Dongfeng Wu, Ph.D.

Education:Dongfeng Wu, Ph.D.

B.S., Probability and Statistics, Peking University, P.R. China; 1990.
M.S., Probability and Statistics, Peking University, P.R. China; 1993.
M.S., Computer Science, University of California, Santa Barbara, 1999.
Ph.D., Statistics, University of California, Santa Barbara. 1999.

Curriculum Vitae

Current Positions:

Associate Professor, Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences
Member, Care and Control Program, James Graham Brown Cancer Center

Contact Information:

 School of Public Health and Information Sciences
485 E. Gray Street
Louisville, KY 40202, USA.


Research Description:

My main research area is in probability modeling and statistical inferences in cancer screening. Besides that, I am interested in Bayesian inference, statistical decision theory, time series, smoothing spline, wavelet regression and all kinds of statistical methods in medical research.

Literature Cited:

  1. Wu D, Kafadar K, Rai SN.  Inference of long-term screening outcomes for individuals with screening histories.  Statistics and Public Policy 2018;5(1):1-10.
  2. Liu R, Perez A, Wu D.  Estimation of lead time via low-dose CT in the National Lung Screening Trial.  Journal of Healthcare Informatics Research. Published online June 12, 2018,
  3. Liu R, Gaskin JT, Mitra R, Wu D.  A review of estimation of key parameters and lead time in cancer screening.  Revista Colombiana de Estadistica (Colombian Journal of Statistics) 2017;40(2):263-78. DOI:
  4. Wang D, Levitt B, Riley T, Wu D.  Estimation of sojourn time and transition probability of lung cancer for smokers using the PLCO data.  Journal of Biometrics and Biostatistics 2017;8:360. doi: 10.4172/2155-6180.1000360.
  5. Wu D, Liu R, Levitt B, Riley T, Baumgartner, KB.  Evaluating long-term outcomes via computed tomography in lung cancer screening.  Journal of Biometrics and Biostatistics 2016;7(3):313. doi:10.4172/2155-6180.1000313.
  6. Kim S, Wu D.  Estimation of sensitivity depending on sojourn time and time spent in preclinical state.  Statistical Methods in Medical Research 2016;25(2):728-40. doi: 10.1177/0962280212465499.
  7. Liu R, Levitt B, Riley T, Wu D.  Bayesian estimation of the three key parameters in CT for the National Lung Screening Trial data.  Journal of Biometrics and Biostatistics 2015;6:263. doi: 10.4172/2155-6180.1000263
  8. Kim S, Jang H, Wu D, Abrams J.  A Bayesian nonlinear mixed-effects disease progression model.  Journal of Biometrics and Biostatistics 2015;6:271. doi: 10.4172/2155-6180.1000271.
  9. Kendrick SK, Rai SN, Wu D.  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 2015;6(4):247. doi: 10.4172/2155-6180.1000247.
  10. Wu D, Kafadar K, Rosner GL.  Inference of long term effects and over-diagnosis in periodic cancer screening.  Statistica Sinica 2014;24(2):815-31.
  11. Chen Y, Erwin D, Wu D.  Over-diagnosis in lung cancer screening using the MSKC-LCSP data.  Journal of Biometrics and Biostatistics 2014;5(4):201. doi: 10.4172/2155-6180.1000201.
  12. Jang H, Kim S, Wu D.  Bayesian lead time calculation for the Johns Hopkins Lung Project data.  Journal of Epidemiology and Global Health 2013 Sep;3(3):157-73. PMID: 23932058. doi: 10.1016/j.jegh.2013.05.001.
  13. Kim S, Erwin D, Wu D.  Efficacy of dual lung cancer screening by chest x-ray and sputum cytology using Johns Hopkins lung project data.  Journal of Biometrics and Biostatistics 2012;3(4):139-42. doi:10.4172/2155-6180.1000139.
  14. Wu D, Kafadar, K, Rosner GL, Broemeling LD.  The lead time distribution when lifetime is subject to competing risks in cancer screening.  The International Journal of Biostatistics 2012;8(1):Article 6. doi: 10.1515/1557-4679.1363. PMID: 226111589.
  15. Luo D, Cambon AC, Wu D.  Evaluating long term effect of FOBT in colon cancer screening.  Cancer Epidemiology 2012 Feb;36(1):e54-e60. doi: 10.1016/j.canep.2011.09.011. PMID: 22075536.
  16. Wu D, Erwin D, Kim S.  Projection of long-term outcomes using X-rays and pooled cytology in lung cancer screening.  Open Access Medical Statistics 2011 Aug 2;1:13-19. doi: 10.2147/OAMS.S22987.
  17. Wu D, Perez A.  A limited review of over-diagnosis methods and long term effects in breast cancer screening.  Oncology Reviews 2011 Sep 1;5(3):143-7. PMID: 21927651. PMCID: PMC3171741.
  18. Shows J, Wu D.  Inferences for the lead time in breast cancer screening trials under a stable disease model.  Cancers (Basel) 2011;3(2):2131-40. doi: 10.3390/cancers3022131. PMID: 24212799. PMCID: PMC3757407.
  19. Wu D, Erwin D. Rosner GL.  Sojourn time and lead time projection in lung cancer screening.  Lung Cancer 2011 Jun;72(3):322-6. PMID: 21075475. PMCID: PMC4839299.
  20. Chen Y, Brock G, Wu D. (2010). Estimating key parameters in periodic breast cancer screening - application to the Canadian National Breast Screening Study data.  Cancer Epidemiology 2010 Aug 34(4):429-33. doi: 10.1016/j.canep.2010.04.001. PMID: 20434974. PMCID: PMC2910214.
  21. Wu D, Erwin D, Rosner GL.  A projection of benefits due to fecal occult blood test for colorectal cancer. Cancer Epidemiology 2009 Oct;33(34):212-5. doi: 10.1016/j.canep.2009.08.001. PMID: 19733140. PMCID: PMC2773467.
  22. Wu D, Erwin D, Rosner GL.  Estimating key parameters in FOBT screening for colorectal cancer.  Cancer Causes and Control 2009 Feb;20(1):41-6. PMID: 18704710. PMCID: PMC2773467.
  23. Wu D, Cariño RL, Wu X.  When sensitivity is a function of age and time spent in the preclinical state in periodic cancer screening.  Journal of Modern Applied Statistical Methods 2008;7(1):297-303.
  24. Wu D, Rosner GL, Broemeling LD.  Bayesian inference for the lead time in periodic cancer screening.  Biometrics 2007;63(3):873–80.  PMID: 17077868. PMCID: PMC1513186.
  25. Wu D, Rosner GL, Broemeling LD.  MLE and Bayesian inference of age-dependent sensitivity and transition probability in periodic screening.  Biometrics 2005;61(4):1056-63. PMID: 16401279.  PMCID: PMC1540406.

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