I am an Associate Professor in the Department of Epidemiology and Biostatistics at the University of South Carolina. I have a broad range of statistical interests including Bayesian methods for high-dimensional linear regression, modeling complex longitudinal and clustered data, length-biased survival analysis, and multiple testing. Recently, most of my research has focused on computationally feasible Bayesian methods for prediction, predictive inference, and variable selection for high-dimensional regression models. My areas of application are in maternal child-health, nutrition, disease mapping (with various outcomes), and neuroimaging. I am an Associate Editor for Statistics in Medicine and is a Statistical Consultant for the American Journal of Obstetrics and Gynecology, I was formerly an Associate Editor for The American Statistician, a member of the Statistical Review Board for the American Society of Nutrition.

Contact

Alexander McLain, PhD
Associate Professor
Director, Statistical and Data Management Core,
Research Center for Child Well-Being https://rccwb.sc.edu/
Department of Epidemiology and Biostatistics
Arnold School of Public Health
University of South Carolina

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