

Data Science in Health Technology Assessment
- Offered byCoursera
- Public/Government Institute
Data Science in Health Technology Assessment at Coursera Overview
Duration | 6 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website |
Credential | Certificate |
Data Science in Health Technology Assessment at Coursera Highlights
- Earn a certificate from Genentech
- Add to your LinkedIn profile
- 3 Assignments
Data Science in Health Technology Assessment at Coursera Course details
- Cost-effectiveness analysis
- Health Technology Assessment
- Health Economics
- 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 at Coursera Curriculum
Health Economics
Introduction
Comparators
Scope of the evaluation
Type of costs
Perspective
Discounting
Type of analyses
Cost-effectiveness and cost-utility analyses
QALYs
ICER
Other decision elements
Summary
Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022)
ISPOR Value Flower
Multiple Criteria Decision Analysis for Health Technology Assessment
Notes
Testing your knowledge on Economic Evaluation
Health measurements and QALYs
Introduction
Definition of Health And Patient Reported Outcomes
Quality of Life Measurement
Health Related Quality of Life Instruments
Utility
Valuation Techniques
Preference Based Instruments
QALYs
Summary
Introducing economic and quality of life measurements into clinical studies by Michael Drummond
Valuing health-related quality of life: An EQ-5D-5L value set for England
A Review of Generic Preference-Based Measures for Use in Cost-Effectiveness Models
Notes
Testing your Knowledge on QALYs
Health Economic Modelling
Introduction
Decision Modelling
Decision Trees
Markov Models
Sensitivity Analyses
Summary
Conceptualizing a Model: ISPOR-SMDM Modeling Good Research Practices
Model Parameter Estimation and Uncertainty: ISPOR-SMDM Modeling Good Research Practices
Notes
Testing your knowledge on Economic Modelling
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