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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. 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).
    2. 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.
    3. 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.
    4. 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.
    5. repec:ijm:journl:v109:y:2017:i:1:p:167-200 is not listed on IDEAS
    6. 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.
    7. 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.
    8. Jagpreet Chhatwal & Tianhua He, 2015. "Economic Evaluations with Agent-Based Modelling: An Introduction," PharmacoEconomics, Springer, vol. 33(5), pages 423-433, May.

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