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Modelo de Markov determinista×Análisis de Sensibilidad×
CampoSimulaciónToma de decisiones
FamiliaProcess / pipelineMCDM
Año de origen19932004
Autor originalSonnenberg, F. A. & Beck, J. R.Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M.
TipoCohort state-transition model with fixed transition probabilitiesRobustness wrapper — parameter / weight perturbation sensitivity indices
Fuente seminalSonnenberg, F. A., & Beck, J. R. (1993). Markov models in medical decision making: a practical guide. Medical Decision Making, 13(4), 322–338. DOI ↗Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester DOI ↗
AliasDMM, Deterministic Markov Chain, Cohort Markov Model, Fixed-Parameter Markov Model
Relacionados50
ResumenA Deterministic Markov Model is a cohort-level state-transition model in which all transition probabilities, state utilities, and costs are assigned single fixed values and the model is solved analytically in a single pass. Widely used in health technology assessment, policy analysis, and operations research, it traces a hypothetical cohort through mutually exclusive health or system states over discrete time cycles, accumulating expected outcomes such as quality-adjusted life years (QALYs) or costs.SENSITIVITY-ANALYSIS (Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations) is a ranking multi-criteria decision-making (MCDM) method introduced by Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. in 2004. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateComparar métodos: Deterministic Markov Model · SENSITIVITY-ANALYSIS. Recuperado el 2026-06-15 de https://scholargate.app/es/compare