PUBHLT 0412 - DATA TO DECISION: MODELING IN PUBLIC HEALTH Minimum Credits: 3 Maximum Credits: 3 This course will cover the introductory regression modeling strategies for continuous, binary, and count data as well as tree-based modeling for decision-making and predictions in public health and biomedical data. Statistical software tools will be used to illustrate the data analysis applications. The course will consist of homework assignments, quizzes, labs, and a final project demonstrating students’ mastery of the learning objectives. Academic Career: Undergraduate Course Component: Lecture Grade Component: Letter Grade Course Requirements: PREQ: PUBHLT 0310; LVL: SOPHOMORE or HIGHER
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