The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
A taxonomy of model structures for economic evaluation of health technologies
Abstract
Models for the economic evaluation of health technologies provide valuable information to decision makers. The choice of model structure is rarely discussed in published studies and can affect the results produced. Many papers describe good modelling practice, but few describe how to choose from the many types of available models. This paper develops a new taxonomy of model structures. The horizontal axis of the taxonomy describes assumptions about the role of expected values, randomness, the heterogeneity of entities, and the degree of non‐Markovian structure. Commonly used aggregate models, including decision trees and Markov models require large population numbers, homogeneous sub‐groups and linear interactions. Individual models are more flexible, but may require replications with different random numbers to estimate expected values. The vertical axis of the taxonomy describes potential interactions between the individual actors, as well as how the interactions occur through time. Models using interactions, such as system dynamics, some Markov models, and discrete event simulation are fairly uncommon in the health economics but are necessary for modelling infectious diseases and systems with constrained resources. The paper provides guidance for choosing a model, based on key requirements, including output requirements, the population size, and system complexity. Copyright © 2006 John Wiley & Sons, Ltd.
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Cites
Numerical recipes in C: the art of scientific computing
(1993) · Choice Reviews Online · doi:10.5860/choice.30-5638 · Cited by 17,933
Numerical recipes in Pascal: the art of scientific computing
(1990) · Choice Reviews Online · doi:10.5860/choice.27-5158 · Cited by 11,811
Simulation Modeling and Analysis.
Schervish, M. J., Law, A. M., & Kelton, W. D. (1983) · Journal of the American Statistical Association · doi:10.2307/2288169 · Cited by 8,697
Simulation modeling and analysis
(1999) · Journal of Manufacturing Systems · doi:10.1016/s0278-6125(99)90119-x · Cited by 3,833
Discrete-Event System Simulation
Morgan, C. B. (1984) · Technometrics · doi:10.1080/00401706.1984.10487955 · Cited by 3,593
Markov Models in Medical Decision Making: A Practical Guide
Sonnenberg, F. A., & Beck, J. R. (1993) · Medical Decision Making · doi:10.1177/0272989x9301300409 · Cited by 2,419
Introduction to Stochastic Processes
(2014) · Stochastic Numerical Methods · doi:10.1002/9783527683147.ch6 · Cited by 2,383
Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation
Diekmann, O., & Heesterbeek, H. (2000) · Socio-Environmental Systems Modeling · Cited by 1,833
Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation
Roddam, A. W. (2001) · International Journal of Epidemiology · doi:10.1093/ije/30.1.186 · Cited by 1,443
Egger, M., Jüni, P., Bartlett, C., Holenstein, F., & Sterne, J. (2003) · Health Technology Assessment · doi:10.3310/hta7010 · Cited by 1,181
Cited by
Husereau, D., Drummond, M., Petrou, S., Carswell, C., Moher, D., Greenberg, D., Augustovski, F., Briggs, A. H., Mauskopf, J., & Loder, E. (2013) · Value in Health · doi:10.1016/j.jval.2013.02.002 · Cited by 1,998
Husereau, D., Drummond, M., Augustovski, F., de Bekker-Grob, E., Briggs, A. H., Carswell, C., Caulley, L., Chaiyakunapruk, N., Greenberg, D., Loder, E., et al. (2022) · Value in Health · doi:10.1016/j.jval.2021.10.008 · Cited by 847
Caro, J. J., Briggs, A. H., Siebert, U., & Kuntz, K. M. (2012) · Medical Decision Making · doi:10.1177/0272989x12454577 · Cited by 520
Tako, A. A., & Robinson, S. (2012) · Decision Support Systems · doi:10.1016/j.dss.2011.11.015 · Cited by 420
Karnon, J., Stahl, J., Brennan, A., Caro, J. J., Mar, J., & Möller, J. (2012) · Medical Decision Making · doi:10.1177/0272989x12455462 · Cited by 336
Self-citation
Metadata
- Authors
- Brennan, A., Chick, S. E., & Davies, R.
- Venue
- Health Economics
- Publisher
- Wiley
- Published
- 2006-08-29
- Volume
- 15
- Issue
- 12
- Pages
- 1295-1310
- ISSN
- 1057-9230 (ISSN-L)
- 1099-1050
- OpenAlex
- W2062638219
- Cited by
- 555
- References
- 53
- FWCI
- 26.28
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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