An Intersectional Approach to Model Construction and Evaluation in Mental Healthcare
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
Prerequisites
None
Technology requirement
None
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