In a recent leading article in PharmacoEconomics, Nuijten described some methods for incorporating uncertainty into health economic models and for utilising the information on uncertainty regarding the cost effectiveness of a therapy in resource allocation decision-making. His proposals are...

Background: A recent study found fewer hospitalizations for congestive heart failure (CHF) patients receiving high-dose versus low-dose statin therapy. Objective: To examine the cost effectiveness of high-dose versus low-dose statin therapy in CHF patients. Methods: Two scenarios...

The past few years have seen rapid changes in the methods of decision-analytic modelling of healthcare programmes for the purposes of economic evaluation. This paper focuses on four developments in modelling that have emerged over the past few years or have become more widely used. First, no one...

Objective:Objective: The aim of this study was to examine how calibration uncertainty affects the overall uncertainty of a mathematical model and to evaluate potential drivers of calibration uncertainty. Abstract: Methods:Methods: A lifetime Markov model of the natural history of human...

Background: Mathematical models are commonly used to predict future benefits of new therapies or interventions in the healthcare setting. The reliability of model results is greatly dependent on accuracy of model inputs but on occasion, data sources may not provide all the required inputs....