Macro Programming Best Practices: Styles, Guidelines and Conventions Including the Rationale Behind Them
Source category: Beyond the Basics
Author collections: Don Henderson · Art Carpenter
THE COMMUNITY ARCHIVE
PharmaSUG Papers ArchivePage 60
Browse indexed publications from PharmaSUG. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
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2,664 papers · Showing 2361–2400
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
OSI Packages: What you need to know for your next NDA or BLA Submission
Source category: Submission Standards
Patient Profiles and SAS Visual Analytics
Source category: Applications Development
Author collections: Pritesh Desai · Robert Collins
Perl Regular Expression in SAS® Applications
Source category: Beyond the Basics
Author collections: Yang Wang · Abdul Ghouse
Phantom of the ODS – How to run cascading compute blocks off of common variables in the data set for complex tasks.
Source category: Techniques and Tutorials
PhUSE De-Identification Working Group: Providing De-Identification Standards to CDISC Data Models
Source category: Data Standards
Author collections: Jean-Marc Ferran · Jacques Lanoue
Picture this: Hands-on SAS Graphics Session
Source category: Hands-On Training
Author collections: Kriss Harris
Proc Compare: Wonderful Procedure!
Source category: Industry Basics
Author collections: Anusuiya Ghanghas · Rajinder Kumar
PROC PRINT the Granddaddy of all Procedures, Enhanced and Still Going Strong!
Source category: Techniques and Tutorials
Author collections: David Franklin
PROC SQL for SQL Die-hards
Source category: Quick Tips
Author collections: Barbara Ross
PROC SQL: Make it a monster using these powerful functions and options
Source category: Techniques and Tutorials
Author collections: Arun Raj Vidhyadharan · Sunil Mohan Jairath
Proc STREAM: The Perfect Tool For Creating Patient Narratives
Source category: Applications Development
Author collections: Joseph Hinson
PROC TRANSPOSE® For Fun And Profit
Source category: Techniques and Tutorials
Author collections: John J. Cohen
Process and Programming Challenges in Producing Define.xml
Source category: Beyond the Basics
Author collections: Mike Molter
Programming Pharmacokinetic (PK) Timing and Dosing Variables in Oncology Studies: Demystified
Source category: Posters
Author collections: Kiran Cherukuri
Proper Parenting: A Guide in Using ADaM Flag/Criterion Variables and When to Create a Child Dataset
Source category: Data Standards
Author collections: Richann Watson · Karl Miller · Paul Slagle
Prospecting for Great Programmers – Advice from a Hiring Manger to Make You a Solid Gold Addition to the Team
Source category: Career Planning
Author collections: James Zuazo
Qualification Process for Standard Scripts in the Open Source Repository with Cloud Services
Source category: Applications Development
Author collections: Hanming Tu · Dante Di Tommaso · Dirk Spruck · Christopher Hurley · Nancy Brucken
R you ready to show me Shiny for PharmaSUG 2015
Source category: Data Visualization and Graphics
Author collections: Amulya R Bista · Jeff Cai
Regaining Some Control Over ODS RTF Pagination When Using Proc Report
Source category: Quick Tips
Reproducibly Random Values
Source category: Quick Tips
SAS Grid: Simplified
Source category: Industry Basics
Author collections: Rajinder Kumar
SAS® Programming Tips, Tricks and Techniques for Programmers
Source category: Techniques and Tutorials
Author collections: Kirk Paul Lafler
SAS® Reports on Your Fingertips? – SAS BI is the Answer for Creating Immersive Mobile Reports
Source category: Applications Development
SAS® Tools for Working with Dataset-XML files
Source category: Submission Standards
Author collections: Lex Jansen
Schoveing Series 1: Motivating and Inspiring Statistical Programmers in the Biopharmaceutical Industry
Source category: Management and Support
Author collections: Priscilla Gathoni
SDTM Annotations: Automation by implementing a standard process
Source category: Applications Development
Author collections: Andre Couturier