Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations-Reference-Cited by-同舟云学术

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Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations

Published:2018-06 Issue:3 Volume:66 Page:697-715
ISSN:0030-364X
Container-title:Operations Research
language:en
Short-container-title:Operations Research

Author:

Goh Joel¹^ORCID,Bayati Mohsen²^ORCID,Zenios Stefanos A.²,Singh Sundeep³,Moore David⁴

Affiliation:

1. NUS Business School, Singapore 119245; and Harvard Business School, Boston, Massachusetts 02163

2. Stanford University Graduate School of Business, Stanford, California 94305

3. Stanford School of Medicine, Stanford, CA 94305

4. Clinical Excellence Research Center, Stanford University, Stanford, CA 94305 and Careflow Logic LLC, Oregon City, Oregon 97045

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Computer Science Applications

Reference72 articles.

1. Second-order cone programming

2. Population Screening for Colorectal Cancer Means Getting FIT: The Past, Present, and Future of Colorectal Cancer Screening Using the Fecal Immunochemical Test for Hemoglobin (FIT)

3. A Comparison of Fecal Occult-Blood Tests for Colorectal-Cancer Screening

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