方法证据记录
Stochastic Markov Model
A Stochastic Markov Model is a simulation technique that represents a system as a set of mutually exclusive health or decision states, moves a cohort (or individual agents) through those states using probabilistically sampled transition parameters, and aggregates outcomes across thousands of Monte Carlo iterations to produce full probability distributions over costs, outcomes, or rankings rather than single point estimates.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Stochastic Markov Model — Probabilistic State-Transition Simulation with Uncertainty Propagation
分类方法记录 · process-pipeline / simulation
- Sonnenberg, F. A., & Beck, J. R. (1993). Markov models in medical decision making: A practical guide. Medical Decision Making, 13(4), 322–338. · DOI 10.1177/0272989X9301300409
- Briggs, A., Sculpher, M., & Claxton, K. (2006). Decision Modelling for Health Economic Evaluation. Oxford University Press. · ISBN 9780198526629
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