With close collaboration with our clients, our team of researchers and data scientists combines clinical evidence with data-analytic models to deliver customized epidemiological and disease burden projections under different scenarios. We have expertise in Markov modeling, agent-based simulation, compartmental modeling, and partition-survival modeling. From there, we develop rigorous cost-effectiveness, budget impact, and cost-utility models to support discussions with payers, providers, regulators, and policymakers.
We also have the expertise of developing interactive online tools that can provide a timely way for non-modelers to examine scenarios and conduct customized analysis. Check out our simple Incremental Cost-effectiveness Ratio Calculator to get a glimpse into the types of models and tools our team can develop.