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Jason C. Hsu
Publications
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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
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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.
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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
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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
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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.
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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
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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
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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.