Courses

Learn a variety of basic and advanced techniques for modeling multilevel data. Daniel Bauer and Patrick Curran, professors at the University of North Carolina present the new Business Knowledge Series course Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS.

Multilevel data often arises in organizational research (such as individuals within groups), medical research (such as patients within clinics) and longitudinal research (such as repeated measures within persons). This course will show students how to evaluate organizational effects, interactions between person and context, and individual differences in change over time. After taking the course, students will be able to identify complex and dynamic relations within multilevel data to inform a variety of decision-making needs.

This three-day course is part of SAS' Business Knowledge Series program and debuts in Rockville, MD, April 19-21.

Seats are limited - register today