With one of the largest in-house teams of modelers, Evidera has developed hundreds of health economic and other models in all major therapeutic indications and for all major markets.
Evidera’s experts design and implement models to help you:
The models we build help provide evidence for submissions to health authorities and decision makers around the world, including the National Institute for Health and Care Excellence (NICE), the Canadian Agency for Drugs and Technologies in Health (CADTH) and the Pharmaceutical Benefits Advisory Committee (PBAC), among others.
Evidera’s dedication to identifying, developing, and implementing the best possible modeling methods and techniques led us to introduce discrete event simulation (DES) to the healthcare field, and most recently, the unifying Discretely-Integrated Condition Event Simulation (DICE) methodology. Today, Evidera’s specialists are leaders in simulation, multi-criteria decision analysis (MCDA), simulated trial comparisons, and numerous other cutting-edge methodologies. We’ve recently launched Alzheimer’s disease ACE simulation using EviDICE™, Evidera’s Excel-based platform for operationalizing DICE simulations. We’re also active in the field, contributing to task forces on modeling and MCDA and played a leading role in the development of the latest ISPOR-SMDM modeling guidelines.
Regardless of the complexity of the modeling approach adopted, all of Evidera’s models are rigorously constructed, verified, and validated in accordance with the most recent modeling guidelines.
Prioritize your product portfolio and data/research needs.
Assess interventions by estimating their health outcomes and cost consequences.
Quantify the financial consequence to payers of adopting an intervention.
Assess the impact of trial design features on the likely outcomes and help identify target populations and estimate sample sizes.
Understand the natural history of disease, its impact on patients and costs, and how interventions can modify these outcomes.
A user-friendly, transparent, and validated Microsoft Excel-based platform for efficient and effective implementation of Discretely-Integrated Condition Event (DICE) simulation. Click here for more info.
Support commercial strategy development, inform clinical trial designs, and meet HTA agency requirements for formal submission with a comprehensive, extensively documented, multi-application simulator of Alzheimer’s Disease. Click here for more info.
Forecast the size and makeup of target populations.
Synthesize multiple sources of data to support investment decisions, benefit-risk assessments, payer communications and patient-centered decision making. Click here for more info.
Use targeted comparisons to overcome challenges of traditional methods for indirect treatment comparison without compromising validity of results. Click here for more info.
Develop tools with predictive algorithms to assist in therapeutic decision making and facilitate communication with patients.
Forecast health consequences of public health interventions or policies.
Pressure test every aspect of a model, including its structure, assumptions, data sources, accuracy and more.
Gain valuable information through the use of rank preserving structural failure time (RPSFT) models, inverse probability of censoring weighted (IPCW) analyses and simulation-based adjustment.
Adjust models to specific countries to facilitate market access.