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Home / Lei Huang

Lei Huang

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 PhD Candidate

 Department of Biostatistics

 Bloomberg School of Public Health, Johns Hopkins University

 615 N. Wolfe Street, E3040, Baltimore, MD 21205, USA.
 Personal Website
 Phone: 1(410) 614-5126
 Email: lehuang [at] jhsph.edu
 Advisor: Ciprian Crainiceanu

Education & Training: 
  • 2011-Present Ph.D Candidate, Biostatistics, Johns Hopkins University. Advisor Ciprian Crainiceanu
  • 2009 M.A., Statistics, Columbia University
  • 2008 B.S., Mathematics, Shanghai Jiao Tong University, China
Professional Experience: 
  • 2009 - 2011 Research Assistant and Data Analyst, Biostatistics Department, Child Study Center at New York University
Selected Publications: 
  1. Philip T. Reiss, Armin Schwartzman, Feihan Lu, Lei Huang, and Erika Proal. Paradoxical results of adaptive false discovery rate procedures in neuroimaging studies. NeuroImage, 2012. To appear.
  2. Philip T. Reiss and Lei Huang. Smoothness selection for penalized quantile regression splines. International Journal of Biostatistics, 2012.
  3. Howard Abikoff, Richard Gallagher, Karen C. Wells, Desiree W. Murray, Lei Huang, Feihan Lu, and Eva Petkova. Remediating organizational functioning in children with adhd: Immediate and long-term effects from a randomized controlled trial. Journal of Consulting and Clinical Psychology, 2012. In Press.
  4. P.T. Reiss, L. Huang, J.E. Cavanaugh, and A. Krain Roy. Resampling-based information criteria for best-subset regression. Annals of the Institute of Statistical Mathematics, 2011.
  5. P.T. Reiss, M. Mennes, E. Petkova, L. Huang, M.J. Hoptman, B.B.Biswal, S.J. Colcombe, X.N. Zuo, and M.P. Milham. Extracting information from functional connectivity maps via function-on-scalar regression. NeuroImage, 56(1):140-148, 2011.
  6. P.T. Reiss, L. Huang, and M. Mennes. Fast function-on-scalar regression with penalized basis expansions. International Journal of Biostatistics, 6(1), article-28, 2010.
© 2012 smart-stats.org