How to Build an “Offshore” Team with “Onshore” Quality
Source category: Management and Support
THE COMMUNITY ARCHIVE
PharmaSUG 2015 Papers ArchivePage 3
Browse indexed publications from PharmaSUG in 2015. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
197 papers · Showing 81–120
How to Build and Manage a Successful and Effective FSP Service for US sponsors out of India
Source category: Management and Support
Author collections: Debiprasad Roy
How to Harness Your Company’s Wiki for World Domination (or — Even Better — to Write the Best Reusable Code Possible)
Source category: Management and Support
How To Use Latent Analyses Within Survey Data Can Be Valuable Additions to Any Regression Model
Source category: Statistics and Pharmacokinetics
Author collections: Deanna Schreiber-Gregory
I/O, I/O, It’s Off To Work We Go: Digging Into the ATTRC Function
Source category: Quick Tips
Implementing Union-Find Algorithm with Base SAS DATA Steps and Macro Functions
Source category: Beyond the Basics
Author collections: Chaoxian Cai
Implementing Various Baselines for ADaM BDS datasets
Source category: Data Standards
Author collections: Songhui Zhu
Improving Data Quality – Missing Data Can Be Your Friend!
Source category: Industry Basics
Inside the DATA Step: Pearls of Wisdom for the Novice SAS Programmer
Source category: Techniques and Tutorials
Author collections: Joshua M. Horstman · Britney D. Gilbert
Introducing a Similarity Statistic to Compare Data Libraries for Improving Program Efficiency for Similar Clinical Trials
Source category: Posters
Author collections: Taylor Markway
Introduction to Interactive Drill Down Reports on the Web
Source category: Hands-On Training
Is Your Failed Macro Due To Misjudged “Timing”?
Source category: Beyond the Basics
Author collections: Arthur Li
Is Your SAS® System Reliable?
Source category: Quick Tips
Author collections: Wayne Zhong
ISPLIT Macro: to split large SAS datasets
Source category: Quick Tips
It Depends On Your Analysis Need
Source category: Data Standards
Author collections: Sandra Minjoe
It’s Not That You Know It, It’s How You Show It
Source category: Management and Support
Japanese submission/approval processes from programming perspective
Source category: Submission Standards
Author collections: Ryan Hara
Keyboard Macros – The most magical tool you may have never heard of – You will never program the same again (It’s that amazing!)
Source category: Quick Tips
Author collections: Steven Black
Lessons Learned from the QC Process in Outsourcing Model
Source category: Techniques and Tutorials
Let SAS “Modify” Your Excel File
Source category: Quick Tips
Author collections: Nelson Lee
Let SAS Generate XML Code for ACCESS Audit Trail Data Macro
Source category: Quick Tips
Leveraging ADaM Principles to Make Analysis Database and Table Programming More Efficient
Source category: Posters
Leveraging Visualization Techniques to tell my data story: Survival Analysis Interpretation made easy through simple programming
Source category: Data Visualization and Graphics
Author collections: Vijayata Sanghvi
LOCF vs. LOV in Endpoint DTYPE Development with CDISC ADaM Standards
Source category: Data Standards
Author collections: Maggie Ci Jiang
Looking at the Big Picture – Snapshots of Patient Health in SAS®
Source category: Data Visualization and Graphics
Author collections: Ruth Kurtycz
Looking Beneath the Surface of Sorting
Source category: Techniques and Tutorials
Author collections: Andrew T. Kuligowski
Macro Programming Best Practices: Styles, Guidelines and Conventions Including the Rationale Behind Them
Source category: Beyond the Basics
Author collections: Don Henderson · Art Carpenter
Macro to Read Mock Shells in Excel and Create a Copy in Rich Text Format
Source category: Posters
Author collections: Rakesh Mucha · Jeffrey Johnson
Managing a Remote Workforce: Making Sense Out of Today’s Business Environment
Source category: Management and Support
Author collections: Dave Polus
Managing Custom Data Standards in SAS® Clinical Data Integration
Source category: Data Standards
Author collections: Melissa R. Martinez
Managing the Evolution of SAS® Programming
Source category: Career Planning
Author collections: Carey Smoak
Means Comparisons and No Hard Coding of Your Coefficient Vector – It Really Is Possible!
Source category: Statistics and Pharmacokinetics
Medication Adherence in Cardiovascular Disease: Generalized Estimating Equations in SAS®
Source category: Healthcare Analytics
Author collections: Erica Goodrich · Daniel Sturgeon
Missing Data For Repeated Measures: Single Imputation VS Multiple Imputation
Source category: Statistics and Pharmacokinetics
Author collections: Giulia Tonini · Simona Scartoni · Andrea Nizzardo · Angela Capriati
Mlibcompare – keep an eye on the changes of your data
Source category: Quick Tips
MMRM: Macro for Selecting Best Covariance Structure with the Method of Interest
Source category: Statistics and Pharmacokinetics
Author collections: Linga Reddy Baddam · Sudarshan Reddy Shabadu
Multilevel Randomization
Source category: Statistics and Pharmacokinetics
Author collections: Marina Komaroff · Lois Lynn
No Regrets: Hiring for the Long Term in Statistical Programming
Source category: Management and Support
Not Just Merge – Complex Derivation Made Easy by Hash Object
Source category: Beyond the Basics
Now You See It, Now You Don’t — Using SAS to De-Identify Data to Support Clinical Trial Data Transparency
Source category: Healthcare Analytics
Author collections: Dave Handelsman