引用本文: 周挺,马爱霞,付露阳.药物经济学评价Markov模型中转移概率计算的探讨[J].中国卫生经济,2017,(12):40-42.[点击复制] .Discusion on the Calculation of Markov Model Transition Probability in Pharmacoeconomics Evaluation[J].CHINESE HEALTH ECONOMICS,2017,(12):40-42.[点击复制]
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药物经济学评价Markov模型中转移概率计算的探讨
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摘要:
Markov模型作为决策分析模型之一,被广泛应用于药物经济学评价中,而不同Markov健康状态间转移概率参数的获取往往是模型构建的难点,通常无法直接得到。本文将通过对现有Markov模型转移概率,特别是时间依赖的动态模型转移概率计算方法进行探讨,并通过实例分析为开展相关研究的学者提供思路。
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Discusion on the Calculation of Markov Model Transition Probability in Pharmacoeconomics Evaluation
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Abstract:
Markov model is one of the decision analysis models, which widely applied in pharmacoeconomic evaluation. The acquisition of transition probability parameters between different Markov health states is difficult in model building and they are usually can’t be obtained directly. In this study, we discussed the calculation of current Markov model transition probability parameters, especially for the time-dependent model. Furthermore, we performed a case analysis to explore how to calculate the transition probability and provide reference for researchers of this field
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