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Updated in [July 26th, 2023]
This course provides an introduction to predictive analytics and its role in population health management. Students will learn how to develop accurate prediction models, assess their validity, and evaluate their performance. Topics covered include study design, sample size, overfitting, missing values, non-linear relations, model selection, bias-variance tradeoff, and model updating. The course will use R to illustrate the concepts introduced in the lectures. Quiz questions are included to help students assess their understanding of the material. This course is part of a Master's program in Population Health Management at Leiden University.
