SPHIS Home » Directory » Dongfeng Wu, PhD
Dongfeng Wu, PhD
|Bioinformatics and Biostatistics|
B.S. in Probability and Statistics, Peking University, P.R. China. 1986-1990.
M.S. in Probability and Statistics, Peking University, P.R. China. 1990-1993.
M.S. in Computer Science, University of California, Santa Barbara. 1997-1999.
Ph.D. in Statistics, University of California, Santa Barbara. 1995-1999.
Positions and Employment:
01/2000-08/2001. Research Associate, Department of Biostatistics, University of Texas, M.D. Anderson Cancer Center. Houston, TX.
08/2001-08/2007. Assistant Professor, Department of Mathematics and Statistics, Mississippi State University. Tenured and promoted to associate professor in 05/2007.
09/2007-Present. Associate Professor, Dept. of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville. Tenured 2014.
Teaching at University of Louisville (2007-Present):
Fall: PHST683-Survival Analysis, PHST680-Biostatistical Method I (joint with Dr. Rai);
Spring: PHST724-Advanced Clinical Trials (joint with Dr. Rai),
PHST683-Survival Analysis; PHST662-Mathematical Statistics;
PHST671-Special Topics in Biostatistics and Decision Sciences: Probability modeling and statistical inference in cancer screening.
PHST661-Probability; PHST691-Bayesian Inference, PHST662-Mathematical Statistics; PHST671-Special Topics in Biostatistics and Decision Sciences: Probability modeling and statistical inference in cancer screening.
PHST661-Probability; PHST691-Bayesian Inference.
PHST662-Mathematical Statistics, PHST780-Nonparametric Statistics.
PHST661-Probability; PHST662-Mathematical Statistics.
PHST691-Bayesian Inference, PHST662-Mathematical Statistics.
PHST661-Probability; PHST 691-Bayesian Inference.
Students Mentored at University of Louisville (2007-Present):
Jiying Ling. Evaluating nutrition and physical activity trend in middle school students at four underserved regions in Kentucky. May 2013.
Sarah Kendrick. Simulation study for the lead time in cancer screening when human lifetime is a competing risk. May 2013.
Vikranth Shetty (with Dr. Shesh Rai as co-chair). Statistical methods to find miRNA related to aging in mice. August 2012.
Dianhong Luo. The trend and disparities in the diagnosis of breast cancer by mobile mammography at a comprehensive cancer center. August 2012.
Xinyuan Duan. Evaluating Fiberoptic Intubation Simulator Training in Reaching Proficiency of Skills. December 2010.
Chengxin Li. The statistical effects on measuring myocyte with different image zoom rates. August 2010.
Yinlu Chen. Breast Cancer Screening Model – Application to the Canadian Study. August 2009.
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 and all kinds of statistical problems in medical research.
Chen Y, Erwin D, and Wu D (2014). Over-diagnosis in lung cancer screening using the MSKC-
LCSP data. Journal of Biometrics and Biostatistics. 5:201. DOI: 10.4172/2155-6180.1000201.
Wu D, Kafadar K, and Rosner GL (2014). Inference of long term effects and over-diagnosis in periodic cancer screening. Statistica Sinica. 2014; 24: 815-831.
Jang, H, Kim S, and Wu D (2013). Bayesian lead time calculation for the Johns Hopkins lung project data. Journal of Epidemiology and Global Health. Vol. 3, 157-173.
Kim S, and Wu D (2012). Estimation of sensitivity depending on sojourn time and time spent in preclinical state. Statistical Methods in Medical Research. DOI: 10.1177/0962280212465499.
Kim S, Erwin D, and Wu D. (2012). Efficacy of dual lung cancer screening by chest x-ray and sputum cytology using Johns Hopkins lung project data.Journal of Biometrics and Biostatistics. 3:139. doi:10.4172/2155-6180.1000139
Wu D, Kafadar, K, Rosner GL, Broemeling LD. (2012). The lead time distribution when lifetime is subject to competing risks in cancer screening. The International Journal of Biostatistics.Volume 8: Issue 1, Article 6, ISSN: 1557-4679, DOI:10.1515/1557-4679.1363, April 2012.
