MSMS06
Model Selection and Model Simplification (MSMS06)
Model Selection and Model Simplification (MSMS06)
This two-day hands-on course teaches researchers how to select, compare, and evaluate statistical models in R using cross-validation, information criteria (AIC, AICc, BIC), and regularization methods. Participants will learn model averaging, mixed effects model selection, and best practices for transparent, theory-driven analysis.
Duration: 2 Days, 6 hours per day
Next Date: December 9-10, 2025
Format: Live Online Format
£300Registration Fee
View DetailsModel Selection and Model Simplification (MSMS06)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomThis two-day hands-on course teaches researchers how to select, compare, and evaluate statistical models in R using cross-validation, information criteria (AIC, AICc, BIC), and regularization methods. Participants will learn model averaging, mixed effects model selection, and best practices for transparent, theory-driven analysis.