Anita is Head of Decision Analytic Modeling within Health Economics at RTI Health Solutions. She develops mathematical models to assess the economic value of emerging pharmaceutical and biotechnology products. These models include cost-effectiveness, budget-impact, population, and other models that use mathematical methods including Markov and other stochastic models, infectious disease dynamic transmission models, patient-level simulations, regression, and linear and nonlinear programming. She has developed models and analyses in the areas of HIV, RSV, hepatitis C, influenza, cystic fibrosis, women's health, oncology, osteoporosis, chronic pain, age-related macular degeneration, mental health, epilepsy, bone healing, and hospital-acquired infection. She has presented workshops and short courses on decision-analytic modeling techniques in a variety of venues, and her research has been presented at professional conferences and published in peer-reviewed journals.
Anita Brogan is Head of Decision Analytic Modeling within the Health Economics division at RTI Health Solutions (RTI-HS). She holds a PhD in Operations Research from the University of North Carolina and has been with RTI-HS for 15 years. She has presented workshops, distance learning courses, and short courses on decision-analytic modeling techniques in a variety of venues, including meetings of the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the Academy of Managed Care Pharmacy (AMCP). Dr. Brogan has held an adjunct professorship in the Fermanian School of Business at Point Loma Nazarene University. She is also a coauthor of the newly published book Budget-Impact Analysis of Health Care Interventions: A Practical Guide. In her role at RTI-HS, Dr. Brogan uses analytical techniques to assess and present the clinical and economic value of emerging pharmaceutical and biotechnology products. She leads development of user-friendly and transparent cost-effectiveness, cost-utility, and cost-consequence models; budget-impact models; resource allocation models; and infectious disease transmission models programmed in Microsoft Excel and other platforms. She has experience with numerous types of modeling procedures, including Markov and other stochastic models, simulation, regression, linear and nonlinear programming, and various types of sensitivity analysis. Dr. Brogan has developed models and analyses in the areas of HIV, hepatitis C, RSV, influenza, cystic fibrosis, mental health, women’s health, oncology, osteoporosis, chronic pain, age-related macular degeneration, bone healing, hospital-acquired infection, financial portfolio optimization, and vehicle routing. Her research has been presented at various professional conferences and published in peer-reviewed journals.