PharmaSUG 2022 Interactive Schedule Grid

Welcome to the PharmaSUG 2022 Interactive Schedule Grid. Use the links below to jump to a portion of the schedule, then click on a paper title to view the abstract and other details!

(Revised May 16, 2022)

Monday AM Early

Monday AM Late

Monday PM Early

Monday PM Late

Tuesday AM Early

Tuesday AM Late

Tuesday PM Early

Tuesday PM Late

Wednesday AM Early

Wednesday AM Late



Monday AM Early

Section 8:00 AM 8:15 AM 8:30 AM 8:45 AM 9:00 AM 9:15 AM 9:30 AM 9:45 AM
Advanced Programming From %let To %local; Methods, Use, And Scope Of Macro Variables In Sas Programming Twenty Ways to Run Your SAS® Program Faster and Use Less Space Fast hashes for complex joins
Applications Development ADCM Macro Design and Implementation How to create SDTM SAS transport datasets using Python
Data Visualization and Reporting Designing and Implementing Reporting Meeting Federal Government Accessibility Standards with SAS® Introduction to Annual Reporting for Beginners!
Hands-On Training Team Code Collaboration in RStudio with Git
Leadership Skills Visualization of Programming Activities and Deliveries for Multiple Clinical Studies Agile innovation – an adaptive approach to transformation in Clinical Research Organizations Schoveing Series 5: Your Guide to a Quality NO
Quick Tips You Don't Know Where That's Been! Pitfalls of Cutting-and-Pasting Directly into the Programming Work Flow Programmed Value-Level Metadata for Define XML 2.0 How Simple Table of Content can make CSR Table, Listings, and Figures Easily Accessible? Standardizing Procedures for Generating Dose Proportionality Figures to Improve Programming Efficiency Using Boolean Functions to Excel at Validation Tracking Auto Extraction of the Title Description in Table Report
Statistics and Analytics Estimating Differences in Probabilities (Marginal Effects) with Confidence Interval A SAS macro wrapper for an efficient Deming regression algorithm via PROC IML: The Wicklin method The Emerging Use of Automation to Address the Challenge of Cross-Table Consistency Checking of Output Used in the Reporting of Clinical Trial Data
Strategic Implementation New Digital Trends and Technologies in Clinical Trials and Clinical Data Management Quality Control With External Code Applying Agile Methodology to Statistical Programming

Monday AM Late

Section 10:30 AM 10:45 AM 11:00 AM 11:15 AM 11:30 AM 11:45 AM
Advanced Programming Look Up Not Down: Advanced Table Lookups in Base SAS SAS Standard Programming Practices – Handy Tips for the Savvy Programmer
Applications Development Running Parts of a SAS Program while Preserving the Entire Program Reconstruction of survival curves: An approach of comparing study drug curve with the standard of care digital survival curve Evaluating and Correcting Nominal and Actual Relative Time Measurements in Clinical Trials PK data
Data Visualization and Reporting SAS ® ODS Application of Interactive and Informative Clinical Trial Reports Building Dashboards for Data Review and Visualization using R Shiny Generating Forest and Kaplan Meier graphs for Regulatory Submission: Comparison of SAS and R
Hands-On Training What’s black and white and sheds all over? The Python Pandas DataFrame, the Open-Source Data Structure Supplanting the SAS Data Set
Leadership Skills In the world of decentralized trials, do we still need to do double programming?
Quick Tips SAS® Studio: Creating, Analyzing, and Reporting Data with Built-in & Custom Tasks Getting odds ratio at Preferred Term (PT) level for safety analysis in R Avoid Common Mistakes in Preparing the BIMO Deliverables
Statistics and Analytics Derivation of Efficacy Endpoints by iRECIST Criteria: A Practical Approach Validation of Statistical Outputs Using Automation Two Methods to Collapse Two Treatment Groups into One Group
Strategic Implementation Lessons learned while switching over to SAS Studio from SAS Desktop. Enterprise-level Transition from SAS to Open-source Programming for the whole department