Luo D, Cambon AC, Wu D.(2012). Evaluating long term effect of FOBT in colon cancer screening. Cancer Epidemiology. 36 (2012), e54-e60. DOI: 10.1016/j.canep.2011.09.011.
Wu D, Perez A. (2012). Chapter 24: Modeling and inference in screening: exemplification with the faecal occult blood test. Colorectal Cancer-From Prevention to Patient Care, Editor: Ettarh, R. (eds.) InTech Publisher. ISBN: 978-953-51-0028-7. February 2012.
Wu D, Erwin D, and Kim S. (2011). Projection of long-term outcomes using x-rays and pooled cytology in lung cancer screening. Open Access Medical Statistics. 2011: 1 13-19. DOI:10.2147/OAMS. S22987.
Wu D, and Perez A. (2011). A limited review of over-diagnosis methods and long term effects in breast cancer screening. Oncology Reviews (2011) 5:143-147.
Shows J. Wu D.(2011) Inferences for the lead time in breast cancer screening trials under a stable disease model. Cancers. 2011, 3(2), 2131-2140; DOI:10.3390/cancers3022131.
Wu, D., Erwin, D. and Rosner GL(2011). Sojourn time and lead time projection in lung cancer screening. Lung Cancer. 72 (2011) 322-326.
Wu, D. and Rosner GL. (2010).Chapter 10: Probability modeling and statistical inference in periodic cancer screening. Frontiers in Computational and System Biology, Editors:J.Feng et al (eds.) Computational Biology 15. Springer-Verlag London, 2010. ISBN: 978-1-84996-195-0. June 2010.
Chen Y, Brock G, and Wu, D (2010). Estimating key parameters in periodic breast cancer screening - application to the Canadian National Breast Screening Study data. Cancer Epidemiology. 34, 429-433. DOI:10.1016/j.canep.2010.04.001.
Wu, D., Erwin, D. and Rosner, G.L. (2009). A projection of benefits due to fecal occult blood test for colorectal cancer. Cancer Epidemiology.33, 212-215. DOI: 10.1016/j.canep.2009.08.001.
Wu, D., Erwin, D. and Rosner, G. L.(2009) Estimating key parameters in FOBT screening for colorectal cancer. Cancer Causes and Control (2009) 20: 41-46.
Wu, D., Carino R.L., and Wu, X.(2008). When sensitivity is a function of age and time spent in the preclinical state in periodic cancer screening. Journal of Modern Applied Statistical Methods. Vol. 7, No. 1, 297-303.
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.
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.
Other Experience and Professional Memberships:
1997- Member, American Statistical Association.
2000- Member, International Biometric Society.
2010- Member, International Chinese Statistical Association.
2001- Journal reviewer: Annals of Applied Statistics; Statistics in Medicine; Information Sciences; Quality of Life Research; Cancers; Statistical Methodology;Computational Statistics and Data Analysis; Diagnostics; Journal of Epidemiology and Global Health; Breast Cancer: Targets and Therapy; Statistics and Its Interface, etc.
2002- Book reviewer: Pearson/Prentice Hall; W.H. Freeman and Company.
2009- NIH scientific review ZRG1 PSE-C (58) R and ZRG1 PSE-J (58) R, mail reviewer. NIH Challenge Grants in Health and Science Research, RC1.
2010- Executive Editor, Journal of Biometrics and Biostatistics.
2010- Editorial board, Journal of Cancer Science and Therapy.
2011- Editor-in-Chief, Open Access Medical Statistics.
2013- Editorial board, Annals of Biometrics and Biostatistics.
2012 NIH scientific review panel: ZRG1 BDCN M-70/PCORI 11.
2013 NIH scientific review panel: ZRG1 PSE-D(90)A-AREA R15.
2014 NIH scientific review panel: ZRG1 PSEQ 80-AREA R15, ZRG1 PSE-R (80)-AREA R15.