modelling technologies, basing analyses on a limited subset of the available data, and insufficiently reflecting the uncertainty …

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 … with healthcare delivery systems. Microsimulation modelling of transmission systems at the population level is also rapidly …

Objective: To evaluate the economic efficiency of influenza vaccination using both dynamic and static modelling …

While no single type of model can provide adequate answers under all circumstances, any modelling endeavour should … are essentially two different approaches in modelling a population over time: a cohort-based approach and a population …

acute episodes/relapses. Although modelling techniques play an increasingly important role in the economic evaluation of … depression interventions, comparatively little attention has been paid to issues around modelling studies with a focus on … potential biases. This, however, is important as different modelling approaches, variations in model structure and input …

mathematical modelling (both deterministic and stochastic) of future events important for cost effectiveness. Abstract: Objectives …:Objectives: This study surveys cost-effectiveness analyses of smoking cessation, with a particular focus on the mathematical modelling … modelling. Abstract: Conclusions:Conclusions: In general, studies are well performed as regards modelling. Common weaknesses …