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Dr. Fei Jiang

I am an Assistant Professor in the Department of Epidemiology & Biostatistics at UC San Francisco. I completed my Ph.D. in biostatistics at Rice University in 2013. Before joining UC San Francisco, I was an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Hong Kong.

My main methodological interest lies in high dimensional data, functional data and convex optimization with their applications in signal processing, EHR, and mobile device data analysis. I am also working with collaborators on the neural mechanisms of speech in the human brain.

 

Selected  Articles

 
 
 
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Medical device signal processing

Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors 

Neural Information Processing Systems (NeuIPS), 2018

 
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Genetics eQTL data analysis 

Sufficient direction factor model and its application to gene expression quantitative trait loci discovery 

Biometrika, 2019

 
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Mobile device blood pressure measurement

Functional Censored Quantile Regression with Application to the BOSS data Analysis

Journal of American Statistical Association, to appear

 
 
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Pollution and Cardiovascular disease onsets

A Functional Single Index Model

Statistica Sinica, 2018

 
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Post-trial treatment effect estimation: covariate imbalances

Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study

Journal of the American Statistical Association, 2019

 
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Adaptive Clinical trial designs 

A Bayesian decision‐theoretic sequential response‐adaptive randomization design

Statistics in medicine, 2013