Dongfeng Wu, PhD
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Bioinformatics and Biostatistics Role: Faculty |
Background
B.S., 1990, Probability and Statistics, Peking University, P.R. China.
M.S., 1993, Probability and Statistics, Peking University, P.R. China.
M.S., 1999, Computer Science, University of California, Santa Barbara.
Ph.D.,1999, Statistics, University of California, Santa Barbara.
I joined the Department of Bioinformatics and Biostatistics in September 2007 as an Associate Professor. Before that, I was an Assistant Professor at Mississippi State University (tenured and promoted to associate prof in Spring 2007).
Research Interests
My main research area is in probability modeling and statistical inferences in periodic cancer screening. Besides that, I am interested in Bayesian inference, statistical decision theory, time series, smoothing spline, wavelet regression, etc.
Current Projectsb. How to evaluate long-term benefit due to regular cancer screening?
Honors and Awards
Project Title: Statistical inference for lead time in cancer screening.
U.S. Provisional Patent: System and Method for Determining a Lead Time Probability Distribution for Use in Chronic Disease Screening Programs. Filed through MSU Office of Intellectual Property and Technology Licensing.
Academic Excellence Fund, College of Arts and Sciences, Mississippi State Univiersity. 2002, 2004, 2005, 2007.
Two times University of California Regents Fellowship, UCSB, 1995-96, 1997-98.
Wald Memorial Prize. (For best performance in PhD Qualifying Examinations), Dept. of Statistics and Applied Probability, UCSB, 1996.
GuangHua Fellowship for Outstanding Students, Peking University, Beijing, P. R. China, 1990.
Sports Fellowships (inter-collegiate swimming), Peking University, Beijing, P.R. China, 1986-1990.
Publications
Book Chapter
Wu D. and Rosner, GL. "Probability modeling and statistical inference in periodic cancer screening." in "Frontiers in Computational and System Biology." Springer. 2009.
Journal Articles
Wu D., Erwin D, and Rosner GL.(2009). A projection of benefits due to fecal occult blood test for colorectal cancer. Cancer Epidemiology. 33. 212-215.
Wu D., Erwin D, and Rosner GL.(2009). Estimating key parameters in FOBT screening for colorectal cancer. Cancer Causes and Control. 20: 41-46.
Wu, D., Rosner, G. L., and Broemeling, L. D.(2007). Bayesian inference for the lead time in periodic cancer screening. Biometrics. Vol. 63, No. 3, 873–880.
Zhang, Y. and Wu, D.(2006). Methodologies to Predict Service Lives of Pavement Marking Materials. Journal of the Transportation Research Forum. Vol. 45, 5-18.
Wu, J., Wu, D., Jenkins, J. N., and McCarty, J.C.(2006). A Recursive Approach to Detect Multivariable Conditional Variance Components And Conditional Random Effects. Computational Statistics and Data Analysis. 50, 285-300.
Wu, J., Jenkins, J. N., McCarty, J. C. and Wu, D.(2006).Variance Component Estimation Using the ADAA Model When Genotypes Vary Across Environments. Crop Science. Vol.46, 174-179.
Wu, D., Rosner, G. L., and Broemeling, L. D.(2005). MLE and Bayesian inference of age-dependent sensitivity and transition probability in periodic screening. Biometrics. Vol.61, No.4, 1056-1063.
Wu, D., Wu, X., Banicescu, I. and Carino, R. (2005). Simulation Procedure in Periodic Cancer Screening Trials. Journal of Modern Applied Statistical Methods. Vol.4, No.2, 522-527.
Broemeling, L. D. and Wu, D.(2005). Power functions for Bayesian tests with application to the design of clinical trials: the fixed-sample case. Journal of Modern Applied Statistical Methods. Vol. 4, No. 1, 163-171.
Wu, D.(2004). A Visually Adaptive Bayesian Model in Wavelet Regression. Journal of Modern Applied Statistical Methods. Vol. 3, No. 1, 200-212.
Wu, D.(2002). NORM thresholding method in wavelet regression. Journal of Statistical Computation and Simulation. Vol. 72, 233-246.
Shen, Y., Wu, D., and Zelen, M.(2001). Testing the independence of two diagnostic tests, Biometrics. Vol. 57, 1009-1017.
