Cost effectiveness analysis (CEA) models are a means to predict the costs and effectiveness of an intervention based on the best available evidence. They provide a robust analytical approach for policy makers and regulators to assess if the cost associated with an intervention is worth paying. We principally use Microsoft® Excel®, but are also adept in the use of other industry standard software packages as required. Our team is led by senior modellers, and supported by specialist statistics professionals, who can help you decide on the solution for your particular modelling needs.
At DRG Abacus, our dedicated Health economics (HE) modelling team have extensive experience in the design, construction, data population and testing of models. Our approach reflects the good practice guidelines laid out by International Society for Pharmacoeconomic and Outcomes Research (ISPOR) and the demands of the major Health Technology Assessment (HTA) authorities.
DRG Abacus has been developing health economic models since 1995 and has a large team of expert modellers. We are able to manage all aspects of the model development process in-house and are experienced in developing user-friendly models for use by clients. We focus on presenting arguments clearly and transparently; our models are designed to be attractive, intuitive and accessible, regardless of their complexity.
There is no ‘one size fits all’ approach from our modelling teams, with each project’s unique requirements being investigated by the modelling team and supported by techniques built up over 20 years of modelling; these include:
We always recommend that clients include clinical Key Opinion Leader (KOL) input to ensure that the resulting models accurately reflect the decision problem. Furthermore, all stages of the modelling process have integrated client review and sign-off, validation of the model by internal and, when appropriate, external modellers.
Read our case study to find out more about our methodological approach for reviewing, validating and formalising a complex patient-level simulation model for NICE submission.Download