Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS(R)

Who is this course for?

This course is designed for researchers, data analysts, and statisticians who aim to deepen their understanding of multilevel modeling techniques using SAS software. Participants should have a basic knowledge of statistical methods and a keen interest in advancing their skills in analyzing hierarchical and longitudinal data structures commonly encountered in various fields such as education, healthcare, and social sciences.

The course is also ideal for professionals working in environments where data is collected over time from similar units or clusters. By the end of the course, attendees will be equipped to effectively design, analyze, and interpret multilevel models, enhancing their capabilities in predictive analytics and evidence-based decision making.

Target audience:

• Statisticians seeking to implement advanced analytical techniques.

• Data analysts involved in complex data projects.

• Researchers in academia or industries like healthcare or education.

• Graduate students specializing in statistical methods or applied data science.

• Policy makers and public health officials who rely on longitudinal data analysis.

• IT professionals who support statistical software and data analysis tools.