using SAS/IntrNet |
Robert Davis,
Barrie Nelson |
presentation |
4 |
| VIEWS |
2001 |
Software Validation in Clinical Trial Reporting: Experiences from the Biostatistics & Data Sciences Department |
Andrea Baker |
presentation |
5 |
| VIEWS |
2001 |
Your Clinical Trials Data Entry and Management Solution - The SAS UK Clinical Data Management Knowledge Solution [presentation] |
Jane Powell |
|
19 |
| WUSS |
2001 |
A Method to Import, Process, and Export Arbritrary XML Files with SAS |
Michael C. Palmer,
Cecilia A. Hale |
source |
5 |
| SEUGI |
2001 |
Delivering Clinical Study Data Using SAS/IntrNet [presentation] |
Barrie Nelson,
Robert Davis |
source |
28 |
| SEUGI |
2001 |
Software Validation in Clinical Trial Reporting: Experiences from the Biostatistical & Data Sciences Department [presentation] |
Andrea Baker |
source |
25 |
| SEUGI |
2001 |
The SAS/UK Clinical Data Management Knowledge Solution [presentation] |
Ian Pimblett |
source |
23 |
| PharmaSUG |
2001 |
A Method to Import, Process, and Export Arbitrary XML Files with SAS |
Michael C. Palmer,
Cecilia A. Hale |
|
4 |
| PharmaSUG |
2001 |
Clinical Data Warehouse Development with Base SAS Software and Common Desktop Tools |
Patricia L. Gerend |
|
10 |
| PharmaSUG |
2001 |
Converting CP World Application to SAS V8: A Discussion of Issues and Hurdles Encountered |
Fang Dong |
|
4 |
| PharmaSUG |
2001 |
Developing a SAS Macro Library to Create Standard Clinical Data Summary Reports |
Chad W. Melson,
James T. Decker |
|
10 |
| PharmaSUG |
2001 |
Developing Clinical Data Management Systems using Version 8.1 of SAS/AF |
Steven A. Wilson |
|
10 |
| 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 |
Security Issues for Web-based Applications: Issues and solutions for the safe transfer of Clinical Trials data over the Internet |
Andrew T. Fagan,
Christopher R. Olinger |
|
6 |
| PharmaSUG |
2001 |
Techniques and Strategies Used in Building a SAS-Based Clinical Data Management System |
David L. Ward,
Bound Brook |
|
4 |
| PharmaSUG |
2001 |
The iBiomatics Portal: Leveraging SAS and other technologies to develop a Web-based informatics Portal |
Christopher R. Olinger,
Andrew T. Fagan |
|
6 |
| PharmaSUG |
2001 |
Unit-of-Analysis Programming |
Vanessa C. Hayden,
Fidelity Investments |
|
6 |
| SUGI |
2001 |
Converting CP World Application to SAS V8: A Discussion of Issues and Hurdles Encountered |
Fang Dong |
source |
4 |
| SUGI |
2001 |
Data Modeling in Clinical Data Analysis Projects |
Gajanan Bhat |
source |
6 |
| SUGI |
2001 |
Preparing the SAS Software Programming Environment for Regulatory Submission |
Sunil Kumar Gupta |
source |
9 |
| NESUG |
2000 |
A Submission Development Environment to Support SAS Programming and Related Activities During Clinical Data Analysis |
Barry R. Cohen |
|
6 |
| NESUG |
2000 |
Programming Data Displays Using SAS Software: Meeting Regulatory Requirements for Quality |
Michael A. Walega |
|
11 |
| MWSUG |
2000 |
SAS MACRO Basics and Fundamentals |
Timothy J. Harrington |
|
10 |
| SEUGI |
2000 |
Building an Integrated Clinical Trial Data Management System With SAS Using OLE Automation and ODBC Technology [presentation] |
Alexandre Peregoudov |
source |
9 |
| SEUGI |
2000 |
Clinical Data Warehousing Functionality [presentation] |
Michael Roberson |
source |
39 |
| SEUGI |
2000 |
