Publications since 2006

• Yang Han, Yujia Sun, Jason C. Hsu, Thomas House, Nick Gent, and Ian Hall (2021). Statistical design and analysis of PCR tests for fast mutating viruses , medRxiv.
• Liu, Yi, Szu-Yu Tang, and Jason C. Hsu (2021). Multiple Testing. Chapter in Handbook of Statistical Methods for Randomized Controlled Trials, Chapman and Hall.
• Finner, Helmut, Szu-Yu Tang, Xinping Cui, and Jason C. Hsu (2021). Pre-print of Partitioning for Confidence Sets, Confident Directions, and Decision Paths. Chapter in Handbook of Multiple Comparisons, Xinping Cui, Thorsten Dickhause, Ying Ding, and Jason C. Hsu editors, Chapman and Hall.
• Liu, Yi, Hong Tian, and Jason C. Hsu (2021). Pre-print of Subgroups Analysis for Personalized and Precision Medicine Development. Chapter in Handbook of Multiple Comparisons, Xinping Cui, Thorsten Dickhause, Ying Ding, and Jason C. Hsu editors, Chapman and Hall.
• Liu, Yi, Bushi Wang, Hong Tian, and Jason C. Hsu (2021). Rejoinder for discussions on correct and logical causal inference for binary and time-to-event outcomes in randomized controlled trials. Biometrical Journal; 1 - 10. https://doi.org/10.1002/bimj.202100089.
• Liu, Yi, Bushi Wang, Miao Yang, Jianan Hui, Heng Xu, Siyoen Kil, and Jason C. Hsu (2021). Correct and logical causal inference for binary and time-to-event outcomes in randomized controlled trials. Biometrical Journal; 1 - 27. https://doi.org/10.1002/bimj.202000202.
• Yang Han, Szu-Yu Tang, Hui-Min Lin, and Jason C. Hsu (2021). Exact simultaneous confidence intervals for logical selection of a biomarker cut-point. Biometrical Journal; 1 - 18. https://doi.org/10.1002/bimj.202000159. Example showing controlling FWER testing equalities does not control the directional error rate.
• Kil, Siyoen, Eloise Kaizar, Sze-Yu Tang, and Jason C. Hsu (2020). Confident Statistical Inference with Multiple Outcomes, Subgroups, and Other Issues of Multiplicity. Chapter in Principles and Practice of Clinical Trials, Steven Piantadosi and Curtis Meinert editors, Springer International Publishing.
• Lin, Hui-Min, Haiyan Xu, Ying Ding, and Jason C. Hsu (2019). Correct and Logical Inference on Efficacy in Subgroups and Their Mixture for Binary Outcomes. Biometrical Journal, 61, 8-26.
• Ding, Ying, Y. Grace Li, Yi Liu, Stephen J. Ruberg, and Jason C. Hsu (2018). Confident inference for SNP effects on treatment efficacy. Annals of Applied Statistics, 12(3): 1727-1748.
• Ding, Ying, Hui-Min Lin, and Jason C. Hsu (2016). Subgroup mixable inference on treatment efficacy in mixture populations, with an application to time-to-event outcomes. Statistics in Medicine, 35, 1580-1594.
• Liu, Y., Tang, S-Y, Man, M., Li, Y.G., Ruberg, S.J., Kaizar, E., and Hsu, J.C. (2013). Thresholding of a companion diagnostic test confident of efficacy in targeted population. Statistics in Biopharmaceutical Research , 8(3), 325-333.
• Peruggia, Mario, Jason Hsu, and Yifan Huang (2013). Cartesian displays of many interval estimates. Electronic Journal of Statistics, 7, 91-104.
• Tu, Yi-Hsuan and Jason C. Hsu (2012). Multiple comparisons of drug efficacy between subgroups defined by genetic polymorphisms. Statistics in Medicine, published online: 25 June 2012 DOI:10.1002/sim.5421.
• Kaizar, Eloise E., Li, Yan, and Hsu, Jason C. (2011). Permutation tests of binary features do not uniformly control multiple testing error rates. Journal of the American Statistical Association, 106, 1067-1074.
• Hsu, Jason C. (2010). Multiplicity adjustments big and small in clinical studies. Nature: Clinical Pharmacology and Therapeutics, 88: 251-254.
• Calian, Violeta and Jason C. Hsu (2010). Response to Letter to the Editor by Philip Good on To Permute or Not to Permute. Bioinformatics, 26: 2215-2215.
• Liu, Yi and Hsu, Jason C. (2009). Testing for efficacy in primary and secondary endpoints by partitioning decision paths. Journal of the American Statistical Association, 104: 1661-1670.
• Hsu, Jason C., Jane Chang, Tao Wang, Magnus Karl Magnusson, Kristin Bergsteinsdottir, Eirikur Steingrimsson (2009). Design and Analysis of Microarray Experiments for Pharmacogenomics. Chapter 7, Multiple Testing Problems in Pharmaceutical Statistics, Alex Dmitrienko, Ajit C. Tamhane, Frank Bretz editors. Taylor and Francis.
• 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.