Estimating the expected value of sample information using the probabilistic sensitivity analysis sample: A fast, nonparametric regression-based method.

Strong, M., Oakley, J.E., Brennan, A. et al. (1 more author) (2015) Estimating the expected value of sample information using the probabilistic sensitivity analysis sample: A fast, nonparametric regression-based method. Medical Decision Making, 35 (5). 570 - 583. ISSN 0272-989X

Abstract

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Authors/Creators:
  • Strong, M.
  • Oakley, J.E.
  • Brennan, A.
  • Breeze, P.
Copyright, Publisher and Additional Information: © The Author(s) 2015. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (http://www.uk.sagepub.com/aboutus/openaccess.htm).
Keywords: Bayesian decision theory; Monte Carlo methods; computational methods; economic evaluation model; expected value of sample information; generalized additive model; nonparametric regression
Dates:
  • Published: 25 March 2015
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) > Section of Public Health (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 28 Sep 2015 15:51
Last Modified: 28 Sep 2015 15:51
Published Version: https://doi.org/10.1177/0272989X15575286
Status: Published
Publisher: SAGE Publications
Refereed: Yes
Identification Number: https://doi.org/10.1177/0272989X15575286
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