Titlebook: Cost Effectiveness Modelling for Health Technology Assessment; A Practical Course Richard Edlin,Christopher McCabe,Judy Wright Textbook 201

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,Verhaltens?nderung als Lernproze?,are alternative courses of action. Having introduced decision trees for cost effectiveness modelling, we now move on to Markov models. This chapter provides an introduction to Markov models for cost effectiveness analysis, guiding you through when Markov modelling should be used; the concept of heal

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Jürgen Freimann,Reinhard Pfriemlow through a pathway, represented by health states in our model, they will experience clinical events. Clinical events are measured in real life by conducting clinical research or audit and are reported as health outcomes. It is these health outcomes that are represented in our model by effectivene

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deterministic model and conducting one-way sensitivity analyses can aid the analyst in checking the validity of the underlying model. Given the importance of checking that a model is performing as expected, it is good practice to build your models with the ability to operate in either deterministic

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truct them and their strengths and weaknesses. Focus lies on probabilistic sensitivity analysis (PSA). Use of PSA ensures that the estimate of the Incremental Cost Effectiveness Ratio (ICER), and by extension the Net Benefit, is unbiased if the model is non-linear. PSA also enables us to characteris

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s it is apparent that we need to think about more than simply the effectiveness of the intervention undergoing evaluation if we are to meet this objective. Research is expensive and subjects patients to the risk of experimentation. Both of these factors, set in the context of uncertainty, have the p

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