In economic evaluation, mathematical models have a central role as a way of integrating all the relevant information about a disease and health interventions, in order to estimate costs and consequences over an extended time horizon. Models are based on scientific knowledge of disease (which is...

<Emphasis Type="Bold">Background: The importance of assessing the accuracy of health economic decision models is widely recognized. Many applied decision models (implicitly) assume that the process of identifying relevant values for a model’s input parameters is sufficient to prove the model’s accuracy. The...</emphasis>

Background: The importance of assessing the accuracy of health economic decision models is widely recognized. Many applied decision models (implicitly) assume that the process of identifying relevant values for a model's input parameters is sufficient to prove the model's accuracy. The selection...

Objective This paper explores the policy process involved in the production of cost-effectiveness information in the context of both national and local policy-making requirements. We use the decision to implement a new technology for cervical cancer screening (liquid-based cytology) in England...

Healthcare systems in low- and middle-income countries face considerable population healthcare needs with markedly fewer resources than those in higher income countries. The way in which available resources are allocated across competing priorities has a profound effect on how much health is...

Probabilistic sensitivity analysis (PSA) is required to account for uncertainty in cost-effectiveness calculations arising from health economic models. The simplest way to perform PSA in practice is by Monte Carlo methods, which involves running the model many times using randomly sampled values...

type="main" xml:id="rssa12018-abs-0001" <title type="main">Summary</title> <p>Health technology assessment requires the synthesis of evidence from multiple sources to assess the cost-effectiveness of competing interventions. However, the format of the available reported evidence is often complex. We present a case-study of...</p>

Modelling in economic evaluation is an unavoidable fact of life. Cohort-based state transition models are most common, though discrete event simulation (DES) is increasingly being used to implement more complex model structures. The benefits of DES relate to the greater flexibility around the...