Whether your research questions concern efficacy and safety of interventions, the relationship between endpoints, the natural course of the disease, or the burden of disease, the starting point is the same: a rigorous, systematic literature review to identify, select, and extract data from relevant studies.
We use advanced methods to simultaneously analyze multiple interventions, outcomes, and study designs; these combined findings provide a deep understanding of the data. Our advanced network meta-analyses, including analysis of survival curves, repeated measures analysis, and combination of patient- and study-level data, provide the level of evidence needed for successful strategies and submissions.
Evidence-based decision-analytic models assess risk-benefit, cost-effectiveness, and the public health impact of medical interventions developed according to the latest methodological guidelines and the requirements of HTA and reimbursement bodies.
Population models estimate the financial impact that a new treatment introduces to the payer budget.