Process / pipelineSimulation / optimization

Deterministic Markov Model — Fixed-parameter cohort state-transition analysis

A 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.

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Sources

  1. 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
  2. Briggs, A., Sculpher, M., & Claxton, K. (2006). Decision Modelling for Health Economic Evaluation. Oxford University Press. ISBN: 9780198526629

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Referenced by

ScholarGateDeterministic Markov Model (Deterministic Markov Model — Fixed-parameter Markov chain for cohort-level state transitions). Retrieved 2026-06-04 from https://scholargate.app/en/simulation/deterministic-markov-model