Recai Yucel
Associate Professor
Epidemiology and Biostatistics
University at Albany
United States of America
Biography
Recai Yucel's research is motivated by methodological issues in health services research and prevention research. Specifically, his work focuses on computational algorithms and software development, hierarchical and latent variable models, models and methods for response errors and applied Bayesian statistics. Yucel has worked with investigators at the Methodology Center at Pennsylvania State University to develop a statistical methodology for analyzing incomplete multivariate multilevel data. He 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.
Research Interest
Recai Yucel focuses on statistical methods for missing and multilevel (or clustered) data. Recai Yucel is interested in the following areas: Bayesian computational algorithms and software development, hierarchical and latent variable models, models and methods for response errors, and analysis of large observational datasets. Most of my research is motivated by methodological issues in public health research, prevention research and health services research
Publications
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Yucel, R.M., Yulei, He and Zaslavsky, A.M. (2008) Using calibration to improve rounding in multiple imputation. Forthcoming in The American Statistician.
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Yucel, R.M. (2008) Multiple imputation inference from multivariate multilevel continuous data with ignorable nonresponse. Forthcoming in the Philosophical Transacations of the Royal Society, Series A.
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Yucel, R.M. and Demirtas, H. (2008) Impact of non-normal random effects on inference by multiple imputation: A simulation assessment. Submitted.
