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Data Science in Health Technology Assessment 

  • Offered byCoursera
  • Public/Government Institute

Data Science in Health Technology Assessment
 at 
Coursera 
Overview

Data science allows for the analysis of vast amounts of real-world data alongside traditional clinical trial data

Duration

6 hours

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Data Science in Health Technology Assessment
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum

Data Science in Health Technology Assessment
 at 
Coursera 
Highlights

  • Earn a certificate from Genentech
  • Add to your LinkedIn profile
  • 3 Assignments
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Data Science in Health Technology Assessment
 at 
Coursera 
Course details

What are the course deliverables?
  • Cost-effectiveness analysis
  • Health Technology Assessment
  • Health Economics
More about this course
  • 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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Data Science in Health Technology Assessment
 at 
Coursera 

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