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...

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>

Purpose Young people transitioning from child to adult mental health services are frequently also known to social services, but the role of such services in this study and their interplay with mental healthcare system lacks evidence in the European panorama. This study aims to gather information...

1. Introduction -- 2. Central concepts -- 3. Implementation -- 4. A simple example -- 5. Analyses -- 6. Formulating the required equations -- 7. Efficiency and variance reduction -- 8. Validation -- 9. Special topics -- 10. Case study : breast cancer surveillance.