Publications since 2006:

• Hsu, Jason C. and Liu, Yi (2009). Discussion of "Some controversial multiple testing problems in regulatory applications". Journal of Biopharmaceutical Statistics, 19: 22-24.
• Calian, Violeta, Li, Dongmei, and Hsu, Jason (2008). Partitioning to uncover conditions for permutation to control multiple testing error rate. Biometrical Journal 50, 756-766 DOI: 10.1002/bimj.200710471.
• Frank Bretz, Jason Hsu, Jose Pinheiro, and Yi Liu (2008). Dose finding - A challenge in statistics. Biometrical Journal: 50, 480-504 DOI: 10.1002/bimj.200810438.
• Rao, Youlan; Lee, Yoonkyung; Jarjoura, David; Ruppert, Amy S.; Liu, Chang-gong; Hsu, Jason C.; and Hagan, John P. (2008). A comparison of normalization techniques for microRNA microarray data. Statistical Applications in Genetics and Molecular Biology: Vol. 7 : Iss. 1, Article 22.
• Chen, Feng, Chen, Qiguang, Yu, Hao, Chen, Jie, Hsu, Jason (2008). Current statistical requirements for pharmaceutical clinical trials In China. Drug Information Journal 42, pp. 321330.
• Huang, Yifan, and Jason C. Hsu (2007). Hochberg's step-up method: cutting corners off Holm's step-down method. Preprint of an article in Biometrika 94, doi: 10.1093/biomet/asm067.
• Liu, Yi, Jason C. Hsu, and Stephen Ruberg (2007). Partition testing in dose-response studies with multiple endpoints. This is a preprint of an article with the same title published in Pharmaceutical Statistics 6: 181-192 DOI: 10.1002/pst.295.
• Hsu, Jason C. (2007). Designing Microarrays and Microarray Experiments, Statistically, Under Northern Lights.
• Xu, Haiyan, and Jason C. Hsu (2007). Using the Partitioning Principle to control the generalized Family Error Rate. Biometrical Journal 49, 52-67. DOI: 10.1002/bimj.200610307
• Dmitrienko, A., Fritsch, K., Hsu, J., Ruberg, S. (2007). Design and Analysis of Dose-Ranging Clinical Studies. Chapter 11 of Pharmaceutical Statistics Using SAS. SAS Press: Cary, NC.

• Hsu, Jason C. , Chang, Jane, Wang, Tao, Steingrimsson, Eirikur, Magnusson, Magnus Karl, Bergsteinsdottir, Kristin (2007). Statistically designing microarrays and microarray experiments to enhance sensitivity and specificity. This is a preprint of an article with the same title published in Briefings in Bioinformatics 8(1):22-31. PMID: 16899493
• Ling, Xiang and Hsu, Jason C. (2006). Using the partitioning principle to adaptively design dose-response studies. Journal of Biopharmaceutical Statistics 16: 733-743
• Huang, Yifan, and Haiyan Xu, and Violeta Calian, and Jason C. Hsu (2006). To permute or not to permute. Bioinformatics 22, 2244-2248. PMID: 16870938
• Ling, X., Hsu, J. and Ting, N. (2006). Partitioning tests in dose response studies with binary outcomes. Chapter 12 in Dose Finding in Drug Development. Ed.: Ting, N., Springer-Verlag, pp. 184-199.
• Hsu, Jason C., Jane Y. Chang, and Tao Wang (2006). Simultaneous confidence intervals for differential gene expressions. Journal of Statistical Planning and Inference. 136, 2182-2196
• Yifan Huang, Jason C. Hsu, Mario Peruggia, and Abigail A. Scott (2006). Statistical selection of maintenance genes for normalization of gene expressions. Statistical Applications in Genetics and Molecular Biology: 5: No. 1, Article 4. PMID: 16646868
• Hsu, Jason C., Jane Y. Chang, and Tao Wang (2006). Multiple comparisons in screening for differential expressions from microarray data. Chapter 6 in Screening: Methods for Experimentation in Industry, Drug Discovery and Genetics, Angela Dean and Sue Lewis editors, Springer-Verlag, pp. 139-155.