Process / pipelineSimulation / optimization
确定性马尔可夫模型 — 固定参数队列状态转移分析
确定性马尔可夫模型是一种队列水平的状态转移模型，其中所有转移概率、状态效用和成本都被赋予单一固定值，并且模型在单次传递中进行解析求解。该模型广泛应用于卫生技术评估、政策分析和运筹学研究，它在离散时间周期内追踪一个假设的队列在相互排斥的健康或系统状态之间转移，累积预期结果，如质量调整生命年（QALYs）或成本。
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来源
- 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
如何引用本页
ScholarGate. (2026, June 3). Deterministic Markov Model — Fixed-parameter Markov chain for cohort-level state transitions. ScholarGate. https://scholargate.app/zh/simulation/deterministic-markov-model
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