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Ding J, Lin S.  Submitted.  XMCPDT does have correct type I error rates. American Journal of Human Genetics.
Ding J, Lin S.  2008.  XMCPDT does have correct type I error rates. American Journal of Human Genetics. 82:528-530.
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Wang D, Lin S, Cheng R, Gao X, Wright F.  2001.  Transformation of sib pair values for the Haseman-Elston method. American Journal of Human Genetics. 68:1238-1249.
Liu Y, Hsu JC.  2009.  Testing for efficacy in primary and secondary endpoints by partitioning decision paths. Journal of the American Statistical Association. 104:1661-1670.
Liu Y, Hsu JC.  2009.  Testing for efficacy in primary and secondary endpoints by partitioning decision paths. Journal of American Statistical Association . 104:1661-1670.
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Lee Y.  2010.  Support Vector Machines for Classification: A Statistical Portrait. Statistical Methods in Molecular Biology. :347–368.
Lawson AB, Cressie N.  2000.  Spatial statistical methods for environmental epidemiology. Handbook of Statistics, Volume 18: Bioenvironmental and Public Health Statistics. :357-396.
Liu Z, Lin S, Tan M.  2010.  Sparse Support Vector Machines with Lp Penalty for Improved Biomarket Identification. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7:100-107.
Williams BJ, Santner TJ, Notz WI, Lehman JS.  2010.  Sequential Design of Computer Experiments for Constrained Optimization. Statistical Modelling and Regression Structures: Festschrift in Honour of Ludwig Fahrmeir.
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Khalili A, Huang T, Lin S.  2009.  A Robust Unified Approach to Analyzing methy-lation and Gene Expression Data. Computational Statistics and Data Analysis. 53:1701-1710.
Liu Y, Verducci J.  2009.  Review of Statistical Analyses in Drug Discovery and Chemogenomics. Statistical Analysis and Data Mining. 2(2):88-103.
Lee Y, MacEachern SN, Jung Y.  2007.  Regularization of Case-Specific Parameters for Robustness and Efficiency. Technical Report No. 799, Department of Statistics, The Ohio State University.