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Fei Jiang, PhD, MS

Title(s)Assistant Professor, Epidemiology & Biostatistics
SchoolSchool of Medicine
Address550 16th. Street
San Francisco CA 94158
Phone--
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    Collapse Biography 
    Collapse Education and Training
    Harvard University, BostonPostdoctoral Fellow06/2016Biostatistics
    Rice University, HoustonPh.D.01/2014Statistics
    The University of Texas at Houston, HoustonM.S.07/2010Biostatistics
    Collapse Awards and Honors
    Stroke and Vascular Neurology Journal2018  - 2018Stroke and Vascular Neurology High Impact Paper Award
    ENAR2013  - 2013ENAR Distinguished Student Paper Award
    Rice University2010  - 2012Rice Graduate Student Fellowship

    Collapse Overview 
    Collapse Overview
    Dr. Jiang is an assistant professor in biostatistics in the University of California, San Francisco. She has been an assistant professor in statistics for three years in the University of Hong Kong. Her research interest lies in machine learning methods, high dimensional models, functional data analysis and their applications in analyzing neurological, image, genetics data, and in designing adaptive randomization clinical trials. Her efforts yield high quality statistical and computational publications, which focus on addressing practical problems in the medical domain. In addition, she has taught both undergraduate and graduate courses on the foundations of statistics and their applications in medical diagnosis, medical decision making, classification, prognostic prediction, and clinical trials. Furthermore, she has involved in establishing Master of Data Science and Artificial Intelligence program in the University of Hong Kong. As a researcher with solid statistical background, she is able to provide rigorous data driven tools to analyze wide range of biomedical data.

    Collapse Research 
    Collapse Research Activities and Funding
    The effect of acupuncture for insomnia in breast cancer patients undergoing chemotherapy: a randomized, sham-controlled trial
    Research Grants Council of Hong Kong HMRF16172761May 1, 2019 - Apr 30, 2022
    Role: Co-I
    The response-aided clustering, multi-scale Bayesian change point detection, and error contaminated functional quantile regression with the applications to the BOSS (blood pressure and clinical outcome in TIA or ischemic stroke) data.
    Research Grants Council of Hong Kong GRF17307218Jul 15, 2018 - Jul 14, 2021
    Role: PI
    Investigations on the censored quantile regression with time dependent covariates, B-spline measurement error estimation, and reflected non-local priors. Role: Principal Investigator
    Research Grants Council of Hong Kong ECS27304117Sep 1, 2017 - Aug 31, 2020
    Role: PI
    Combined Electroacupuncture and Auricular Acupuncture for Postoperative Pain after Abdominal Surgery for Gynecological Diseases: A Randomized Sham-controlled Trial
    Research Grants Council of Hong Kong HMRF13142951Jul 1, 2016 - Jun 30, 2019
    Role: Co-I

    Collapse ORNG Applications 
    Collapse Featured Publications
    Collapse Websites

