Dr. Fei Jiang
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Assistant Professor (2016 - present)         Department of Statistics & Actuarial Science, University of Hong Kong

​Postdoctoral Fellow (2013 - 2016)            Department of Biostatistics, Harvard University

​Ph.D. in Statistics (2010 - 2013)              Department of Statistics, Rice University


​M.S. in Biostatistics (2007 - 2010)           The University of Texas Health Science Center at Houston

​News​

Jiang, F., Yin, G. (2018). Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors, Neural Information Processing Systems (NIPS).
Jiang, F., Tian, L., Fu, H., Hasegawa, T. & Wei, L.J. Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study, to appear, Journal of the American Statistical Association.
Jiang, F., Chen, Q., Yin, G., & Sheng, H. Functional Censored Quantile Regression with Application to the BOSS data Analysis, major revision, Journal of American Statistical Association​.
Jiang, F., Ma, Y., & Wei, Y. Sufficient Direction Factor Model and its Application for eQTL Discovery, major revision, Biometrika.
Tian, L., Jiang, F., Hasegawa, T., Uno, H., & Wei, L.J. Moving Beyond the Conventional Stratified Analysis to Estimate an Overall Treatment Efficacy with the Data from a Comparative Randomized Clinical Study, major revision, Statistics in Medicine.
Jiang, F.,  Ma, Y. A Spline-assisted Semiparametric Approach to Nonparametric Measurement Error Models, submitted to Journal of American Statistical Association.

Jiang, F.,  Yin, G. (2018). Bayesian Outdoor Defect Detection, submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence.
Jiang, F., Jie Xu, Hui Zhi, Yongjun Wang & Haipeng Shen. Unfolding the Stroke - Ambulatory Blood Pressure Association: A Functional Framework, submitted to  Journal of the American Statistical Association.

​Publications​

​​Statistical Methodology and Application

​Jiang, F., Baek, S. Cao, J. & Ma, Y. (2018). A Functional Single Index Model. Statistica Sinica, in press. 
​Ma, Y., Jiang, F. (co-first), & Henmi, M. (2018). Understanding and Utilizing the Linearity Condition in Dimension Reduction. Statistica Sinica, in press.
Jiang, F., & Haneuse, S. (2017). A Semi‐parametric Transformation Frailty Model for Semi‐competing Risks Survival Data. Scandinavian Journal of Statistics, 44(1), 112-129.
Jiang, F., Ma, Y., & Yin, G. (2017). Kernel-Based Adaptive Randomization Toward Balance in Continuous and Discrete Covariates. Statistica Sinica.
Jiang, F., Ma Y., & Jack Lee, J. (2016). A Semiparametric Method for Survival Analysis, with Application to an AIDS Clinical Trial Study. Journal of the Royal Statistical Society: Series C, 66(4), 833-846.
Jiang, F., Ma, Y., & Wang, Y. (2015). Fused kernel-spline smoothing for repeatedly measured outcomes in a generalized partially linear model with functional single index. Annals of statistics, 43(5), 1929.
Jiang, F., Jack Lee, J., & Müller, P. (2013). A Bayesian decision‐theoretic sequential response‐adaptive randomization design. Statistics in medicine, 32(12), 1975-1994.

Medical

Zack, M., Jiang, F., & Wei, L.J. (2018). Interpreting the Treatment Effect of Trastuzumab for a Duration of 9-weeks vs 1-Year for HER2Positive Breast Cancer, Journal of the American Medical Association, Letter.
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology, 2(4), 230-243.
STK11/LKB1 Mutations and PD-1 Inhibitor Resistance in KRAS-Mutant Lung Adenocarcinoma. (2018). Cancer discovery, with Skoulidis, F., Goldberg, M.E., et al.
Sinew acupuncture for knee osteoarthritis: study protocol for a randomized sham-controlled trial. (2018). BMC complementary and alternative, with Au, K.Y., Chen, H., et al.

Conference & Computing

Jiang, F., Ma, Y., & Zhu, L. (2018). Semi-supervised Sufficient Dimension Reduction Learning with Application under Deep Learning Framework, under preparation

​Fundings & Projects

General Research Fund, Principle Investigator                                                                                                                  2017-2018
Censored quantile regression, measurement error model, Bayesian change points detection and the applications in the health care
General Research Fund, Principle Investigator                                                                                                               2018-2019
Outcome guided functional blood pressure curves clustering, multi-scale Bayesian change point detection, functional quantile regression with missing measurement for analysis BOSS data
Health and Medical Research Fund, Co-principle Investigator                                                                                        2017-2018

A randomized, sham-controlled trial of nurse-led acupressure for symptom management among postoperative patients following open hysterectomy 

© 2018 Fei Jiang. All rights reserved.
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