An Active Learning Approach to Teach Advanced Multi-predictor Modeling Concepts to Clinicians


Authors: 
Gregory P. Samsa, Laine Thomas, Linda S. Lee, and Edward M. Neal
Year: 
2012
URL: 
http://ww2.amstat.org/publications/jse/v20n1/samsa.pdf
Abstract: 

Clinicians have characteristics – high scientific maturity, low tolerance for symbol manipulation and programming, limited time outside of class– that limit the effectiveness of traditional methods for teaching multi-predictor modeling. We describe an active-learning-based approach
that shows particular promise for accommodating these characteristics.

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education