Creating validated standard output using the System Development Life Cycle (SDLC): A practical approach with the Biometrics Department of Solvay Pharmaceuticals [presentation] |
Saskia Janssen |
source |
37 |
| SEUGI |
2000 |
From Infancy to Maturity: SAS/PH-Clinical Introduction at Fujisawa [presentation] |
Soren Kristiansen |
source |
40 |
| PharmaSUG |
2000 |
A Submission Development Environment to Support SAS Programming and Related Activities During Clinical Data Analysis |
Barry R. Cohen |
|
6 |
| PharmaSUG |
2000 |
Clinical Data Warehouse Functionality |
Peter Villiers |
|
5 |
| PharmaSUG |
2000 |
Data Modeling in Clinical Data Analysis Projects |
Gajanan Bhat |
|
3 |
| PharmaSUG |
2000 |
Delivering Clinical Study Data Using SAS/IntrNet TM |
Damian Ciccariello,
Phil Giangiulio,
Gregory T. Weber |
|
4 |
| PharmaSUG |
2000 |
Developing Clinical Data Management Systems using Version 8 of SAS/AF |
Steven A. Wilson |
|
10 |
| PharmaSUG |
2000 |
SAS Application for Pharmacokinetic Evaluation and Analysis of the Effect of Treatment with a New Antidepressant Drug in a Population with Major Depression |
Lev Sverdlov,
John F. Noble,
Gabriela Nicolau |
|
8 |
| PharmaSUG |
2000 |
Using SAS Macro to Create Data Driven Format Statement for Clinical Data Flagging |
Pilita Canete,
Melanie A. Paules,
Shi-Tao Yeh |
|
5 |
| PharmaSUG |
2000 |
Web-enabling Bioanalytic Laboratory Data Loading and QA Processing |
James Sun |
|
4 |
| SUGI |
2000 |
A Submission Development Environment to Support SAS Programming and Related Activities During Clinical Data Analysis |
Barry R. Cohen |
source |
6 |
| NESUG |
1999 |
Are We Done Yet? Tracking Your Data Management Process with SAS Software |
Daphne E. Ewing,
Barbara McLaughlin |
|
4 |
| NESUG |
1999 |
The Results of Cluster Analysis of Clinical Data Using the Fastclus Procedure |
Lev Sverdlov,
John F. Noble,
Gabriela Nicolau |
|
9 |
| MWSUG |
1999 |
SAS MACRO Basics and Fundamentals |
Timothy J. Harrington |
|
10 |
| SEUGI |
1999 |
Clinical processes and SAS/PH-Clinical, a good marriage? [presentation] |
Patrick Genyn |
source |
24 |
| SEUGI |
1999 |
SAS Applications in the exploring of life beginning data |
Jan Andrzej Domitrz,
Magdalena Topczewska |
source |
4 |
| SUGI |
1999 |
Automating the Management of a Data Warehouse |
Sy J. Truong,
Kathy R. Boussina |
source |
5 |
| WUSS |
1998 |
Getting from Complex Databases to a SAS Analytic File: Tales from the Trenches |
Marcia Stoddard |
source |
6 |
| SEUGI |
1998 |
Getting the most out of SAS/PH-Clinical Software: The future is now |
Patrick O'Donoghue |
source |
49 |
| PharmaSUG |
1998 |
Comparing Clinical Trials Data Using Population Trees |
Lisa McNamara Hlina |
|
7 |
| PharmaSUG |
1998 |
Designing Edit Check Subsystem in SAS/IntrNet |
James Sun,
Monmouth Junction |
|
5 |
| PharmaSUG |
1998 |
Integrating SAS and Adobe Acrobat into Electronic FDA Submissions |
Shylendra Kumar |
|
5 |
| PharmaSUG |
1998 |
Managing SAS/PH-Clinical in a Multiple Instance Environment |
Steven Light,
Paul M. Gilbert |
|
3 |
| SUGI |
1998 |
Developing Risk-Adjustment Models Using SAS Software: An Application in Home Health Care |
Ding Alonzo,
Albert Alva |
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 |
Desing of the Clinical Data Portion of a CANDA to Facilitate Review by CDER |
Kay Obenshain |
source |
5 |
| WUSS |
1997 |
Using SAS as a Clinical Data Repository |
