Publication

Probabilistic choice models in health-state valuation research: background, theories, assumptions and applications

Arons, A. M. M. & Krabbe, P. F. M., Feb-2013, In : Expert review of pharmacoeconomics & outcomes research. 13, 1, p. 93-108 16 p.

Research output: Contribution to journalReview articleAcademicpeer-review

APA

Arons, A. M. M., & Krabbe, P. F. M. (2013). Probabilistic choice models in health-state valuation research: background, theories, assumptions and applications. Expert review of pharmacoeconomics & outcomes research, 13(1), 93-108. https://doi.org/10.1586/erp.12.85

Author

Arons, Alexander M M ; Krabbe, Paul F M. / Probabilistic choice models in health-state valuation research : background, theories, assumptions and applications. In: Expert review of pharmacoeconomics & outcomes research. 2013 ; Vol. 13, No. 1. pp. 93-108.

Harvard

Arons, AMM & Krabbe, PFM 2013, 'Probabilistic choice models in health-state valuation research: background, theories, assumptions and applications' Expert review of pharmacoeconomics & outcomes research, vol. 13, no. 1, pp. 93-108. https://doi.org/10.1586/erp.12.85

Standard

Probabilistic choice models in health-state valuation research : background, theories, assumptions and applications. / Arons, Alexander M M; Krabbe, Paul F M.

In: Expert review of pharmacoeconomics & outcomes research, Vol. 13, No. 1, 02.2013, p. 93-108.

Research output: Contribution to journalReview articleAcademicpeer-review

Vancouver

Arons AMM, Krabbe PFM. Probabilistic choice models in health-state valuation research: background, theories, assumptions and applications. Expert review of pharmacoeconomics & outcomes research. 2013 Feb;13(1):93-108. https://doi.org/10.1586/erp.12.85


BibTeX

@article{5085117e973d4af398980b0b1ac146a6,
title = "Probabilistic choice models in health-state valuation research: background, theories, assumptions and applications",
abstract = "Interest is rising in measuring subjective health outcomes, such as treatment outcomes that are not directly quantifiable (functional disability, symptoms, complaints, side effects and health-related quality of life). Health economists in particular have applied probabilistic choice models in the area of health evaluation. They increasingly use discrete choice models based on random utility theory to derive values for healthcare goods or services. Recent attempts have been made to use discrete choice models as an alternative method to derive values for health states. In this article, various probabilistic choice models are described according to their underlying theory. A historical overview traces their development and applications in diverse fields. The discussion highlights some theoretical and technical aspects of the choice models and their similarity and dissimilarity. The objective of the article is to elucidate the position of each model and their applications for health-state valuation.",
keywords = "Choice Behavior, Costs and Cost Analysis, Data Interpretation, Statistical, Disability Evaluation, Health Care Costs, Health Services Research, Health Status, Health Status Indicators, Humans, Models, Statistical, Outcome and Process Assessment (Health Care), Patient Preference, Probability, Quality of Life, Recovery of Function, Treatment Outcome",
author = "Arons, {Alexander M M} and Krabbe, {Paul F M}",
year = "2013",
month = "2",
doi = "10.1586/erp.12.85",
language = "English",
volume = "13",
pages = "93--108",
journal = "Expert Review of Pharmacoeconomics and Outcomes Research",
issn = "1473-7167",
publisher = "Taylor & Francis Group",
number = "1",

}

RIS

TY - JOUR

T1 - Probabilistic choice models in health-state valuation research

T2 - background, theories, assumptions and applications

AU - Arons, Alexander M M

AU - Krabbe, Paul F M

PY - 2013/2

Y1 - 2013/2

N2 - Interest is rising in measuring subjective health outcomes, such as treatment outcomes that are not directly quantifiable (functional disability, symptoms, complaints, side effects and health-related quality of life). Health economists in particular have applied probabilistic choice models in the area of health evaluation. They increasingly use discrete choice models based on random utility theory to derive values for healthcare goods or services. Recent attempts have been made to use discrete choice models as an alternative method to derive values for health states. In this article, various probabilistic choice models are described according to their underlying theory. A historical overview traces their development and applications in diverse fields. The discussion highlights some theoretical and technical aspects of the choice models and their similarity and dissimilarity. The objective of the article is to elucidate the position of each model and their applications for health-state valuation.

AB - Interest is rising in measuring subjective health outcomes, such as treatment outcomes that are not directly quantifiable (functional disability, symptoms, complaints, side effects and health-related quality of life). Health economists in particular have applied probabilistic choice models in the area of health evaluation. They increasingly use discrete choice models based on random utility theory to derive values for healthcare goods or services. Recent attempts have been made to use discrete choice models as an alternative method to derive values for health states. In this article, various probabilistic choice models are described according to their underlying theory. A historical overview traces their development and applications in diverse fields. The discussion highlights some theoretical and technical aspects of the choice models and their similarity and dissimilarity. The objective of the article is to elucidate the position of each model and their applications for health-state valuation.

KW - Choice Behavior

KW - Costs and Cost Analysis

KW - Data Interpretation, Statistical

KW - Disability Evaluation

KW - Health Care Costs

KW - Health Services Research

KW - Health Status

KW - Health Status Indicators

KW - Humans

KW - Models, Statistical

KW - Outcome and Process Assessment (Health Care)

KW - Patient Preference

KW - Probability

KW - Quality of Life

KW - Recovery of Function

KW - Treatment Outcome

U2 - 10.1586/erp.12.85

DO - 10.1586/erp.12.85

M3 - Review article

VL - 13

SP - 93

EP - 108

JO - Expert Review of Pharmacoeconomics and Outcomes Research

JF - Expert Review of Pharmacoeconomics and Outcomes Research

SN - 1473-7167

IS - 1

ER -

ID: 5790063