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discrete-event simulation models  (Simio LLC)

 
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    Simio LLC discrete-event simulation models
    Discrete Event Simulation Models, supplied by Simio LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/discrete+event+simulation+models/discrete+event+simulation+model/pmc10783703-114-16-24
    Average 90 stars, based on 1 article reviews
    discrete-event simulation models - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Systems Engineering Methods for Enhancing the Value Stream in Public Health Preparedness: The Role of Markov Models, Simulation, and Optimization
    Article Snippet: The NC LHDs shared the details of their clinic operations to inform development of the discrete event simulation (DES) models and facilitate the creation of reasonably accurate 3D depictions of the clinics using Simio ® simulation software.



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    Markov and the Discrete Event Simulation models used in the analysis. P1: Probability of graft failure after transplantation; P2: Probability of death after transplantation; P3: Probability of death after graft failure; P4: Probability of death while waitlisted. T1: Time-to-graft failure after transplantation; T2: Time-to-death after transplantation; T3: Time-to-death after graft failure; T4: Time-to-death while waitlisted

    Journal: Health Economics Review

    Article Title: Time-to-event analysis in economic evaluations: a comparison of modelling methods to assess the cost-effectiveness of transplanting a marginal quality kidney

    doi: 10.1186/s13561-021-00312-4

    Figure Lengend Snippet: Markov and the Discrete Event Simulation models used in the analysis. P1: Probability of graft failure after transplantation; P2: Probability of death after transplantation; P3: Probability of death after graft failure; P4: Probability of death while waitlisted. T1: Time-to-graft failure after transplantation; T2: Time-to-death after transplantation; T3: Time-to-death after graft failure; T4: Time-to-death while waitlisted

    Article Snippet: Decision analytic models: a Markov model and a Discrete event simulation model were constructed using TreeAge Pro 2020 with the purpose of estimating the incremental costs and quality-adjusted life years (QALY) (Fig. ).

    Techniques: Transplantation Assay

    Cost (AUD), QALY and net monetary benefit per patient by model and time-horizon for the Markov and DES models

    Journal: Health Economics Review

    Article Title: Time-to-event analysis in economic evaluations: a comparison of modelling methods to assess the cost-effectiveness of transplanting a marginal quality kidney

    doi: 10.1186/s13561-021-00312-4

    Figure Lengend Snippet: Cost (AUD), QALY and net monetary benefit per patient by model and time-horizon for the Markov and DES models

    Article Snippet: Decision analytic models: a Markov model and a Discrete event simulation model were constructed using TreeAge Pro 2020 with the purpose of estimating the incremental costs and quality-adjusted life years (QALY) (Fig. ).

    Techniques: