Recai Yucel

Following his doctoral training at Pennsylvania State University, Recai Yucel completed a postdoctoral fellowship at the Department of Health Care Policy at Harvard Medical School. He then worked as a statistical advisor at the Institute for Health Policy at the Massachusetts General Hospital and Harvard Medical School. During this time, Dr. Yucel was awarded a fellowship by the American Statistical Association and the National Center for Health Statistics to develop and disseminate methods for handling item nonresponse in complex sample surveys.

Dr. Yucel’s research is mainly centered around missing data in complex data structures and on measurement error. Substantive issues in health services research, prevention research, social sciences and more general public health problems motivate his statistical research agenda. Some of the other research topics include computational algorithms and software development, hierarchical and latent variable models, models and methods for response errors and applied Bayesian statistics. To date, he has published close to 75 research articles in refereed journals, including the Journal of the American Statistical Association, Statistics in Medicine, The American Statistician, and Medical Care. He has also been PI and Co-PI on numerous research grants funded by the NIH, CDC and NSF.