An Introduction to the SAS Transpose Procedure and its Options
Source category: Advanced Programming
Author collections: Timothy Harrington
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Timothy Harrington — Indexed Papers
Publications credited to Timothy Harrington in the available conference metadata. Browse coauthors and original source links below. This is a publication index, not a verified biographical profile; identical names may refer to different people.
13 papers · Showing 1–13
A Macro to Apply Exclusion Criteria to SAS(r) PK data
Source category: Statistics and Analytics
Author collections: Timothy Harrington
A Macro to Identify Repeating SAS(r) BY Variables in a MERGE
Source category: Quick Programming Tips
Author collections: Timothy Harrington
Evaluating and Correcting Nominal and Actual Relative Time Measurements in Clinical Trials PK data
Source category: Applications Development
Author collections: Timothy Harrington
How to Achieve More with Less Code
Source category: Advanced Programming
Author collections: Timothy Harrington
Implementing a LEAD Function for Observations in a SAS DATA Step
Source category: Quick Tips
Author collections: Timothy Harrington
Unleash the Power of Less Well Known but Useful SAS(r) DATA Step Functions
Source category: Advanced Programming
Author collections: Timothy Harrington
Working from a Home Office Versus Working On-Site
Source category: Leadership and Career Development
Author collections: Timothy Harrington
Discover the Deeper DATA Step
Source category: ePosters
Author collections: Timothy Harrington
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
PK Data Explained
Source category: Advanced Analytics
Author collections: Timothy Harrington
What makes a good QC Programmer?
Source category: Leadership
Author collections: Timothy Harrington
A Macro to carry values through observations forwards or backwards over null values within a by group or a SAS(R) dataset.
Source category: Beyond the Basics
Author collections: Timothy Harrington