    Collapse Bibliographic 
    Collapse Publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help. to make corrections and additions.
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    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Understanding and Utilizing the Linearity Condition in Dimension Reduction. Statistica Sinica. 2019; In press. Ma, Y. and Jiang, F.
    2. A Functional Single Index Model. Statistica Sinica. 2019; In press. Jiang, F., Baek, S., Cao, J., Ma, Y.
    3. Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study. Journal of the American Statistical Association. 2019; 0(0). Jiang, F., Tian, L, Fu, H., Hasegawa, T, and Wei, L. J.View Publication.
    4. Sufficient Direction Factor Model and its Application for eQTL Discovery. Biometrika. 2019; 2(106):417–432. Jiang, F., Ma, Y., and Wei, Y.View Publication.
    5. Functional Censored Quantile Regression with Application to the BOSS data Analysis. Journal of American Statistical Association. 2019; 0(0):1-24. Jiang, F., Chen, Q., Yin, G., Shen, H.View Publication.
    6. Bayesian Multiple Change Point Detection with Non- local Priors. Neural Information Processing Systems. Long version in Transactions on Knowledge Discovery from Data. 2018. Jiang, F., Yin, G., and Dominici, F.
    7. Moving Beyond the Conventional Stratified Analysis to Estimate an Overall Treatment Efficacy with the Data from a Comparative Randomized Clinical Study. Statistics in Medicine. 2018; 6(38):917-932. Tian, L., Jiang, F., Hasegawa, T., Uno, H., and Wei, L. J.View Publication.
    8. Kernel-Based Adaptive Randomization Toward Balance in Continuous and Discrete Covariates. Statistica Sinica. 2018; (28 ):2841-2856. Jiang, F., Ma, Y., and Yin, G.View Publication.
    9. STK11/LKB1 Mutations and PD-1 Inhibitor Resistance in KRAS-Mutant Lung Adenocarcinoma. Cancer Discov. 2018 07; 8(7):822-835. Skoulidis F, Goldberg ME, Greenawalt DM, Hellmann MD, Awad MM, Gainor JF, Schrock AB, Hartmaier RJ, Trabucco SE, Gay L, Ali SM, Elvin JA, Singal G, Ross JS, Fabrizio D, Szabo PM, Chang H, Sasson A, Srinivasan S, Kirov S, Szustakowski J, Vitazka P, Edwards R, Bufill JA, Sharma N, Ou SI, Peled N, Spigel DR, Rizvi H, Aguilar EJ, Carter BW, Erasmus J, Halpenny DF, Plodkowski AJ, Long NM, Nishino M, Denning WL, Galan-Cobo A, Hamdi H, Hirz T, Tong P, Wang J, Rodriguez-Canales J, Villalobos PA, Parra ER, Kalhor N, Sholl LM, Sauter JL, Jungbluth AA, Mino-Kenudson M, Azimi R, Elamin YY, Zhang J, Leonardi GC, Jiang F, Wong KK, Lee JJ, Papadimitrakopoulou VA, Wistuba II, Miller VA, Frampton GM, Wolchok JD, Shaw AT, Jänne PA, Stephens PJ, Rudin CM, Geese WJ, Albacker LA, Heymach JV. PMID: 29773717.
      View in: PubMed   Mentions: 77     Fields:    Translation:HumansAnimalsCTClinical Trials
    10. Sinew acupuncture for knee osteoarthritis: study protocol for a randomized sham-controlled trial. BMC Complement Altern Med. 2018 Apr 23; 18(1):133. Au KY, Chen H, Lam WC, Chong CO, Lau A, Vardhanabhuti V, Mak KC, Jiang F, Lam WY, Wu FM, Chan HN, Ng YW, Ng BF, Ziea ET, Lao L. PMID: 29685141.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    11. 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. 2018. Zack, M. Jiang, F., and Wei, L. J.
    12. Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology. 2017; 4(2):230-243.. Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y.View Publication.
    13. A Semi-parametric Transformation Frailty Model for Semi-competing Risks Survival Data. Scandinavian Journal of Statistics. 2017; 1(44):112-129. Jiang, F. and Haneuse, S.View Publication.
    14. A Semiparametric Method for Survival Analysis, with Application to an AIDS Clinical Trial Study. Journal of the Royal Statistical Society: Series C. 2016; 4(66):833-846. Jiang, F., Ma, Y., and Lee, J.View Publication.
    15. Fused Kernel-Spline Smoothing for Repeatedly Measured Outcomes in a Generalized Partially Linear Model with Functional Single Index. Annals of Statistics. 2015; 5(43):1929-1958. Jiang, F., Ma, Y., and Wang, Y.View Publication.
    16. A Bayesian Decision-theoretic Sequential-Response Adaptive Randomization Design. Statistics in Medicine. 2013; 12(32):1975-1994. Jiang, F., Lee, J., and Mueller, P.View Publication.
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