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Dandan Liu, Ph.D.

Assistant Professor

Phone: 615-322-8318
Fax: 615-343-4924
Office: CC-2102S
Vanderbilt University School of Medicine
Department of Biostatistics
2525 West End, Ste. 11000
Nashville, TN 37203

Research Interests

  • Event history data analysis
  • Risk prediction, diagnostic and predictive accuracy measures
  • Applications in cognitive aging and Alzheimer's disease, cardiovascular disease and cancer disease


Emergency Department Collaboration


  • PhD, Biostatistics 2010
    * University of Michigan
    * Dissertation: Flexible Methods for Clustered Event History data
    * Advisors: Drs. Jack Kalbfleisch and Douglas Schaubel

  • MA, Statistics 2005
    * University of Missouri-Columbia
    * Thesis: Regression Analysis of Longitudinal Data with Informative Observation and Censoring Times
    * Advisor: Dr. Tony(Jianguo) Sun

  • BS, Applied Mathematics 2002
    * Fudan University, China

Work Experience

  • Assistant Professor 2011 - present
    Department of Biostatistics, Vanderbilt University

  • Postdoctoral Research Fellow 2010 - 2011
    Fred Hutchinson Cancer Research Center

Selected Publications

  1. Gi fford KA, Liu D, Carmona H, Lu Z, Romano R, Tripodis Y, Martin B, Kowall N, and Jefferson AL (2014) Inclusion of an Informant Yields Strong Associations Between Cognitive Complaint and Longitudinal Cognitive Outcomes in Non-demented Elders. Journal of Alzheimer's Disease, In press
  2. Liu D, Zheng Y, Prentice RL and Hsu L (2014) Projecting Population Risk with Time-to-Event Data. Journal of the American Statistical Association, 109: 514-524
  3. Giff ord KA, Liu D, Lu Z, Tripodis Y, Cantwell N, Palmisano J, Kowall N, and Je fferson AL (2014) The Source of Cognitive Complaints Diff erentially Predicts Diagnostic Conversion Among Non-demented Older Adults. Alzheimers & Dementia, 10: 319-327
  4. Liu, D, Kalbfleisch, JD and Schaubel, DE (2014) Methods for Estimating Center Effects on Recurrent Events. Statistics in Bioscience, 6: 19-37
  5. Liu, D, Cai, T and Zheng, Y (2012) Evaluating the Predictive Value of Biomarkers with Stratified Case-Cohort Design. Biometrics, 68: 1219-1227
  6. Liu, D, Schaubel, DE and Kalbfleisch, JD (2012) Computationally Efficient Marginal Models for Clustered Recurrent Event Data. Biometrics, 68: 637-647
  7. Liu, D, Kalbfleisch, JD and Schaubel, DE (2011) A Positive Stable Frailty Model for Clustered Failure Time Data with Covariate Dependent Frailty. Biometrics, 67: 8-17
  8. Sun, J , Sun, L and Liu, D (2007) Regression Analysis of Longitudinal Data in the Presence of Informative Censoring and Observation Times. Journal of the American Statistical Association, 102: 1397-1406.
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