2024
Net Monetary Benefit Lines Augmented with Value-of-Information Measures to Present the Results of Economic Evaluations under Uncertainty
Yaesoubi R, Kunst N. Net Monetary Benefit Lines Augmented with Value-of-Information Measures to Present the Results of Economic Evaluations under Uncertainty. Medical Decision Making 2024, 44: 770-786. PMID: 39056310, DOI: 10.1177/0272989x241262343.Peer-Reviewed Original ResearchResults of cost-effectiveness analysesNet monetary benefitCost-effectiveness planeCost-effectiveness analysisMonetary benefitsDecision uncertaintyDecision problemEffect estimatesHypothetical decision problemResults of economic evaluationsValue-of-informationDecision makersCost-effectiveness ratioEconomic evaluation studiesCorrelated costsHigh varianceLevel of uncertaintyParameter uncertaintiesEconomic evaluationMagnitude of parametersMakersDecisionUncertaintyCostMonetaryHow 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
2018
Accurate quantification of uncertainty in epidemic parameter estimates and predictions using stochastic compartmental models
Zimmer C, Leuba SI, Cohen T, Yaesoubi R. Accurate quantification of uncertainty in epidemic parameter estimates and predictions using stochastic compartmental models. Statistical Methods In Medical Research 2018, 28: 3591-3608. PMID: 30428780, PMCID: PMC6517086, DOI: 10.1177/0962280218805780.Peer-Reviewed Original ResearchConceptsFilter degeneracyParameter estimatesPosterior distributionStochastic transmission-dynamic modelParameter posterior distributionsEpidemic compartmental modelKey epidemic parametersStochastic compartmental modelStochastic systemsPrediction intervalsCompartmental modelMultiple shootingArt calibration methodsEpidemic parametersDegeneracyDynamic modelInfluenza modelMSS approachLong-term predictionTransmission dynamic modelSimulation experimentsCalibration methodUncertaintyEstimatesCompetitive performance