I am a 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 neuroimaging maternal child-health, nutrition, and disease mapping (with various outcomes). 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
Professor, Department of Epidemiology and Biostatistics,
Arnold School of Public Health,
University of South Carolina,
Director, Statistical and Data Management Core,
Research Center for Child Well-Being.
Email: alex (dot) mclain (at) sc (dot) edu.

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