Monday PM Early

Section 1:00 PM 1:15 PM 1:30 PM 1:45 PM 2:00 PM 2:15 PM 2:30 PM 2:45 PM
Advanced Programming A Programmer’s Perspective on Patient reported Outcomes in Oncology Trials
Applications Development A Shiny App to Spell Check an ADaM Specification A Multilingual Shiny App for Drug Labelling in Worldwide Submission
Data Visualization and Reporting Generating Bar Chat and Mutipanel graphs using SAS vs R for Regulatory Submission Metadata Driven Approach for Creation of Clinical Trial Figures
Hands-On Training Learn to Visualize Market Analysis Data Using SAS® PROC GEOCODE, PROC GINSIDE, and Prescriber Characteristics Following Your Footsteps: Maintaining Traceability in ADaM Datasets
Leadership Skills Developing and running an in-house SAS Users Group Leading into the Unknown? Yes, we need Change Management Leadership Advanced Project Management beyond Microsoft Project, Using PROC CPM, PROC GANTT, and Advanced Graphics
Quick Tips Data Masking How to create BARDA Safety report for Periodic review Smart Batch Run your SAS Programs A Beginner’s Guide to Create Series Plots Using SGPLOT Procedure: From Basic to Amazing Excel the Data Form(at) or Function? A Celebratory Exploration of Encoding and Symbology
Statistics and Analytics How RANK are your deciles? Using PROC RANK and PROC MEANS to create deciles based on observations and numeric values. Win Ratio Simulation For Power Calculation Made Easy
Strategic Implementation Implementing and Achieving Organizational R Training Objectives Vendor Audit: What it is and What to Expect from it Finding Accord: Developing an eCOA Data Transfer Specification (DTS) All Can Agree On.

Monday PM Late

Section 3:30 PM 3:45 PM 4:00 PM 4:15 PM 4:30 PM 4:45 PM
Advanced Programming R syntax for SAS programmers
Data Visualization and Reporting A Dynamic Data Visualization Report for Efficacy Endpoints of Early Oncology Study R And SAS in Analysis Data Reviewer’s Guide and Data Visualization
Hands-On Training Everything is Better with Friends: Using SAS in Python Applications with SASPy and Open-Source Tooling (Getting Started)
Leadership Skills Empower Your Programmers: Get the Most from Your Programming Team
Quick Tips Monitoring SDTM Compliance in Data Transfers from CROs
Statistics and Analytics An Expanded Set of SAS Macros for Calculating Confidence Limits and P-values Under Simon’s Two-Stage Design Accounting for Actual and Planned Sample Sizes Analysis of sample size calculations in clinical trial – errors, pitfalls and conclusions
Strategic Implementation PROC FUTURE PROOF 1.2 - Linked Data

Tuesday AM Early

Section 8:30 AM 8:45 AM 9:00 AM 9:15 AM 9:30 AM 9:45 AM
Advanced Programming Pharmacokinetics Concentration Data Deciphered – Presenting an Oncology Case Study Functions (and More!) on CALL!
Applications Development Exploring R as a validation tool for statistical programming in clinical trials A SAS Macro to Aid Assembly Review of M5 Module in Submission Checking Compliance of CDISC SDTM Datasets Utilizing SAS Procedures.
Data Standards Redefining Industry Standards: Making CDASH and SDTM Work Together from the Database Level A Tale of Two CDISC Support Groups - Supporting CDISC Standards is Anything but Standard Clinical Classifications: Getting to know the new kid on the QRS block!
Data Visualization and Reporting GIS Challenges of Cataloging Catastrophes: Serving up GeoWaffles with a Side of Hash Tables to Conquer Big Data Point-in-Polygon Determination and Supplant SAS® PROC GINSIDE Copy comments: A Dynamic solution to solve the age-old need Rita: Automated Transformations, Normality Testing, and Reporting
Hands-On Training How to use Git with your SAS projects
Leadership Skills Exciting Opportunities for Fresher Rethinking Programming Assignments How Clear Communication & Expectations Improve the CRO – Sponsor Relationship: the CRO Perspective
Medical Devices Digital Health Technology in Clinical Trials: Opportunities, Challenges and Biometrics Future Re-imagined
Real World Evidence and Big Data Understanding Administrative Healthcare Datasets using SAS programming tools. Automation of Variable Name and Label Mapping from Raw Data to Analysis Data Standards
Statistics and Analytics Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT® Software

Tuesday AM Late

Section 10:30 AM 10:45 AM 11:00 AM 11:15 AM 11:30 AM 11:45 AM
Advanced Programming Macro for Working with Zip Transport Files from the Web: The Case of the Medical Expenditure Panel Survey From Codelists to Format Library
Applications Development Using the SAS System® with the National Center for Biotechnology Information resources and Immune Epitope Database to explore the realm of potential SARS-CoV-2 variants. Working with Dataset-JSON using SAS©
Artificial Intelligence (Machine Learning) Data Mining of Tables: The Barrier for Automation
Data Standards Subjects Enrolled in Multiple Cohorts within a Study- Challenges and Ideas From the Laboratory Toxicity Data Standardization to CTCAE Implementation ADaM Child Data Set: An Alternative Approach for Analysis of Occurrence and Occurrence of Special Interest
Data Visualization and Reporting SAS® PROC GEOCODE and PROC SGMAP: The Perfect Pairing for COVID-19 Analyses
Hands-On Training Getting Started Using SAS Proc SGPLOT for Clinical Graphics
Medical Devices Measuring Reproducibility and Repeatability of an AI-based Quantitative Clinical Decision Support Tool Having a Medical Decision Point
Real World Evidence and Big Data RWD (OMOP) to SDTM (CDISC): A primer for your ETL journey Generating Real World Evidence On The Likelihood Of Metastatic Cancer In Patients Through Machine Learning In Observational Research: Insights For Prevention
Strategic Implementation Ensuring Distributed Data custody on Cloud Platforms Cyber Resiliency – Computing Platform Modernization Getting a Handle on All of Your SAS® 9.4 Usage
Submission Standards Lessons Learned from Using P21 to Create ADaM define.xml with Examples Damn*t, The Define!

