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Felicitas Kuehne
Felicitas Kuehne is a Senior Scientist in Health Decision Science and Epidemiology and Coordinator of the Program on Causal Inference in Science at the Department of Public Health,...voir plusFelicitas Kuehne is a Senior Scientist in Health Decision Science and Epidemiology and Coordinator of the Program on Causal Inference in Science at the Department of Public Health, Health Services Research and Health Technology Assessment at UMIT in Austria. She conducts decision-analytic modeling studies for causal research questions in several disease areas and teaches epidemiology and causal inference. She is the Coordinator of the HTADS course “Causal Inference in Observational Studies and Clinical Trials Affected by Treatment Switching: A Practical Hands-on Workshop.”
Felicitas completed her Master of Science in Health Policy and Management at the Harvard School of Public Health in 2001. From 2001 to 2011, she worked as a consultant for pharmaceutical companies, conducting several cost-effectiveness analyses in a variety of disease areas. She joined UMIT in 2011 and is currently enrolled in the doctoral program in Public Health.
Her research interests include decision-analytic modeling and health technology assessment (HTA), outcomes research, personalized medicine, and causal inference methods and applications. She has worked in cardiovascular disease, cancer, infectious diseases including HIV/AIDS and hepatitis C, and others.voir moins
Livres par Felicitas Kuehne
Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS