Estimating Multiparameter Partial Expected Value of Perfect Information from a Probabilistic Sensitivity Analysis Sample: A Nonparametric Regression Approach

Strong, M, Oakley, JE and Brennan, A (2013) Estimating Multiparameter Partial Expected Value of Perfect Information from a Probabilistic Sensitivity Analysis Sample: A Nonparametric Regression Approach. Medical Decision Making, 34 (3). pp. 311-326.

Metadata

Authors/Creators:
  • Strong, M
  • Oakley, JE
  • Brennan, A
Copyright, Publisher and Additional Information: © 2013 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: value of information, expected value of perfect information, economic evaluation model, nonparametric regression, Bayesian decision theory, computational methods
Dates:
  • Published: 18 November 2013
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research
Funding Information:
FunderGrant number
NIHRPDF-2012-05-258
Depositing User: Symplectic Sheffield
Date Deposited: 25 Apr 2014 13:55
Last Modified: 25 Apr 2014 13:55
Published Version: http://dx.doi.org/10.1177/0272989X13505910
Status: Published
Publisher: SAGE Publications
Refereed: Yes
Identification Number: https://doi.org/10.1177/0272989X13505910

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