2024
How many Monte Carlo samples are needed for probabilistic cost-effectiveness analyses?
Yaesoubi R. How many Monte Carlo samples are needed for probabilistic cost-effectiveness analyses? Value In Health 2024, 27: 1553-1563. PMID: 38977192, DOI: 10.1016/j.jval.2024.06.016.Peer-Reviewed Original ResearchProbabilistic sensitivity analysesIncremental cost-effectiveness ratioProbabilistic cost-effectiveness analysisCost-effectiveness analysisEstimate incremental cost-effectiveness ratiosIncremental cost-effectiveness ratio estimatesCost-effectiveness ratioDecision optionsStochastic modelPresence of parameter uncertaintiesCostParameter uncertaintiesUncertaintyLevel of accuracyInequalitySensitivity analysisEstimationMonteModelMonte Carlo samplingParameter samplesChebyshev inequality
2011
Generalized Markov models of infectious disease spread: A novel framework for developing dynamic health policies
Yaesoubi R, Cohen T. Generalized Markov models of infectious disease spread: A novel framework for developing dynamic health policies. European Journal Of Operational Research 2011, 215: 679-687. PMID: 21966083, PMCID: PMC3182455, DOI: 10.1016/j.ejor.2011.07.016.Peer-Reviewed Original ResearchMathematical modelDynamic optimization techniquesGeneralized Markov modelClass of modelsState space sizeMarkov chain modelInfectious disease spreadOptimization techniquesDiscrete-time Markov chain modelComputation timeHost transmission dynamicsChain modelInfectious diseasesSpace sizeHost natural historyMarkov modelHealth policyPrevious modelsPublic health interventionsTransmission dynamicsClassModelReal-time selectionDisease spreadHealth interventions