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 Biostat., Univ. of Texas, M.D. Anderson Cancer Center. Houston, TX.
08/2001-08/2007. Assistant Professor, Department of Math. & Stat., Mississippi State Univ.
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, Univ. of Louisville. Tenured 2014.
Other Experience and Professional Memberships:
2010- Editor-in-Chief, Journal of Biometrics and Biostatistics.
2011- Editor-in-Chief, Open Access Medical Statistics.
2012- NIH AREA R15 scientific review panel.
2012- Patient-Centered Outcome Research Institute (PCORI), scientific review panel: Pure Analytics.
Memberships: American Statistical Association; International Biometric Society; ENAR; International Chinese Statistical Association.
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.
Kim S, Jang H, Wu D, Abrams J. (2015) A Bayesian nonlinear mixed-effects disease progression model. Journal of Biometrics and Biostatistics. 6:271. doi:10.4172/2155-6180.1000271.
Kendrick SK, Rai SN and Wu D. (2015). Simulation study for the sensitivity and mean sojourn time specific lead time in cancer screening when human lifetime is a competing risk. Journal of Biometrics and Biostatistics. 6:247. DOI:10.4172/2155-6180.1000247.
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.
Chen Y, Erwin D, and Wu D. (2014). Over-diagnosis in lung cancer screening using the MSKC-LCSPdata. Journal of Biometrics and Biostatistics. 5:201. DOI: 10.4172/2155-6180.1000201.
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 and 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 and 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 GL. (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 GL. (2009) Estimating key parameters in FOBT screening for colorectal cancer. Cancer Causes and Control (2009) 20: 41-46.
Wu D, Carino RL, 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 GL, and Broemeling LD. (2007). Bayesian inference for the lead time in periodic cancer screening. Biometrics. Vol. 63, No. 3, 873–880.
Wu D, Rosner GL, and Broemeling LD. (2005). MLE and Bayesian inference of age-dependent sensitivity and transition probability in periodic screening. Biometrics. Vol.61, No.4, 1056-1063.
Shen, Y., Wu, D., and Zelen, M.(2001). Testing the independence of two diagnostic tests. Biometrics. Vol. 57, 1009-1017.
Teaching at University of Louisville (2007-Present):
2016-17: Fall: PHST682-Multivariate Statistical Analysis; PHST 683-Survival Analysis. Spring: PHST724-Advanced Clinical Trials (joint w/ Dr. Rai); PHST691-Bayesian Inference.
2015-16: Fall: PHST683-Survival Analysis; PHST680-Biostat. Method I (joint w/ Dr. Rai); Spring: PHST662-Math. Stat; Summer: PHST671-Special Topics in Biostat: Probability Model and Stat. Inference in Cancer Screening.
2014-15: Fall: PHST683-Survival Analysis; PHST680-Biostat. Method I (joint w/ Dr. Rai); Spring: PHST724-Advanced Clinical Trials (joint w/ Dr. Rai); PHST662-Math. Stat.
2013-14: Fall: PHST683-Survival Analysis; Spring: PHST662-Math. Stat.; Summer: PHST671-Special Topics in Biostat: Probability Model and Stat. Inference in Cancer Screening.
2012-13: Fall: PHST661-Probability; Spring: PHST691-Bayesian Inference; PHST662-Math. Stat.; Summer: PHST671-Special Topics in Biostat: Probability Model and Stat. Inference in Cancer Screening.
2011-12: PHST661-Probability; PHST691-Bayesian Inference.
2010-11: PHST661-Probability; PHST662-Math. Stat; PHST780-Nonparametric Stat.
2009-10: PHST661-Probability; PHST662-Math. Stat.
2008-09: PHST661-Probability; PHST691-Bayesian Inference; PHST662-Math. Stat.
2007-08: PHST661-Probability; PHST 691-Bayesian Inference.
Ph.D./MS Students at University of Louisville (2007-Present):
Ruiqi Liu, Ph.D. candidacy. Cancer screening modeling and methods. Expected 2017.
Dengzhi Wang, MS. Estimate the three key parameters in the PLCO data. Expected Dec. 2016.
Jiying Ling, MS. Evaluating nutrition and physical activity trend in middle school students at four underserved regions in Kentucky. May 2013.
Sarah K Kendrick, MS. Simulation study for the lead time in cancer screening when human lifetime is a competing risk. May 2013.
Vikranth Shetty, MS. (w/ Dr. Rai). Statistical methods to find miRNA related to aging in mice. August 2012.
Dianhong Luo, MS. The trend and disparities in the diagnosis of breast cancer by mobile mammography at a comprehensive cancer center. August 2012.
Xinyuan Duan, MS. Evaluating Fiberoptic Intubation Simulator Training in Reaching Proficiency of Skills. December 2010.
Chengxin Li, MS. The statistical effects on measuring myocyte with different image zoom rates. August 2010.
Yinlu Chen, MS. Breast Cancer Screening Model – Application to the Canadian Study. August 2009.