Large-Scale Time Series Forecasting in Model Studio
Source category: Masterpiece Theater Demos
Author collections: Danny Modlin
THE COMMUNITY ARCHIVE
SAS Conference Papers 2025Page 13
Indexed 2025 papers and presentations across the available conference sources. Each record retains the original author text and available material links.
923 papers · Showing 481–520
Last Observation Carried Forward (LOCF) in Longitudinal Clinical Studies: Adopting a Functional Approach to Imputing Missing Values Using PROC FCMP
Source category: Pharma and Life Sciences
Author collections: Troy Hughes
Last Observation Carried Forward (LOCF) in Longitudinal Clinical Studies: Adopting a Functional Approach to Imputing Missing Values Using PROC FCMP, the SAS® Function Compiler
Source category: Solutions Development
Author collections: Troy Hughes
Last Observation Carried Forward (LOCF) in Longitudinal Patient Studies: A Functional Approach to Imputing Missing Values Using PROC FCMP, the SAS® Function Compiler
Source category: Advanced Programming
Author collections: Troy Hughes
Last Observation Carried Forward (LOCF) in Longitudinal Pharmaceutical and Clinical Trials Studies: Adopting a Functional Approach to Imputing Missing Values Using PROC FCMP, the SAS Function Compiler
Source category: Data Collection, Management, and Manipulation (DCMM)
File inside source ZIP: 61-Troy-Hughes-supporting-document.pdf
Author collections: Troy Hughes
Launching CDISC CORE v1.0: A New Standard for Automated Study Conformance
Source category: Standards Implementation (SI)
Author collections: Tomás Sabat Stofsel · Nick De Donder
Lazy Evaluation: A Comparative Analysis of SAS MACROs and R Functions
Source category: Intermediate and Advanced Coding Skills (IACS)
File inside source ZIP: 30-Chen-Ling-supporting-document.pdf
Author collections: Chen Ling
Leadership Presentations: Adapting to the Future: How CROs are Evolving to Meet the Shifting Landscape of Programming and Analysis Generation
Source category: Leadership
Author collections: Lavanya Peddibhotla
Leadership Presentations: Future Leadership Requires Being Uncomfortable with Change
Source category: Leadership
Author collections: Chris Decker
Leadership Presentations: How and Why, Statistical Programming Leaders Need to Plan for Next Generation Statistical Programming
Source category: Leadership
Author collections: Francis Kendall
Leadership Presentations: Leadership in the Next Generation of Statistical Programming and Data Science
Source category: Leadership
Author collections: Francis Kendall · Li Zheng
Leadership Presentations: Turning Disruption into Opportunity – Guiding Teams Through AI-Powered Transformation
Source category: Leadership
Author collections: Li Zheng
Leading Through Change: Motivating Programming Teams During Mergers and Integrations
Source category: Leadership and Professional Development
Author collections: Shefalica Chand
Leading Through Talents
Source category: People Leadership & Management (PM)
Author collections: Karolina Filar
Leading with Emotions Positive Leadership and the Power of Optimism
Source category: People Leadership & Management (PM)
Learning by Doing: Empowering Professional Growth Through Collaborative Python Automation
Source category: Professional Development
Learning to Skate, Pedal and Drive – Change Leadership in the World of Agile Delivery
Source category: Professional Development
Author collections: Eileen Ching
Learnings from a Multistakeholder Estimands Project: A White Paper Journey
Source category: Professional Development
Author collections: Matt Baldwin · Banoo Madhanagopal
Let the Machine Do the Coding: A SAS-Based Framework for Automating TFL Generation with ARS Metadata
Source category: Scripts, Macros & Automation
Let’s Talk Future: Automated Solution for Standard-Compliant Data, Mock Shells and TFL Generation Using Open-Source Platforms with AI
Source category: Scripts, Macros & Automation
Author collections: Inderjeet Arora · Abhijeet Arora
Lets Not Get Lost in Translation: Open-Source Adoption at Novartis
Source category: Open Source Technologies (OS)
Author collections: Orla Doyle
Leveraging AI for Seamless SAS to R Migration: Challenges and Opportunities
Source category: Machine Learning, AI & Large Language Models (ML)
Leveraging Gen AI (ChatGPT, Gemini) API for Advanced Biometric Analysis in SAS, Python and R
Source category: Artificial Intelligence and Machine Learning
Author collections: Kevin Lee
Leveraging Generative AI for SAS Macro Testing and Test Data Preparation
Source category: Trends & Technology (TT)
Leveraging HASH Technologies for Enhanced Clinical Trial Programming Efficiency
Source category: Scripts, Macros & Automation
Leveraging Health Technology Assessment (HTA) for Market Access: A Statistical Programming Perspective on German HTA Submission
Source category: Real World Evidence and Big Data
Author collections: Rachana Agarwal
Leveraging LLM for R Shiny App Code Development: A Case Study with Event Prediction
Source category: Machine Learning, AI & Large Language Models (ML)
Author collections: Yirong Cao
Leveraging NLP for Clinical Trial Efficiency: Development of a Protocol-Aware AI Chatbot
Source category: Machine Learning, AI and Large Language Models
Leveraging on R Packages for HTA Analysis & Reporting: Our Developer Journey
Source category: Open Source Technologies (OS)
Leveraging Open-Source Python Tools to Improve Efficiency and Transparency in Clinical Trials
Source category: Open Source Technologies (OS)
Author collections: Sohan Lal
Leveraging previous study data for Extension studies: Structuring Subject and Participant Level Analysis datasets using CRF data
Source category: Submission Standards
Leveraging SAS® DATA Step to Evaluate Government Programs by Repurposing Administrative Data: Strategies for Narrowing Data Scope, Imputing Missing Data, Mitigating Bias, and Streamlining Reporting
Source category: Solutions Development
Author collections: Bert Cisneros · Richard Rivera
Leveraging Self-supervised Learning to Synthesize Data
Source category: AI and Emerging Technology
Leveraging SQL and SAS for Analysis-Ready Datasets
Source category: Beyond the Basics
Author collections: Shavonne Standifer
Leveraging SQL and SAS for Analysis-Ready Datasets
Source category: Data Collection, Management, and Manipulation (DCMM)
File inside source ZIP: 93-Shavonne-Standifer-supporting-document.pdf
Author collections: Shavonne Standifer
Leveraging Vector Databases to Enhance AI Applications in Pharmaceutical Research
Source category: Machine Learning, AI and Large Language Models
Author collections: Angu Sundaresh Krishna Kumar · Ramanathan Srinivasan
Life Cycle for the Management of ODS Regulatory Referenced Deliverables
Source category: Poster Presentations
Listing Shell To Sas Program Automation Tool
Source category: Advanced Programming
Author collections: Balaji Ayyappan
LLMs in Clinical Trials: Overcoming Challenges Related to Patient Confidentiality and Intellectual Property
Source category: Machine Learning, AI and Large Language Models
Author collections: Amit Javkhedkar
Logistic Regression Odyssey on a Small Sample Due to Rare Cancer
Source category: Analysis & Advanced Analytics
Author collections: Brandy Sinco