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Keeping the noise down: common random numbers for disease simulation modeling

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  • Natasha Stout
  • Sue Goldie

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  • Natasha Stout & Sue Goldie, 2008. "Keeping the noise down: common random numbers for disease simulation modeling," Health Care Management Science, Springer, vol. 11(4), pages 399-406, December.
    • Handle: RePEc:kap:hcarem:v:11:y:2008:i:4:p:399-406
    DOI: 10.1007/s10729-008-9067-6
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    References listed on IDEAS

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    1. Pierre L'Ecuyer & Richard Simard & E. Jack Chen & W. David Kelton, 2002. "An Object-Oriented Random-Number Package with Many Long Streams and Substreams," Operations Research, INFORMS, vol. 50(6), pages 1073-1075, December.
    2. R Davies & R J Brooks, 2007. "Stream correlations in multiple recursive and congruential generators," Journal of Simulation, Taylor & Francis Journals, vol. 1(2), pages 131-135, May.
    3. Oguzhan Alagoz & Cindy L. Bryce & Steven Shechter & Andrew Schaefer & Chung-Chou H. Chang & Derek C. Angus & Mark S. Roberts, 2005. "Incorporating Biological Natural History in Simulation Models: Empirical Estimates of the Progression of End-Stage Liver Disease," Medical Decision Making, , vol. 25(6), pages 620-632, November.
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    Cited by:

    1. Ian Philips & Graham Clarke & David Watling, 2017. "A Fine Grained Hybrid Spatial Microsimulation Technique for Generating Detailed Synthetic Individuals from Multiple Data Sources: An Application To Walking And Cycling," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 167-200.
    2. repec:ijm:journl:v109:y:2017:i:1:p:167-200 is not listed on IDEAS
    3. González-Parra, Gilberto & Villanueva-Oller, Javier & Navarro-González, F.J. & Ceberio, Josu & Luebben, Giulia, 2024. "A network-based model to assess vaccination strategies for the COVID-19 pandemic by using Bayesian optimization," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    4. Chih, Mingchang, 2023. "Stochastic stability analysis of particle swarm optimization with pseudo random number assignment strategy," European Journal of Operational Research, Elsevier, vol. 305(2), pages 562-593.
    5. Ankur Pandya & Stephen Sy & Sylvia Cho & Sartaj Alam & Milton C. Weinstein & Thomas A. Gaziano, 2017. "Validation of a Cardiovascular Disease Policy Microsimulation Model Using Both Survival and Receiver Operating Characteristic Curves," Medical Decision Making, , vol. 37(7), pages 802-814, October.
    6. Troost, Christian & Huber, Robert & Bell, Andrew R. & van Delden, Hedwig & Filatova, Tatiana & Le, Quang Bao & Lippe, Melvin & Niamir, Leila & Polhill, J. Gareth & Sun, Zhanli & Berger, Thomas, 2023. "How to keep it adequate: A protocol for ensuring validity in agent-based simulation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 159, pages 1-21.
    7. Jagpreet Chhatwal & Tianhua He, 2015. "Economic Evaluations with Agent-Based Modelling: An Introduction," PharmacoEconomics, Springer, vol. 33(5), pages 423-433, May.
    8. Uwe Siebert & Oguzhan Alagoz & Ahmed M. Bayoumi & Beate Jahn & Douglas K. Owens & David J. Cohen & Karen M. Kuntz, 2012. "State-Transition Modeling," Medical Decision Making, , vol. 32(5), pages 690-700, September.

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