Quality Assurance for Statistical Programming and Analysis

• Activity Number: 95
• Type: Roundtables
• Date/Time: Monday, August 1, 2016 : 7:00 AM to 8:15 AM
• Sponsor: Section for Statistical Programmers and Analysts
• Author(s): Michael Messner*
• Companies: EPA
• Keywords: quality assurance ; programming

Abstract

We all strive to do good work. Data integrity, version control, and consistent coding style are parts of best practice. In this roundtable, we'll discuss how quality assurance plans, oversight, and documentation can be built into your daily routine. Share your own best programming and analysis practices!