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  • Lo, S. H., and Zhou, W (2018) Analysis of genotype by methylation interactions through sparsity-inducing regularized regression, BMC Proceedings, 12(S9) · September 2018. Link here.
  • Lo, S. H., Zheng T, Auerbach J, and Hsu L (2018) Coping with family structure in genome-wide association studies: a comparative evaluation, BMC proceedings 12(S9) · September 2018. Link here.
  • Chernoff, H., Lo, S.-H., Zheng, T. and Lo, A (2017) Estimating the theoretical error rate for prediction, Working Paper, September 2017. Link here. 
  • Lo, A., Chernoff, H., Zheng, T., and Lo, S.-H. (2016) Framework for making better predictions bydirectly estimating variables’ predictivity. Proceedings of the National Academy of Sciences 113(50) 14277 14277-14282. Link here.
  • Lo, A., Agne, M., Auerbach, J., Fan, R., Lo, S.-H., Wang, P. and Zheng, T.5 (2016) Network-guided interaction mining for the blood pressure phenotype. BMC proceedings for GAW19. BMC Proceeding 10 (7), 333 333. Link here.
  • Auerbach, J., Agne, M., Fan, R., Lo, A., Lo, S.-H., Zheng, T. and Wang, P. (2016) Identification regions of disease related variants in admixed populations with summation partition approach. BMC Proceedings for GAW 19. BMC proceedings 10 (7), 131 131. Link here.
  • Lo Adeline, Chernoff H., Zheng T., Lo S.-H (2015) Why Aren’t Significant Variants Automatically Good Predictors. PNAS 2015 112 (45) 13892-13897; published ahead of print October 26, 2015, doi:10.1073/pnas.1518285112. Link here.
  • MH Wang, K Tsoi, X Lai, M Chong, B Zee, T Zheng, SH Lo, I Hu (2015) Two Screening Methods for Genetic Association Study with Application to Psoriasis Microarray Data Sets.
    Big Data (BigData Congress), 2015 IEEE International Congress on, 324-32. Link here.
  • Michael Agne ,Chien-Hsun Huang, Inchi Hu, Haitian Wang, Tian Zheng, Shaw-Hwa Lo (2014) Considering Interactive Effects in the Identification of Influential Regions with Extremely Rare Variants via Fixed Bin Approach. BMC Proceedings for GAW 18;8:S7. Link here.
  • Maggie Haitian Wang, Chien-Hsun Huang, Tian Zheng, Shaw-Hwa Lo, Inchi Hu (2014) Discovering pure gene–environment interactions in blood pressure GWAS data: a two-step approach incorporating a new statistics. BMC Proceedings for GAW18; 8:S62. Link here.
  • Fan R., Huang C. H., Hu I., Wang H., Zheng T., Lo S.-H. (2014) A partition-based approach to identify gene-environmental interactions in Genome-Wide Association Studies. BMC Proceedings for Genetic Analysis Workshop 18; 8: S60. Link here.
  • Liu Y., Huang C. H., Hu I., Lo S.-H., and Zheng, T (2014) A dual clustering framework for association screening with whole genome sequencing data and functional traits. BMC Proceedings for Genetic Analysis Workshop 18;8:S47. Link here.
  • Fan R., Lo S.-H (2013, December) A Robust Model-free Approach for Rare Variants Association Studies Incorporating Gene-Gene and Gene-Environmental Interactions. Plos One 10.1371/0083057. Link here.
  • Wang, H. Lo, S.-H., Zheng, T. and Hu, I. (2012) Interaction-based feature selection and classification for high-dimensional biological data. Bioinformatics 28(21)2834-2842. Link here.
  • Hwang,J-S.,Hu,T-H., Lo, Shaw-Hwa . Evaluation and application of a backward screening algorithm for the identification of a large number of quantitative trait loci. Submitted. Link here.
  • Haitian Wang, Shaw-Hwa Lo, Tian Zheng, Inchi Hu (2011) A Classification Method Incorporating Interactions among Variables for High-dimensional Data. Submitted to JASA. Link here.
  • Wang, H., Huang, C.-H., Lo, S.-H., Zheng, T., and Hu, I. (2011) New insights on old methods in identifying causal rare variants. BMC Proceedings for the Genetic Analysis Workshop 17 (Boston ,MA) 5 (s9): s50. Link here.
  • Agne, M., Huang, C.-H., Hu, I., Wang, H., Zheng, T., and Lo, S.-H. (2011) GAW17-Identifying Influential Regions in Extremely Rare Variants via Fixed Bin Approach. BMC Proceedings for the Genetic Analysis Workshop 17 (Boston ,MA) 5 (s9): s3. Link here.
  • Huang, C.-H., Agne, M., Hu, I., Ionita-Laza, I., Zheng, T., and Lo, S.-H. (2011) GAW 17-Identifying Influential Variables on Unrelated Individual Data. GAW17 (Boston, MA). Link here.
  • Zheng T, Chernoff H, Hu I, Ionita-Laza I, Lo SH (2010), Handbook of Computational Statistics: Statistical Bioinformatics, eds Lu HHS, Scholkopf B, Zhao H (Springer, New York). Link here.
  • Chernoff H, Lo SH, Zheng T (2009) Discovering influential variables: A method of partitions. Ann Appl Stat 3(4):1335–1369. Link here.
  • Chernoff, H., Lo, S.-H. and Zheng, T. (2009), Supplement to “Discovering influential variables: A method of partitions.” DOI: 10.1214/09-AOAS265SUPP. Link here.
  • Lo, S. H., Chernoff, H., Cong, L., Ding, Y. and Zheng, T. (2008), Discovering interactions among BRCA1 and other candidate genes associated with sporadic breast cancer. Proc. Natl. Acad. Sci. USA 105 12387–12392. Link here.
  • Lo, S. H., and Zheng, T. (2008), Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies, Statistical Science 23(3):318-320 · August 2008. Link here.
  • Zheng, T., Wang, H. and Lo, S. H. (2006), Backward genotype-trait association (BGTA)-based dissection of complex traits in case-control designs. Hum. Hered. 62, 196–212. Link here.
  • Lo, S. H. and Zheng, T. (2004), A demonstration and findings of a statistical approach through reanalysis of inflammatory bowel disease data. Proc. Natl. Acad. Sci. USA 101, 10386–10391. Link here.
  • Lo, S. H., Liu, X., and Shao, Y (2003), A Marginal Likelihood Model for Family-Based Data, Annals of Human Genetics 67(Pt 4):357-66 · July 2003. Link here.
  • Lo, S. H. and Zheng, T. (2002), Backward haplotype transmission association (BHTA) algorithm—a fast multiple-marker screening method. Hum. Hered. 53 197–215. Link here.
  • Lo, S. H., and Chen Kani (1997), On the rate of uniform convergence of the product-limit estimator: Strong and weak laws, The Annals of Statistics 25(3) · June 1997. Link here.
  • Lo, S. H., and Chen Kani (1996), On bootstrap accuracy with censored data, The Annals of Statistics 24(2) · April 1996. Link here.
  • Lo, S. H., and Chen Kani (1995), On Strong Uniform Consistency of the Lynden-Bell Estimator for Truncated Data, The Annals of Statistics 23(2) · April 1995. Link here.