MSc, Applied Statistics and Datamining
University of St. Andrews, St. Andrews, United Kingdom
University of London, London, United Kingdom
Farzam Kamgar, MSc is a Decision Analytic Modeler at RTI Health Solutions. Following completion of his studies, he joined the Health Economics team at Adelphi Values. In this role Farzam gained experience in using real world evidence and developing health economic models to inform decisions on the efficient allocation of resources available to healthcare providers. In addition to this he expanded on his experience in developing quantitative assessments of the impact of healthcare treatments, practices, and policies, either through cost-effectiveness analyses or budget impact analysis in Microsoft Excel, R statistical programme and R shiny. He joined RTI Health Solutions Nordic team in March 2021. Since then, Farzam has worked on numerous oncology models (specifically lung, bladder and haematological cancers) which have been used to support HTA reimbursement decisions including NICE in UK, SMC in Scotland, TLV in Sweden, DMC in Denmark and NOMA in Norway.