Py R You SASing Me: Converting SAS Dataset Filters into R and Python
Source category: Poster Presentations
Author collections: Matt Metherell
THE COMMUNITY ARCHIVE
SAS Conference Papers 2024Page 16
Indexed 2024 papers and presentations across the available conference sources. Each record retains the original author text and available material links.
866 papers · Showing 601–640
Q&A with the macro maven: is sql our lingua franca?
Source category: Anything Data
Author collections: Ronald Fehd
QTLs/Acceptable Ranges: How to Set Thresholds
Source category: Analytics Risk-based Monitoring
Qualitative and Quantitative Data Analysis and Visualization Using Python
Source category: Lectures
Author collections: Lida Gharibvand
Quality Assurance within Statistical Programming: A Systemic Way to Improve Quality Control
Source category: Strategic Implementation & Innovation
Author collections: Todd Case · Margaret Huang
Quality Tolerance Limits: Understanding the Added Value and Statistical Need of Implementing QTLs to Assure Subject Safety and Data Quality
Source category: Analytics Risk-based Monitoring
Author collections: Agnes Verhoeven · Nathalie van Borrendam
Quarto 1.4: Revolutionizing Open-source Dashboarding Capabilities
Source category: Data Visualization and Reporting
Author collections: Joshua Cook · Kirk Paul Lafler
R and SAS: How They Can Co-Exist. Approaches and Considerations in Adopting Multiple Languages in Clinical Trial Analysis and Reporting
Source category: Poster Presentations
Author collections: Bill Qubeck · Rakesh Gotiwale
R Evolution: A Guide for Training SAS Programmers
Source category: Trends & Technology
R Package Validation Maintenance – We Didn’t Know What We Didn’t Know
Source category: Open Source Technologies
Author collections: Mark Sellors
R Scripts for Streamlining Non-Compartmental Analysis (NCA): A Data Programmer’s Dream
Source category: Scripts, Macros & Automation
Author collections: Valentin Legras
R Shiny and SAS Integration: Execute SAS Procs from Shiny Application
Source category: Advanced Programming
Author collections: Samiul Haque · Jim Box
R Shiny Application to Optimise Review of Multiple Myeloma Efficacy Data Listings
Source category: Poster Presentations
Author collections: Dinesh Putluri
R Shiny: From Code to Cloud
Source category: Open Source Technologies
R-Guru Resource Hub for Rapid R Learning
Source category: Professional Development
Author collections: Sunil Gupta
Readlog Utility: Python based Log Tool and the First Step of a Comprehensive QC System
Source category: Solution Development
Real-Time Data Cleaning -– A Reality: When Automation Connects Digitised, Centralised, Standardised Data, it Transforms into Real-Time Data Cleaning
Source category: Poster Presentations
Author collections: Vidya Muthukumar
Real-World Application of Natural Language Processing: More Than Just Sentiment Analyses
Source category: Analytics & Statistics
Author collections: Scott McClain
Real-World Data – What is Fit for Purpose?
Source category: Poster Presentations
Author collections: Berber Snoeijer · Parag Shiralkar
Reconstruction of Individual Patient Data (IPD) from Published Kaplan-Meier Curves Using Guyot’s Algorithm: Step-by-Step Programming in R
Source category: Real World Evidence and Big Data
Author collections: Ajay Gupta
Recruiting Neurodivergent Candidates using the Specialisterne Approach
Source category: Leadership Skills
Author collections: Patrick Grimes
Recruiting the Best Talent and Developing them within the Organisation
Source category: Professional Development
Author collections: Naveen Kommuru · Madhusudhan Reddy Papasani
REDCap © Your SAS Friend: Playing around in the API Playground
Source category: Data Collection, Management, and Manipulation (DCMM)
Author collections: Brooke Ellen Delgoffe
Redefining ‘Interactive’ Dashboards to Enhance Safety Data Review
Source category: Data Visualisation
Regression Analysis Made Easy Using SAS Studio
Source category: Lectures
Author collections: Zheyuan Yu
Reimagining reporting and Visualization during clinical data management
Source category: Data Visualization and Reporting
Author collections: Vandita Tripathi · Manas Saha
Relative Dose Intensity in Oncology Trials: A Discussion of Two Approaches
Source category: Statistics and Analytics
Author collections: Christiana Hawn · Dhruv Bansal
Relax with Pinnacle 21’s RESTful API
Source category: Metadata Management
Author collections: Trevor Mankus
Replicating SAS® Procedures in R with the PROCS Package
Source category: Advanced Programming
Author collections: David Bosak
Replicating SAS® Reports in R: The REPORTER Package
Source category: Visualization and Reporting (VR)
Author collections: David J. Bosak
Resolving Algorithmic SMQs – Using AI Chatbot and Other Techniques
Source category: Coding Tips & Tricks
Author collections: Stephen Prust
Responsible AI in Protocol Design for Use in Digital Data Flow
Source category: Machine Learning, AI and Large Language Models
Author collections: Alistair Dootson
Return On Investment as a Financial Feng-Shui in Data Science. Practical Strategies to Get Projects Accepted and Evaluated
Source category: Leadership Through Innovation
Revelation and Exploration for COVID-19 Data: Visual Data Insights™ and an InfoGeographic Atlas
Source category: Analysis & Advanced Analytics
Author collections: LeRoy Bessler
Revolutionise Clinical Trial Data Exploration with {teal}
Source category: Data Visualisation
Author collections: Dony Unardi · Chendi Liao
Revolutionising Informed Consent Form Analysis with Generative AI: Enhancing Efficiency in Drug Development and Data Re-Use
Source category: Innovation Challenge
Revolutionising Literature Reviews with a GPT-Assisted Tool: Enhanced Search, Extraction and Visualisation
Source category: Machine Learning, AI and Large Language Models
Revolutionising SDTM Transformation in Pharma: Introducing {oak} – An Open-Source R Package Sponsored by CDISC COSA
Source category: Open Source Technologies
Author collections: Rammprasad Ganapathy
Revolutionising Statistical Programming Activities – StatProg CoPilot Consortium Leveraging on Open-Source World and Generative AI
Source category: Machine Learning, AI and Large Language Models
Risk-Based Monitoring Using AI/ML Detection of Systematic Bias in Clinical Data
Source category: Innovation Challenge
Author collections: Kostiantyn Drach · Sergey Glushakov