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Cost-Effectiveness in Health and Medicine$
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Peter J. Neumann, Theodore G. Ganiats, Louise B. Russell, Gillian D. Sanders, and Joanna E. Siegel

Print publication date: 2016

Print ISBN-13: 9780190492939

Published to Oxford Scholarship Online: November 2016

DOI: 10.1093/acprof:oso/9780190492939.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2020. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 28 October 2020

Decision Models in Cost-Effectiveness Analysis

Decision Models in Cost-Effectiveness Analysis

(p.105) 5 Decision Models in Cost-Effectiveness Analysis
Cost-Effectiveness in Health and Medicine

Karen M. Kuntz

Louise B. Russell

Douglas K. Owens

Gillian D. Sanders

Thomas A. Trikalinos

Joshua A. Salomon

Oxford University Press

This is a new chapter and underscores recent advances in the field. Analysts typically face situations in which the data available about the costs and effects of different interventions come from disparate sources and often from studies for which analysts do not have access to primary data. Models fill in the gaps and help to structure analysts’ thinking. They provide a framework for synthesizing data from disparate sources, allowing extrapolations beyond the time horizons of available data and to population subgroups and strategies not observed in studies. This chapter reviews the different types of decision models and their relative advantages and disadvantages. It also provides recommendations for model structure, output, evaluation of uncertainty, and validation.

Keywords:   Model, microsimulation, intermediate outcomes, extrapolation, time horizon, calibration, validation, modeling guidelines

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