Course Catalog

STAT4300 - Hlth Care Predictive Analytics

Spring 2020

This course introduces students to contemporary topics at an advanced level in health care statistical modeling and predictive analytics. depending on employer's interests and student's needs, topics will be selected from such areas as models for predicting health costs, clinical identification algorithms, grouper models, and development and construction of diagnosis related groups (DRGs), diagonal cost group (DCGs), and episode treatment groups (ETGs).
Prerequisites: STAT4250, ASCI4250 and STAT4230. Note that STAT4230 can be taken concurrently with this courses.
3 Credits

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