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Multi-Criteria Decision Analysis to Support Healthcare Decisions

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Cover of 'Multi-Criteria Decision Analysis to Support Healthcare Decisions'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Theoretical Foundations of MCDA
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    Chapter 3 Identifying Value(s): A Reflection on the Ethical Aspects of MCDA in Healthcare Decisionmaking
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    Chapter 4 Incorporating Preferences and Priorities into MCDA: Selecting an Appropriate Scoring and Weighting Technique
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    Chapter 5 Dealing with Uncertainty in the Analysis and Reporting of MCDA
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    Chapter 6 Supporting the Project Portfolio Selection Decision of Research and Development Investments by Means of Multi-Criteria Resource Allocation Modelling
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    Chapter 7 Benefit–Risk Assessment
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    Chapter 8 Advancing MCDA and HTA into Coverage Decision-Making
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    Chapter 9 Embedding MCDA in Priority-Setting Policy Processes: Experiences from Low- and Middle-Income Countries
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    Chapter 10 MCDA for Resource Allocation at a Local Level: An Application in the UK
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    Chapter 11 Shared Decision-Making
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    Chapter 12 The Role of MCDA in Health Research Priority Setting
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    Chapter 13 MCDA for the Development of Clinical Practice Guidelines and for the Prioritization Clinical Research Questions
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    Chapter 14 Using MCDA as a Decision Aid in Health Technology Appraisal for Coverage Decisions: Opportunities, Challenges and Unresolved Questions
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    Chapter 15 Beyond Value Function Methods in MCDA for Health Care
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    Chapter 16 Best Practice for MCDA in Healthcare
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Multi-Criteria Decision Analysis to Support Healthcare Decisions
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-47540-0
978-3-31-947540-0, 978-3-31-947538-7

Kevin Marsh, Mireille Goetghebeur, Praveen Thokala, Rob Baltussen

Twitter Demographics

The data shown below were collected from the profiles of 30 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 22%
Student > Master 11 14%
Student > Bachelor 10 12%
Researcher 6 7%
Student > Doctoral Student 6 7%
Other 20 25%
Unknown 10 12%
Readers by discipline Count As %
Engineering 15 19%
Medicine and Dentistry 14 17%
Computer Science 8 10%
Social Sciences 7 9%
Business, Management and Accounting 5 6%
Other 18 22%
Unknown 14 17%