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Simple Markov Models (Homogeneous)

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The most simple Markov models in health economic evaluation are models were transition probabilities between states do not change with time. Those are called homogeneous or time-homogeneous Markov models. In this example we will model the cost effectiveness of lamivudine/zidovudine combination therapy in HIV infection (Chancellor, 1997 further described in Decision Modelling for Health Economic Evaluation, page 32. For the sake of simplicity we will not reproduce exactly the analysis from the book. See vignette vignette("i-reproduction", "heemod") for an exact reproduction of the analysis. This model aims to compare costs and utilities of two treatment strategies, monotherapy and combined therapy. Four states are described, from best to worst health-wise: Transition probabilities for the monotherapy study group are rather simple to implement with define_transition(): The combined therapy group has its transition probabilities multiplied by rr=0.509 𝑟 𝑟 = 0.509 , the relative risk of

Simple Markov Models (Homogeneous) Simple Markov Models (Homogeneous) 2025-06-16 Model description Transition probabilities State values Strategy definitions Running the model Result interpretation The most simple Markov models in health economic evaluation are models were transition probabilities between states do not change with time. Those are called homogeneous or time-homogeneous Markov models. Model description In this example we will model the cost effectiveness of lamivudine/zidovudine combination therapy in HIV infection ( Chancellor, 1997 further described in Decision Modelling for H

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