Implementing New Technical Guidance: A Sponsor Experience with the April 2018 CBER Vaccine Guidance
Source category: Data Standards and Governance
Author collections: Liping Zhang
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PHUSE Papers ArchivePage 63
Browse indexed publications from PHUSE. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
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3,716 papers · Showing 2481–2520
Improve Programming and Traceability with Datasets for Statistical Analysis Results
Source category: Analytics and Statistics
Author collections: Henning Pontoppidan Föh · Jeppe Juul
Improving the Attractiveness of a CRO Career: The PHUSE CRO Summit
Source category: Poster Presentation
Author collections: Christopher Hurley · Jeff Abolafia
Incidence Rate – Incidence Proportion Prevalence Rate and Other Related Statistics
Source category: Analytics, Big Data & Statistics
Author collections: Nadiia Pukhliar
Incomplete Data in Longitudinal Studies: Continuous and Dichotomous Outcome
Source category: Analytics and Statistics
Industry Experiences Submitting Standardized Study Data to Regulatory Authorities
Source category: Submissions & Agencies
Author collections: Janet Low · Vincent Guo
Inlier Analysis Using Mahalanobis Distance in Central Monitoring
Source category: Analytical Risk-based Monitoring
Author collections: Abhyuday Chanda
Innovation in Exploratory/Regulatory Clinical Trial Analyses
Source category: Submissions & Agencies
Author collections: Tadeusz Lewandowski
Integration of Biomarkers Data in Clinical Trials
Source category: Trends & Technology
Author collections: Prakash Dev
Interactive Adverse Event Data Visualization Using R Shiny
Source category: Data Visualisations
The publisher-listed Slides file is currently unavailable.
Author collections: Aditya Rachoori · Mukul Mittal
Interactive Real-world Data Analysis Using Machine Learning Algorithms
Source category: Poster Presentation
Author collections: James Kim
Is AI Our Destiny? Data-driven Decision-making in a Dynamic Landscape Using SAS Viya
Source category: Machine Learning
Author collections: Aman Bahl · Hrideep Antony
Is R Language a Reliable and Efficient Tool for Programming SAS Datasets or is it just Art for Art’s Sake?
Source category: Data Handling
It’s All About the Base SAS Procedures
Source category: Coding Tips & Tricks
Author collections: Jane Eslinger · Stijn Rogiers
Key Performance Characteristics of the Dev-QC-Prod Process
Source category: Poster Presentation
Author collections: Andy Richardson · Derek Hummerston
Lab Master List File Makes Easy
Source category: Standards Implementation
Author collections: Clio Wu
Last Mile Problem to Manage Data Transformation for Analysis & Reporting
Source category: Software Demonstration
Author collections: Rajaram Venkatesan
Leading Innovation and Change via Olympic Goals
Source category: Leadership & Innovation
Author collections: Ross Farrugia
Let CDISC Be
Source category: Standards Implementation
Author collections: Roxane Debrus · Silvia Faini
Let Food Be Thy Medicine and Medicine Be Thy Food
Source category: Standards Implementation
Author collections: Fatima Kassim · Louella Schoemacher
Let Us Trace Back to the Beginning from the End
Source category: Data Standards and Governance
Author collections: Madhusudhan Papasani · Swathi Kotla
Let Your SDTM or ADaM SAS Code Update Itself Whenever the Specs Change
Source category: Coding Tips & Tricks
Author collections: Joseph Hinson
Let’s Include Every Data Point: Overview of Analytical Risk-based Monitoring with Spotfire Visualisations
Source category: Analytical Risk-based Monitoring
Leveraging Metadata for SDTM QC Automation
Source category: Coding Tips & Tricks
Author collections: Sunil Gupta
Leveraging Python to Generate Define-XML v2.0
Source category: Trends & Technology
Author collections: Larry Sleeper
Life Science's Process Automation of Systems and Solutions
Source category: Software Demonstration
Author collections: Lucky Singh
LOCF Programming with 6-step Index Mapping
Source category: Coding Tips & Tricks
Machine Learning for CDISC Specification Recommendations
Source category: Machine Learning
Author collections: Brandon Welch
Machine Learning–AI is the Future – What Now?
Source category: Poster Presentation
Author collections: Priyank Patel
Macro Trio in SAS: Dataset Comparison and Reporting
Source category: Data Handling
Make Your Data Come Alive
Source category: Data Visualisations
Author collections: Oleksandr Babych
Making the Invisible Visible: People, Ideas and Conferences
Source category: Poster Presentation
Author collections: Gayathri Kolandaivelu · Sangeeta Bhattacharya
Managing an International Statistical Programming Team in the Era of New Ways of Working
Source category: Personnel Management
Author collections: Harris Kampouris
Managing Data Flow for Wearables, Apps and Sensors
Source category: Data Handling
Managing in a Crisis: Mobilising an Army of 20,000
Source category: Personnel Management
Author collections: Jennifer Dootson
Managing Simultaneous Drug Submissions with Breakthrough Designations – Lessons Learned from a Programming Perspective
Source category: Submissions & Agencies
Managing TFL Development in LSAF 5.3 Using SAS and R Code
Source category: Application Development
Author collections: Jean-Marc Ferran · Stijn Rogiers
Metadata to Support ADaM Generation
Source category: Data Standards and Governance
Author collections: Anne Katrine Alsing · Jeppe Juul
Metadata-based Auto-programming Process – Part 3: Virtual AI Assistant to Automate – TLG Generation
Source category: Machine Learning
Author collections: Harry Chen
MI for MI, or How to Handle Missing Information with Multiple Imputation
Source category: Analytics and Statistics
Author collections: Daria Shamaida