Mixed Models Workshops
Fundamentals of Linear Mixed Models for Designed Experiments
Linear mixed models are widely used for analyzing data from designed experiments, but applying them correctly requires understanding how your data was generated and how mixed models work. This course is designed to help you develop that understanding—building your intuition for key model assumptions and practical applications.
The Institute for Digital Agriculture and Advanced Analytics (ID3A), in partnership with K-State's department of statistics, will co-host a workshop series on the fundamentals of linear mixed models for designed experiments. This two-day free workshop series, taking place Sept. 13 through Sept. 14, is available for free to all K-State faculty, staff and students. Non K-State participants are also encouraged to register for a $300 registration fee.
- Sept. 13, 9 a.m. - 4:30 p.m. (Light refreshments provided; 90-minute lunch on your own)
- Sept. 14, 9 a.m. - Noon (Light refreshments provided)
All workshops will take place in 164 Justin Hall. Advanced registration is required.
Since model applications will be demonstrated using R software, prior experience using R software will be convenient but not required. Likewise, attendees are encouraged to bring their laptops but will be able to follow the content regardless.