Failed Clinical Trials: How to Benefit From Negative Experience
Source category: Trends & Technology
Author collections: Anna Amosova · Yuliia Cherednichenko
THE COMMUNITY ARCHIVE
PHUSE 2024 Papers ArchivePage 5
Browse indexed publications from PHUSE in 2024. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
403 papers · Showing 161–200
FAIRification of Preclinical Data in Radiation Oncology Through Data Standardisation and Formalised Representation
Source category: Data Standards & Governance
FDA Business Rules and CDISC Open Rules: The Road to Adoption
Source category: Data Standards & Governance
Author collections: Nick De Donder
Fidelity Assessment of Real-World Data (RWD) as an External Control Arm
Source category: Poster Presentations
Author collections: Mohamed Sameer · Umayal Annamalai
Fight the Power – Supporting Study Teams with Niche R Packages for Delivering Statistical Packages
Source category: Open Source Technologies
Author collections: Ben Arancibia · Alice Ehmann
Finding Out Subject Compliance Data in Clinical Trials
Source category: Data Handling & Engineering
Fostering Excellence: What It Takes to Build a World-Class Team of R and Shiny Developers
Source category: People Leadership & Management
Author collections: Aga Rasińska · Vedha Viyash
Four Languages, Three Years: An Agile Approach to Data Science
Source category: Professional Development
Author collections: Shannon Haughton
From Contributor to Leader: How Open Source Nurtures Innovative Leadership
Source category: Leadership Through Innovation
Author collections: Mark Bynens
From Data Iron to Data Gold
Source category: Poster Presentations
Author collections: Ashwini Yermal Shanbhogue
From Missing to Meaningful: Tackling Partial Dates in Clinical Trials
Source category: Poster Presentations
Author collections: Bhargav Koduru · Santosh Reddy Lekkala
From Senior Programmer to Head of Function: Taking that Leap of Faith
Source category: Professional Development
Author collections: Roxanne McGuire
From Source to Submission: Getting the Best of Multiple Standards
Source category: Data Standards & Governance
Author collections: Jules van der Zalm · Berber Snoeijer
From Stowaway to Admiral, a R-iveting Tale of a Hierarchical Composite Endpoint’s Journey from Idea to Dataset
Source category: Analytics & Statistics
Author collections: Nicole Major
Front-Loading Statistical Programming Using Automated Synthetic Data
Source category: Emerging Trends
Future Clinical Data Submission Standards: CDISC, FHIR, OMOP, or Hybrid Model
Source category: Real-world Evidence
Author collections: Jeffrey Abolafia
Future Proof Your AI Investment
Source category: Machine Learning, AI and Large Language Models
Author collections: Alistair Dootson
Future-Proofing Clinical Data Sciences: The Pivotal Role of Therapeutic Area Proficiency
Source category: Therapeutic Areas Specific Topics
Author collections: Sascha Ahrweiler
Generative AI: A Clinical Programmer’s Friend!
Source category: Coding Tips & Tricks
Author collections: Karl Kennedy
Genomic Biomarkers: Development of a Pipeline for Distilling Patient Mutation Status
Source category: Analytics & Statistics
Author collections: Karl Brand
Getting a Prompt Response Using ChatGPT and SAS
Source category: Coding Tips & Tricks
Author collections: Stephen McCawille
Getting More Efficiency from Your Instruments Using CDISC
Source category: Standards Implementation
Author collections: Frank Menius
Getting Started with Quarto
Source category: Poster Presentations
Author collections: Kevin Putschko
Getting Started with the New CDISC Analysis Results Standard
Source category: Data Standards & Governance
Author collections: Bess LeRoy
Good Statistical Monitoring {gsm}: An R Package for Risk-Based Monitoring and Clinical Trial Analytics
Source category: Analytics Risk-based Monitoring
Author collections: Matt Roumaya · Jeremy Wildfire
Graphical Overview for Understanding, Planning and Execution of Statistical Programming Activities Using Neo4j
Source category: Data Visualisation
Author collections: Madhusudhan Reddy Mule Venkata
Guidance Beyond the SDTM Implementation Guide
Source category: Data Standards & Governance
Author collections: Kristin Kelly · Michael Beers
Guidance Beyond the SDTM Implementation Guide
Source category: Data Standards & Governance
Author collections: Kristin Kelly · Michael Beers
Harmonisation and Interoperability Between OMOP CDM and CDISC SDTM
Source category: Real-world Evidence
Author collections: Dhruba Sikdar
Harmonising FDA and PMDA Submission Requirements
Source category: Submissions & Agencies
Harness the Data’s Potential in a Clinical Trial Process
Source category: Poster Presentations
Author collections: Eva Kelty · Catharina Dahlbo
Harnessing AI for Health Equity and Inclusivity in Risk-Based Monitoring
Source category: Analytics Risk-based Monitoring
Hi. I Am a Chatbot. How Can I Help You? Enhancing the Reliability and Traceability of Large Language Models
Source category: Machine Learning, AI and Large Language Models
Author collections: Vicky Poulsen
HoW - Your First Submission in R
Source category: Programming Languages
Author collections: Kristian Trøjelsgaard · Steffen Falgreen Larsen
How Agile Can you Be? Looking at Statistical Programming as a Software Development Process
Source category: Leadership Through Innovation
Author collections: Oliver Wirtz
How No-Code Visualisation is Fast Becoming an Asset for Data Engineering and Data Science Teams
Source category: Data Visualisation
Author collections: Pritesh Desai
How R Pharma? An Overview of How Our Industry Is Adopting the R Programming Language
Source category: Open Source Technologies
Author collections: Ross Farrugia · Ari Knoph
How to Be a Neuro-Inclusive Leader
Source category: People Leadership & Management
Author collections: Laura Needleman
How to Handle Huge Amounts of Output Tables – A Systematic Approach
Source category: Scripts, Macros & Automation
How to Monitor SDTM Data Health
Source category: Data Handling & Engineering