Services

• Perform targetted literature reviews to gather available evidence for health economic models.
• A thorough examination of the literature is beneficial for finding prior modeling techniques used in the therapeutic field, analyzing information on efficacy and safety for the therapies under consideration, and finding data on costs and quality of life that may have been published.
• In the absence of head-to-head data, we use network meta-analysis and population-adjusted indirect comparisons to assess relative treatment effects
• We use other comparative effectiveness approaches as well like simulated treatment comparison (STC) and multi-level network regression (ML-NMR)

• To assist access and reimbursement discussions, we develop cost-effectiveness and budget impact models for the Global and country (or HTA) specific market.
• To address a wide range of questions regarding the assessment of multiple treatments, we develop decision trees, state-transition, and patient simulation models.
• To guide go/no go decisions as well as future clinical trial designs of pharmaceutical products, we develop early-stage models with very limited data.
• We have extensive experience in adapting and in-depth customization of global models for health technology assessment (HTA) agencies worldwide.
• We provide model validation by assessing clinical validation, assumpting regarding the model structure, VBA coding, and calculation checks.
• We have extensive experience in the development and deployment of R-Shiny web-based health economic models and automated platforms (Please see the advanced analytics section)

We collaborate with customers to create training sessions and materials that are tailored to their specific needs. Our training includes a variety of topics, such as:

• Development of excel based health economic models (e.g. cost-effectiveness, budget impact, cost minimization, etc.) which includes model conceptualization, calculations in excel, programming in VBA, adding sensitivity analysis, and interpreting the results​.
• A complete guide on survival analysis ranging from standard Kaplan-Meier analysis, parametric extrapolations, splines, to the advanced methodologies like cure fraction modeling, parametric mixture modeling, response based landmark modeling, and bayesian survival modeling.
• Development of R-Shiny-based economic models starting from fresh R script to the deployment of the platform on various servers like AWS, Azure, shinyapps.io, etc.
• Comparative-effectiveness techniques like meta-analysis, network meta-analysis, MAIC, STC and ML-NMR.