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Addressing Uncertainties in Health U...

Chan, Kelvin Kar-Wing.

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Addressing Uncertainties in Health Utilities.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Addressing Uncertainties in Health Utilities./
Author:	Chan, Kelvin Kar-Wing.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	160 p.
Notes:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
Contained By:	Dissertation Abstracts International79-03B(E).
Subject:	Biostatistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10254097
ISBN:	9780355479454

Addressing Uncertainties in Health Utilities.
Chan, Kelvin Kar-Wing.

Addressing Uncertainties in Health Utilities. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 160 p.

Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.

Thesis (Ph.D.)--University of Toronto (Canada), 2017.

Uncertainties in health utilities have received little attention in the literature. Health utility is a preference-based quality of life measure. It is commonly used to calculate quality-adjusted life years and to conduct cost-utility analysis. Under-estimation of the uncertainty of health utilities will lead to under-estimation of the uncertainty of the results of any economic evaluation that requires the use of health utilities. This thesis focuses on addressing uncertainty in health utilities in three areas: (1) the underestimation of uncertainties of health utilities derived from mapping algorithms and the derivation of methods to address it, (2) the challenge with prediction error in multi-attribute utility instrument valuation studies with small sample size and an emphasis of the use of shrinkage estimators as a potential solution, and (3) the underestimation of uncertainties of health utilities derived from multi-attribute utility instruments with an emphasis of the use of multiple imputation as a potential solution. For each issue, theoretical statistical explanations are provided and then followed by the proposed methods to address those issues. Simulation methods are also used to explore the usefulness of the proposed methods.

ISBN: 9780355479454Subjects--Topical Terms:

1002712
Biostatistics.

Addressing Uncertainties in Health Utilities.
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100 1 $a Chan, Kelvin Kar-Wing. $3 3265780
245 1 0 $a Addressing Uncertainties in Health Utilities.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 160 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
500 $a Advisers: Eleanor M. Pullenayegum; Andrew R. Willan.
502 $a Thesis (Ph.D.)--University of Toronto (Canada), 2017.
520 $a Uncertainties in health utilities have received little attention in the literature. Health utility is a preference-based quality of life measure. It is commonly used to calculate quality-adjusted life years and to conduct cost-utility analysis. Under-estimation of the uncertainty of health utilities will lead to under-estimation of the uncertainty of the results of any economic evaluation that requires the use of health utilities. This thesis focuses on addressing uncertainty in health utilities in three areas: (1) the underestimation of uncertainties of health utilities derived from mapping algorithms and the derivation of methods to address it, (2) the challenge with prediction error in multi-attribute utility instrument valuation studies with small sample size and an emphasis of the use of shrinkage estimators as a potential solution, and (3) the underestimation of uncertainties of health utilities derived from multi-attribute utility instruments with an emphasis of the use of multiple imputation as a potential solution. For each issue, theoretical statistical explanations are provided and then followed by the proposed methods to address those issues. Simulation methods are also used to explore the usefulness of the proposed methods.
590 $a School code: 0779.
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650 4 $a Economic theory. $3 1556984
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710 2 0 $a University of Toronto (Canada). $b Dalla Lana School of Public Health. $3 3186959
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