Tuesday PM Early

Section 1:00 PM 1:15 PM 1:30 PM 1:45 PM 2:00 PM 2:15 PM 2:30 PM 2:45 PM
Advanced Programming A Quick Look at Fuzzy Matching Programming Techniques Using SAS® Software Quarto for Creating Scientific & Technical Documents ISO 8601 and SAS®: A Practical Approach
Applications Development SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Listings Optimizing TLF Generation: Titles and Footnotes Applying a New Idea to a Basic Approach Connecting SAS® and Smartsheet® to Track Clinical Deliverables
Artificial Intelligence (Machine Learning) What's your model really doing? Human bias in Machine Learning Potential features analysis affect Covid-19 spread Generating statistical Tables, Listings, and figures using machine learning, deep learning, and NLP techniques that provide more efficiency to the statistical programming process
CDISC/Regulatory CORE Status and Next Steps CORE, a Community-Driven Solution
Data Standards Upgrading from Define-XML 2.0 to 2.1 Above and Beyond Lesion Analysis Dataset (ADTL) Making an ADaM Dataset Analysis-Ready
Hands-On Training Using Tplyr to Create Clinical Tables
Real World Evidence and Big Data Introduction to Synthetic Control Arm
Strategic Implementation Just Say No to Data Listings! Quality Gates: An Overview from Clinical SAS® Programming Perspective External R Package Qualification Process in Regulated Environment
Submission Standards FDA Advisory Committee Meetings– A Statistical Programmer’s Survival Guide Real Time Oncology Review Readiness from Programming Perspective eCOA and SDTM: Bring Order to the Wild West

Tuesday PM Late

Section 3:30 PM 3:45 PM 4:00 PM 4:15 PM 4:30 PM 4:45 PM
Advanced Programming Merging Pharmacokinetic (PK) Sample Collection and Dosing Information for PK Analysis based on Study Design and lessons learned Pins for Sharing Clinical R Assets
Applications Development Automatic CRF Annotations Using Python Intro to Coding in SAS Viya
Artificial Intelligence (Machine Learning) Leveraging AI to process unstructured Clinical data in real-time
Data Standards Standardised MedDRA Queries (SMQs): Beyond the Basics; Weighing Your Options How to utilize the EC domain to handle complex exposure data
Hands-On Training ODS Document & Item Stores: A New Beginning
Strategic Implementation Creating an Internal Repository of Validated R Packages Orchestrating Clinical Sequels with a Strategic Wand - Challenges of introducing Rolling CSRs in a Master Protocol
Submission Standards Including Population Information in ADaM define.xml for Better Understanding of Datasets A SAS Macro to Support the Supplemental Qualifier Section in cSDRG

Wednesday AM Early

Section 8:00 AM 8:15 AM 8:30 AM 8:45 AM 9:00 AM 9:15 AM 9:30 AM 9:45 AM
Advanced Programming Self Modifying Macro to Automatically Repeat a SAS Macro Function Putting the Meta into the Data: Managing Data Processing for a Large Scale CDC Surveillance Project with SAS®
Applications Development SAS® Spontaneous Combustion: Securing Software Portability through Self-Extracting Code Using the SAS System® to interface with the Entrez Programming Utilities (E-utilities) of the National Center for Biotechnology Information (NCBI).
Leadership Skills Diversity, Equity, and Inclusion in the Workplace: Challenges and Opportunities
Submission Standards Explanations in the Study Data Reviewer’s Guide: How’s It Going? A Standardized Reviewer’s Guide for Clinical Integrated Analysis Data

Wednesday AM Late

Section 9:30 AM 9:45 AM 10:00 AM 10:15 AM 10:30 AM 10:45 AM 11:00 AM 11:15 AM 11:30 AM 11:45 AM
Advanced Programming Calling for Backup When Your One-Alarm Becomes a Two-Alarm Fire: Developing SAS® Data-Driven Concurrent Processing Models through Control Tables and Dynamic Fuzzy Logic
Applications Development Using R-Shiny Capabilities in Clinical Programming to create Applications
RG CDISC/Regulatory Presentations
Submission Standards A Practical Approach to Preparing Documentation for Clinical Registries