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Clinical Data Science: Design and Analytics II
CI 708B

Course Information

Description

This course extends the topics introduced in Design and Analytics II (part A) and further integrates key epidemiological concepts in clinical applications with the aim of performing high-quality clinical research. This course will cover 1) Evaluation of screening tests and risk prediction methods, and 2) Common biases in clinical research, presented through an epidemiologic as well as causal inference framework.

The course emphasizes critical thinking and practical applications. Students will complete a team project for this course: A screening test proposal. This is part B of the second course in the sequence of core courses for the Master of Medical Sciences in Clinical Investigation.

School Harvard Medical School
Credits 1.5
Cross Reg

Not Available for Cross Registration

Course Component Lecture
Instruction Mode In Person
Grading Basis HMS Satisfactory/Unsatisfactory
Course Requirements Course is limited to in-person students.
Curriculum Phase N/A
Visiting Clerks N/A
Course Type N/A