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An Intersectional Approach to Model Construction and Evaluation in Mental Healthcare

This lesson contains both a lecture and a tutorial component. The lecture (0:00-20:03 of YouTube video) discusses both the need for intersectional approaches in healthcare as well as the impact of neglecting intersectionality in patient populations. The lecture is followed by a practical tutorial in both Python and R on how to assess intersectional bias in datasets. Links to relevant code and data are found below. 

Topics covered in this lesson
  • Research design and data collection
  • Model construction and validation
  • Intersectional bias
  • Hands-on tutorial in Python and R


Technology requirement