Professor Galit Shmueli discusses a machine learning algorithm called ‘tree-based approach’ that can be deployed on large and small data sets to overcome problems of self-selection. The tree-based approach can be effectively used to adjust for observable self-selection bias in intervention studies in management research.
Galit Shmueli is Tsing Hua Distinguished Professor at the Institute of Service Science, and Director of the Center for Service Innovation & Analytics at the College of Technology Management, National Tsing Hua University, Taiwan.