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.
(12 avis)
Expérience recommandée
Compétences que vous acquerrez
- Catégorie : Cost-effectiveness analysis
- Catégorie : Health Technology Assessment
- Catégorie : Health Economics
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Il y a 3 modules dans ce cours
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.
Inclus
12 vidéos4 lectures1 devoir
This module covers the measurement of health-related quality of life and its incorporation into economic evaluation.
Inclus
9 vidéos4 lectures1 devoir
This module introduces decision modelling techniques, deterministic and probabilitic sensitivity analyes and best practices for problem and model conceptualization.
Inclus
6 vidéos3 lectures1 devoir
Instructeur
Offert par
Recommandé si vous êtes intéressé(e) par Data Analysis
University of Houston
University of Michigan
Northeastern University
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?
Avis des étudiants
12 avis
- 5 stars
75 %
- 4 stars
25 %
- 3 stars
0 %
- 2 stars
0 %
- 1 star
0 %
Affichage de 3 sur 12
Révisé le 15 avr. 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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