Calculating the Expected Value of Sample Information in Practice: Considerations from 3 Case Studies
Heath A, Kunst N, Jackson C, Strong M, Alarid-Escudero F, Goldhaber-Fiebert JD, Baio G, Menzies NA, Jalal H. Calculating the Expected Value of Sample Information in Practice: Considerations from 3 Case Studies. Medical Decision Making 2020, 40: 314-326. PMID: 32297840, PMCID: PMC7968749, DOI: 10.1177/0272989x20912402.Peer-Reviewed Original ResearchMeSH KeywordsCase-Control StudiesCost-Benefit AnalysisData AccuracyHumansModels, EconomicMonte Carlo MethodConceptsHealth economic modelApproximation methodEconomic modelTraditional Monte Carlo methodTraditional Monte CarloMonte Carlo algorithmMonte Carlo methodHigh computational burdenSample informationCarlo algorithmData generation processCarlo methodMonte CarloComputational burdenComputational speedPolicy decisionsComplex decision modelsComputation methodDecision modelRealistic exampleSample sizeEVSIDifferent examplesExpected valuesCarlo