This course explores key concepts and methods in Health Economics and Health Technology Assessment (HTA) and is intended for learners who have a foundation in data science, clinical science, regulatory and are new to this field and would like to understand basic principles used by payers for their reimbursement decisions.
Data Science in Health Technology Assessment
Gain insight into a topic and learn the fundamentals.
4.8
(12 reviews)
Intermediate level
Recommended experience
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
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Assessments
3 assignments
Taught in English
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There are 3 modules in this course
This module covers the key principles of economic evaluation, including types of analysis, the technical issues such as choosing the comparator, perspective, and time horizon. It looks at types of costs, and the need for discounting.
What's included
12 videos4 readings1 assignment
This module covers the measurement of health-related quality of life and its incorporation into economic evaluation.
What's included
9 videos4 readings1 assignment
This module introduces decision modelling techniques, deterministic and probabilitic sensitivity analyes and best practices for problem and model conceptualization.
What's included
6 videos3 readings1 assignment
Instructor
Instructor ratings
4.5 (5 ratings)
Offered by
Recommended if you're interested in Data Analysis
University of Houston
University of Michigan
University of Minnesota
Johns Hopkins University
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4.8
12 reviews
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HJ
5
Reviewed on Apr 15, 2024
I love this course as it is simple to understand and concise. Will be better if it can include more calculation or case scenarios in this course =)
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