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title: "Alexander McLain"
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I am a Professor in the [Department of Epidemiology and
Biostatistics](https://www.sc.edu/study/colleges_schools/public_health/study/areas_of_study/epidemiology_biostatistics/index.php) 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. <br>

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## Contact

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Alexander McLain, PhD<br> 
Professor, Department of Epidemiology and Biostatistics,<br> 
Arnold School of Public Health,<br> 
University of South Carolina,<br>
Director, Statistical and Data Management Core,<br> 
[Research Center for Child Well-Being.](https://rccwb.sc.edu/) <br>
Email: alex (dot) mclain (at) sc (dot) edu. <br>

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![](img/Headshot-May-2023-a_squ.jpeg)

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[GitHub](https://github.com/alexmclain) \|
[Google Scholar](https://scholar.google.com/citations?user=_IVNctIAAAAJ&hl=en&oi=sra) \| 
[Orcid](https://orcid.org/0000-0002-5475-0670) \|
[Web of Science](https://www.webofscience.com/wos/author/record/AFD-8215-2022) \| 
[University of South Carolina](https://www.sc.edu/study/colleges_schools/public_health/faculty-staff/mclain_alexander.php)