Mixed Models Analyses Using SAS(R)

Who is this course for?

This course is designed for individuals seeking to enhance their statistical analysis skills through the use of SAS(R) software, specifically focusing on mixed models. It's particularly useful for professionals and researchers who deal with data where multiple variables might influence the outcomes and where those variables can interact in complex ways. The training will cover the foundation and advanced applications of mixed models, making it suitable for both new and experienced SAS users.

If you are involved in data analysis within fields such as healthcare, marketing, education, or any form of scientific research, understanding how to effectively use mixed models can significantly improve the depth and accuracy of your analysis. This course will guide you through the process of setting up, running, and interpreting mixed models using practical examples and exercises based on real-world scenarios.

Target audience:

• Statisticians and data scientists who want to expand their analytical toolset.

• Academic researchers in need of robust statistical analysis tools for complex data sets.

• Healthcare professionals analyzing patient data across different populations and conditions.

• Marketing analysts looking to understand the impact of multiple concurrent campaigns.

• Educational researchers studying the effects of various teaching methods across diverse student groups.

• Biologists and environmental scientists dealing with data from multifactorial experiments.