Decision Analytic Modelling

PATH has a multidisciplinary team of experienced researchers including health economists, decision scientists, mathematicians, pharmacists, epidemiologists, and clinical experts in every disease area. This breadth of expertise and knowledge has permitted us to develop a range of decision analytic models from simple decision trees and recursive decision trees, to more complicated Markov models, Discrete Event Simulations and Infectious Disease Models. We have over 2 decades of experience developing models in every disease area and inn a range of healthcare interventions including:

• Pharmaceuticals
• Medical devices
• Surgical procedures
• Diagnostic imaging
• Programs and services
• Public health interventions

We specialize in modeling of disease progression, survival (mortality) analyses, time-to-event analyses, multiple treatment and indirect comparison methods, treatment sequencing analyses, modeling of treatment effectiveness including the incorporation of treatment side effects, adverse events and treatment adherence (compliance and persistence), probabilistic modeling and discrete event simulation, and all types/stages of model validation. PATH develops cost-effectiveness and Budget Impact Analysis (BIA) models that are transparent, tailor customized to each product and fully scalable to accommodate increasing disease and treatment sequencing complexity. To maximize flexibility, PATH uses a number of different software packages including popular spreadsheets in Visual Basic programming (Microsoft Excel), spreadsheet add-on packages (Crystal Ball, Tree Plan, Precision Tree), and free-standing modeling packages (TreeAge, @ Risk, Decision Pro, Arena, Monarch)