Multiple criteria decision analysis for health technology assessment.

By P. Thokala, Alejandra Duenas. Value in Health, 2012

317 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Medical Laboratory Technology

View Paper: https://www.semanticscholar.org/paper/8cdfe0d36914b9601228abaaf80c2f213598b1ba

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Michael Gonzalez
2. R. Słowiński
3. Maarten J. IJzerman
4. Miłosz Kadziński
5. N. Devlin
6. Marco Cinelli

In Management Science and Operations Research

1. Marco Cinelli
2. Michael Gonzalez
3. R. Słowiński
4. Miłosz Kadziński
5. P. Thokala

Citations in the corpus

• How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy (2020, background): “Further, Thokala and Duenas [163] referred to the use of weights, the way of measuring the per-criterion performances, incorporating uncertainty analysis, and intuitiveness of the results.”
• Multiple Criteria Decision Analysis for Health Care Decision Making--An Introduction: Report 1 of the ISPOR MCDA Emerging Good Practices Task Force. (2016, background): “MCDA approaches can be broadly classified into value measurement models, outranking models, and reference-level models [41]: Value measurement models involve constructing and comparing numerical scores (overall value) to identify the degree to which one decision alternative is preferred over another”