Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Coursera

Data Science in Health Technology Assessment

Genentech via Coursera

Overview

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.

Syllabus

  • Health Economics
    • 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.
  • Health measurements and QALYs
    • This module covers the measurement of health-related quality of life and its incorporation into economic evaluation.
  • Health Economic Modelling
    • This module introduces decision modelling techniques, deterministic and probabilitic sensitivity analyes and best practices for problem and model conceptualization.

Taught by

Monica Daigl

Reviews

Start your review of Data Science in Health Technology Assessment

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.