Carl R. Haske |
source |
6 |
| WUSS |
1997 |
Using the Data Warehouse Model is Streamline and Accelerate New Drug and Medical Device Development |
Martin J. Rosenberg |
source |
5 |
| NESUG |
1997 |
Application of SAS/ACCESS Software & DCL to Simplify Management and Analysis of Clinical Data For In Vitro Diagnostic Medical Devices |
Denise Cervelli |
|
6 |
| NESUG |
1997 |
CP-Nexus: A Clinical Data Warehouse at Columbia Presbyterian Medical Center |
Philip Burrowes |
|
4 |
| NESUG |
1997 |
Using PROC SQL to Create Ad Hoc Reports |
Anne Marie Smith |
|
7 |
| MWSUG |
1997 |
Automating Data Transfer from SAS to Microsoft Access |
Kayhan Najmabadi,
Carl R. Haske |
|
3 |
| SEUGI |
1997 |
HP Clinical, a software tool for faster and better checking of clinical data |
Fredrik Hedvall,
Per Haglund,
Jesper Abrahamsson |
source |
9 |
| PharmaSUG |
1997 |
A Global Utility Menu: MUM |
Derek Chalmers |
|
3 |
| PharmaSUG |
1997 |
An Introduction to Data Warehousing, with Emphasis on Its Use With Clinical Data |
Andrew A. Kramer |
|
6 |
| PharmaSUG |
1997 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
|
9 |
| PharmaSUG |
1997 |
Clinical Software Systems Development in SAS/AF |
Carl R. Haske |
|
11 |
| PharmaSUG |
1997 |
Design of the Clinical Data Portion of a CANDA to Facilitate Review by CDER |
Kay Obenshain |
|
5 |
| PharmaSUG |
1997 |
Developing a Suite of Clinical Report Macros for SAS/PH-Clinical |
Paul M. Gilbert,
Steven Light |
|
9 |
| PharmaSUG |
1997 |
Integration of Oracle Clinical databases with SAS/PH-Clinical |
Daniel Gronell |
|
10 |
| PharmaSUG |
1997 |
New Architecture for Linkage of SAS/PH-Clinical Software with Electronic Document Management Systems |
Peter Villiers |
|
7 |
| PharmaSUG |
1997 |
PROC TRANSPOSE as a Useful Intermediary Step in Generating Tables and Listings |
Tony T. Salehi |
|
11 |
| PharmaSUG |
1997 |
Statistical Programming Workflow Process Improvement at Fujisawa USA |
Jay Erdman,
Paul M. Gilbert |
|
4 |
| SUGI |
1997 |
Performance Testing for SAS Running on AIX and Windows NT Platforms |
Paul M. Gilbert,
Steven Light,
Andy Siegel,
Shylendra Kumar |
source |
6 |
| SUGI |
1997 |
Using SAS/AF for Managing Clinical Data |
Carl R. Haske |
source |
6 |
| SESUG |
1996 |
Developing Clinical Software Systems in SAS/AF |
Carl R. Haske |
|
10 |
| NESUG |
1996 |
A Simple Way to Create a Clinical Trial Study Data Dictionary |
Frank Liu |
|
3 |
| NESUG |
1996 |
Conversion of Report Programs to SAS/PH Clinical Templates |
Paul M. Gilbert,
Steven Light,
Andy Siegel,
Jack Jacobsen |
|
9 |
| NESUG |
1996 |
The Role of SAS Programmers in Clinical Trial Data Analysis |
Ming Wang |
|
6 |
| MWSUG |
1996 |
Clinical Data Management Using SAS/AF |
Carl R. Haske |
|
8 |
| WUSS |
1996 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
9 |
| WUSS |
1996 |
ClinOS: A Commercially Available Set of Tools for SAS Programmers |
Lindley Frahm |
source |
8 |
| PNWSUG |
1996 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
|
9 |
| SEUGI |
1996 |
Fully Integrated Systems for Clinical Development in the PharmaceuticalIndustry |
Andrew Lawton |
source |
5 |
| SEUGI |
1996 |
Re-engineering the CAPLA: integrating electronic submissions into the drug development |
Guy Pawson |
source |
34 |
| SUGI |
1996 |
A Simple Way to Create a Clinical Trial Study Data Dictionary |
