State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3
State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3
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DOI：
10.1177/0272989x12455463
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发表时间：
2012-09-01
影响因子：
3.6
通讯作者：
Kuntz, Karen M.
中科院分区：
文献类型：
--
作者：
Siebert, Uwe;Alagoz, Oguzhan;Kuntz, Karen M.
状态转换建模（STM）是一种直观、灵活、透明的基于计算机的决策分析建模方法，包括马尔可夫模型队列模拟和基于个体的（一阶蒙特卡罗）微观模拟。STM将决策问题概念化为一组（健康）状态和这些状态之间的转换，是临床决策分析，卫生技术评估和卫生经济评估中最广泛的建模技术之一。STM已用于许多不同的人群和疾病，其应用范围从个性化的医疗保健策略到公共卫生计划。最常见的是，状态转换模型用于评估风险因素干预，筛查，诊断程序，治疗策略和疾病管理计划。
State-transition modeling (STM) is an intuitive, flexible, and transparent approach of computer-based decision-analytic modeling, including both Markov model cohort simulation as well as individual-based (first-order Monte Carlo) microsimulation. Conceptualizing a decision problem in terms of a set of (health) states and transitions among these states, STM is one of the most widespread modeling techniques in clinical decision analysis, health technology assessment, and health-economic evaluation. STMs have been used in many different populations and diseases, and their applications range from personalized health care strategies to public health programs. Most frequently, state-transition models are used in the evaluation of risk factor interventions, screening, diagnostic procedures, treatment strategies, and disease management programs.