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

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Probability Distributions for Effectiveness Parameters,onducting clinical research or audit and are reported as health outcomes. It is these health outcomes that are represented in our model by effectiveness parameters. In this chapter we consider how these parameters can be incorporated into a model in a manner that captures the uncertainty in estimated effectiveness.

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Outputs from Probabilistic Sensitivity Analysis,remental Cost Effectiveness Ratio (ICER), and by extension the Net Benefit, is unbiased if the model is non-linear. PSA also enables us to characterise the uncertainty in the inputs to the model and thereby quantify the resulting uncertainty in the model outputs.

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Grundlagen menschlichen Verhaltens,nant of the quality of the results of a model. This chapter will familiarise you with the good practice in the processes of identifying evidence for cost effectiveness models and evidence sources, factors to consider when selecting sources, and it will show you how to construct a search strategy.

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Jürgen Freimann,Reinhard Pfriempatient population. Having considered the range of distributions that are most frequently used for characterising effectiveness parameters and the uncertainty regarding their true values in Chap. 6, in this chapter we consider the remaining two types of parameter required for cost effectiveness models: cost parameters and utility parameters.

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Jürgen Freimann,Reinhard Pfriemlated and, so far as possible, take this into account. In this chapter, we introduce the most frequently used method for incorporating correlations into probabilistic analysis – Cholesky Decomposition.

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ation analyses can allow decision makers to compare different responses to uncertainty, with examples that compare the value of delaying reimbursement to allow future research with the use of different regulatory schemes that may allow at least limited access to technologies until research reports.

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otential to incur opportunity costs within a population. This concluding chapter builds on Chap. 12 setting the context for the use of Value of Information in research prioritisation and research design.

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Economic Evaluation, Cost Effectiveness Analysis and Health Care Resource Allocation,o they decide which new technologies, programmes or service delivery models to adopt; and how do they decide what represents acceptable value for money? The purpose of this book is to provide an introduction to decision analytic cost effectiveness modelling, providing the theoretical and practical k