Frank Liu |
source |
3 |
| SUGI |
1996 |
A Simplified Approach Using Macro Techniques to Create a Clinical Data Reporting System |
Mark Parra |
source |
6 |
| SUGI |
1996 |
An Integrated Clinical Data Management System in SAS |
Carl R. Haske |
source |
6 |
| SUGI |
1996 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
9 |
| SUGI |
1996 |
Fully Integrated Systems for Clinical Development in the PharmaceuticalIndustry |
Andrew Lawton |
source |
3 |
| MWSUG |
1995 |
Object-Oriented Reporting Tools |
Jennifer Savage |
|
3 |
| NESUG |
1995 |
SAS Macros for Bootstrap Samples with Stratification and Multiple Observations per Subject |
Terry Hyslop |
|
8 |
| NESUG |
1995 |
The Choice of SAS Software as the Application Development Tool for Your CANDA |
Barry R. Cohen |
|
9 |
| NESUG |
1995 |
The Integration of SAS/PH Clinical 2.0 into a CANDA Submission Package |
Ivan G. Pawson |
|
3 |
| NESUG |
1995 |
Using Autocall Macros as a Common Codebase of Data Checks for Clinical Trials: Examples Drawn from the Pharmacetutical Industry |
Michael E. Tomb |
|
10 |
| WUSS |
1995 |
ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
9 |
| WUSS |
1995 |
Method Comparison Using Bland-Altman Method |
Meng-Koon Chua |
source |
5 |
| SEUGI |
1995 |
Clinical Dual Entry Principles and Implementation Using FSEDIT |
Jayantha Peiris |
source |
8 |
| SUGI |
1995 |
ClinAccess: A Client/Server Approach to Clinical Trials Data Management and Regulatory Approval |
Martin J. Rosenberg |
source |
7 |
| SEUGI |
1994 |
New Features of SAS/PH-Clinical Software |
Brian Fredric |
source |
6 |
| SUGI |
1994 |
Developing Integrated Clinical Trials Systems: The ClinAccess Experience |
Martin J. Rosenberg |
source |
7 |
| NESUG |
1993 |
Downsizing a Mainframe SAS Applications: Issues of Porting to OS/2 |
Barry R. Cohen |
|
6 |
| WUSS |
1993 |
An Integrated Clinical Trials System Utilizing Client Server and Graphical User Interface Technology |
Martin J. Rosenberg |
source |
7 |
| MWSUG |
1993 |
Using SAS to Create Statistical CANDA (SCANDA) Datasets |
Rocco L. Brunelle,
Debbie Romjue-Bailey,
Bill Huster,
Michelle McNabb,
Sharon Symanowski,
Ted Shaw,
Linda Bergin,
Kathy Koskowicz |
|
5 |
| SEUGI |
1993 |
A Generic Data Listing System Developed for Pharmaceutical Reporting |
Peter Fursdon |
source |
11 |
| SEUGI |
1993 |
Quality and Security of Clinical Data under the SAS System |
Ketil Eidsaunet |
source |
5 |
| SEUGI |
1993 |
The SAS System in Dental Clinical Trials |
Paul Jones |
source |
10 |
| SUGI |
1993 |
An Integrated Clinical Trials System Utilizing Client Server and Graphical User Interface Technology |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1993 |
Clinical Data Processing Efficiency Techniques |
Denis Michel |
source |
6 |
| SUGI |
1993 |
Double-Key Data Entry/Verification in SAS Software: Part of Downsizing a Clinical Data System to the OS/2 Operating System |
Barry R. Cohen |
source |
7 |
| SUGI |
1993 |
Downsizing a Mainframe SAS Application: Issue of Porting to the OS/2 Operating System |
Barry R. Cohen |
source |
6 |
| NESUG |
1992 |
A Powerful Double-key Entry/Verification System in the SAS System for Clinical Trials Data |
Barry R. Cohen |
|
8 |
| NESUG |
1992 |
Use of Code Generation in a Standard Edit Check Facility |
Robert Musterer |
|
4 |
| SUGI |
1992 |
