Infrastructure for healthcare analytics: A foundational approach to development
Source category: Leadership
Author collections: Jennifer Popovic
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PharmaSUG 2018 Papers ArchivePage 4
Browse indexed publications from PharmaSUG in 2018. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
232 papers · Showing 121–160
Insights to Meticulous Clean Patient Tracking via Analytics
Source category: Application Development
Author collections: SIDDARTHA KONDAPALLY · Kishore Pothuri · Bhavin Busa
Instant Gratification: Calculating Resource Needs Based on Operational Data using an Interactive Tool
Source category: Data Visualization
Integrations Made Easier
Source category: Strategic Implementation
Author collections: Kirsty Lauderdale
Interactive Programming Using Task in SAS Studio
Source category: Quick Tips
Author collections: Suwen Li
Introducing Dynamic Data Quality Control Methods: Abstracting Data Validation through External Data
Source category: Data Standards
Author collections: Troy Hughes
Introducing Interactive Data Step Debugger: What you can do with SAS Data Step Debugger (SAS® Enterprise Guide® 7.13)
Source category: Application Development
It’s all about getting the Source and Codelist Implementation right for ADaM Define.xml v2.0
Source category: Submission Standards
Know thy data – techniques for data exploration
Source category: Beyond the Basics
Author collections: Charu Shankar
Know your PET: From the Scans to SDTM Datasets
Source category: Medical Devices
Author collections: Balavenkata Pitchuka · Bhargav Koduru
Leadership Panel
Source category: Leadership
The publisher's linked PDF currently returns 404; use the proceedings listing.
Author collections: Mira Shapiro · Frank DiIorio · Nagadip Rao · Janet Stuelpner · Timothy Harrington
Let’s Get FREQy with our Statistics: Data Driven Approach to Determining Appropriate Test Statistic
Source category: ePosters
Author collections: Lynn Mullins · Richann Watson
Let’s get to the Source and streamline it to the End
Source category: Strategic Implementation
Let’s Start Something New! A Beginner’s Guide to Programming in the SAS® CAS Environment
Source category: Application Development
Author collections: Kevin Russell
Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies
Source category: Data Visualization
Author collections: Kelci Miclaus · Lili Li
Levista – An Integrated Programming Environment with Visualization
Source category: Application Development
Author collections: Priya Saradha
Link Up Sync Up: Calculation of concordance and discordance rates between Independent Review Facility (IRF) and Investigator site data using SAS®
Source category: ePosters
Author collections: Bhargav Koduru · Girish Kankipati
Machine Learning – Why we should know and How it works
Source category: Strategic Implementation
Author collections: Kevin Lee
Macro-Supported Metadata-Driven Process for Mapping SDTM VISIT and VISITNUM
Source category: Application Development
Author collections: Eric Crockett
Making Processes Accessible
Source category: Leadership
Making the most of SAS® Jobs in LSAF®
Source category: Application Development
Author collections: Greg Weber · SONALI GARG
Managing Table Preparation and Related Coding Task in Multilingual Settings by Using SAS Unicode Version
Source category: Application Development
Author collections: Kai Koo
Manipulating Statistical and Other Procedure Output to Get the Results That You Need
Source category: Hands-On Training
Author collections: Vince DelGobbo
Merge with Caution: How to Avoid Common Problems when Combining SAS® Datasets
Source category: Beyond the Basics
Author collections: Josh Horstman
Mind Over Matter: Building an Army of Passionate Soldiers Dedicated to Saving Patients’ Lives
Source category: Leadership
Author collections: Shefalica Chand
Mining Mass Fragments using SAS and Python for Metabolite Identification of Antibody-Drug Conjugates
Source category: Application Development
Author collections: Hao Sun · Kristen Cardinal
Multicollinearity: What Is It and What Can We Do About It?
Source category: Advanced Analytics
Author collections: Deanna Schreiber-Gregory
No News Is Good News: A Macro to Reveal the Untold Normal Lab Results
Source category: Quick Tips
Author collections: Ming Yan
ODS/RTF Pagination Revisit
Source category: Quick Tips
One Level PDF Bookmark Created by ODS DOCUMENT and PROC DOCUMENT
Source category: Quick Tips
Author collections: Yanmei Zhang · Titania Dumas-Roberson
One Project, Two Teams: The Unblind Leading the Blind Part 2: Options
Source category: Strategic Implementation
Author collections: Kristen Harrington
Parallel Processing Your Way to Faster Software and a Big Fat Bonus: Demonstrations in Base SAS®
Source category: Application Development
Author collections: Troy Hughes
Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels
Source category: Advanced Analytics
Author collections: Keith Brown · John R Gerlach
Pinching Off Your SAS® Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization
Source category: Application Development
Author collections: Troy Hughes
PK Data Explained
Source category: Advanced Analytics
Author collections: Timothy Harrington
Preparing the Office of Scientific Investigations (OSI) Requests for Submissions to FDA
Source category: ePosters
Author collections: Yaling Teng · Ran Li
Preparing to Meet FDA Requirements for Submission of Standardized Data and Documentation
Source category: Submission Standards
Author collections: Steven Kirby · Mario Widel
Preventing premature unblinding in PK/PD related studies
Source category: Advanced Analytics
Proactive Role of a Lead Programmer Could Help Prevent Potential Delay in Submission
Source category: Leadership
Author collections: Ranjith Kalleda
Processing and Cleaning Streaming Data in SAS
Source category: Data Visualization