An Integrated Clinical Information System for Pharmaceutical Research |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1992 |
Optimal Clinical Data Structures for Use with SAS/PH-Clinical Software |
Sandra D. Schlotzhauer,
Andrew T. Fagan |
source |
8 |
| SUGI |
1992 |
Validation of the UPLOAD and DOWNLOAD Procedures in the SAS System |
Richard A. Markus,
Jeffrey S. Kouba,
Curt Snyder,
Louise Murphy |
source |
6 |
| MWSUG |
1991 |
The Use of SAS for Developing a Common and Clonable Environment in Support of Research Applications |
Priscilla Van Grevenhof,
Christopher Chute,
David Ballard |
|
5 |
| SEUGI |
1991 |
Features of SAS/PH-Clinical Software |
Gerhard Held,
Patrick O'Donoghue |
source |
10 |
| 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 |
Features of SAS/PH-Clinical Software |
Sandra D. Schlotzhauer |
source |
10 |
| NESUG |
1990 |
Handling Data Exclusions in a Clinical Trials DBMS |
Thomas R. Hoffman |
|
10 |
| SUGI |
1990 |
Constructing Integrated Clinical Information Systems for Traditional and Nontraditional Users |
Martin J. Rosenberg |
source |
6 |
| NESUG |
1989 |
Integrated Clinical Information Systems for Traditional and Non-traditional Users |
Martin J. Rosenberg |
|
8 |
| SEUGI |
1989 |
SAS/AF Software In Clinical Data Applications |
Mark Crawford |
source |
26 |
| SUGI |
1989 |
An Integrated Approach to Computer Systems for NDA Preparation and Presentation |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1989 |
Conversion of Running SAS Software from OS to VMS on a Local Area VAX Cluster |
Ronald L. Copp,
M. Gary Haskin |
source |
3 |
| SUGI |
1988 |
An Integrated Clinical Data Management System at Allergan, Inc. |
Jeffrey S. Kouba |
source |
4 |
| SUGI |
1988 |
Designing a Drug Information System for the FDA Based on the SAS System |
Nancy Bauer |
source |
6 |
| SUGI |
1988 |
Future Direction of Biomedical Information Systems in the Pharmaceutical Industry Based on the SAS System |
James F. Sattler |
source |
4 |
| SUGI |
1988 |
Using the SAS System to Facilitate Clinical Trials Research and NDA Approval |
Martin J. Rosenberg |
source |
7 |
| SUGI |
1987 |
Building a Clinical Data Review System Using SAS/AF Software |
James F. Sattler |
source |
7 |
| SUGI |
1986 |
A SAS/AF Software Based Clinical Data Review System |
Richard E. Raftery,
Martin J. Rosenberg,
James F. Sattler |
source |
3 |
| SUGI |
1986 |
An Integrated Approach to Clinical Data Entry &Management Using Personal Computers and SAS Software |
Robert W. Heinemeyer |
source |
6 |
| SUGI |
1986 |
Linking Medical and Research Data Bases with TMR and SAS Software |
Jean A. Dozier,
Lawrence H. Muhlbaier |
source |
4 |
| SUGI |
1985 |
A Parameter Passing Utility for SAS Programs |
Paul M. Gilbert,
Mark Klompas,
David J. O'Sullivan |
source |
5 |
| SUGI |
1985 |
The Use of SAS Software as a Data Base for Compiling Safety Data on New Pharmaceuticals |
David E. Tappe |
source |
5 |
| SUGI |
1984 |
A SAS Data Base Updating System for Clinical Data |
Paul J. Mailloux,
George C.S. Yu |
source |
6 |
| SUGI |
1983 |
SAS: A Data Management Tool Generator |
Barbara Belasco,
Suzanne Ives |
source |
6 |
| SUGI |
1982 |
Interactive Graphics for Clinical Trials |
Judith A. Sromovsky |
source |
6 |
| SUGI |
1982 |
Personnel and Program Management with SAS |
William H. Seaton |
source |
5 |
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