Zhezhen Jin, Ph.D.

Professor of Biostatistics
Department of Biostatistics
Mailman School of Public Health

Phone: (212) 305-9404
Fax: (212) 305-9408
E-mail: zj7@cumc.columbia.edu
Mailing address:
Department of Biostatistics
722 West 168th Street, Room 634
New York, NY 10032

Google Scholar

Selected statistical papers

  1. Jin, Z., Ying, Z. and Wei, L. J. (2001). A simple resampling method by perturbing the minimand, Biometrika, 88, 381-390. [pdf]
  2. Chen K., Jin, Z. and Ying, Z. (2002). Semiparametric analysis of transformation models with censored data, Biometrika, 89, 659-668. [pdf]
  3. Jin, Z., Lin, D.Y., Wei, L. J., and Ying, Z. (2003). Rank-based inference for the accelerated failure time models, Biometrika, 90, 341-353. [pdf]
  4. Chen K., Jin, Z. (2005). Local polynomial regression analysis of clustered data, Biometrika, 92, 59-74. [pdf]
  5. Chen K., Jin, Z. (2006). Partial linear regression models for clustered data, Journal of the American Statistical Association, 101, 195-204. [pdf]
  6. Jin, Z., Lin, D.Y. and Ying, Z. (2006). On least-squares regression with censored data, Biometrika, 93, 147-161. [pdf]
  7. Jin, Z., Lin, D.Y. and Ying, Z. (2006). Rank regression analysis of multivariate failure time data based on marginal linear models, Scandinavian Journal of Statistics, 33, 1-23. [pdf]
  8. Yang, Y. and Jin, Z. (2006). Combining dependent tests to compare the diagnostic accuracies --- a nonparametric approach, Statistics in Medicine, 25, 1239-1250. [pdf]
  9. Jin, Z., Liu, M., Albert, S. and Ying, Z. (2006). Analysis of longitudinal health-related quality of life data with terminal events. Lifetime Data Analysis, 12, 169-190. [pdf]
  10. Huang, L. and Jin, Z. (2007). LSS: an Splus/R programs for the accelerated failure time model based on least-squares principle, Computer Methods and Programs in Biomedicine, 86, 45-50. [pdf]
  11. Liu, X. and Jin, Z. (2007). Item reduction in a scale for screening, Statistics in Medicine, 26, 4311-4327. [pdf]
  12. Jin, Z. (2007). M-estimation in regression models for censored data, Journal of Statistical Planning and Inference, 137, 3894-3903. [pdf]
  13. Chen, K., Fan, J. and Jin, Z. (2008). Design-adaptive minimax local linear regression for longitudinal/clustered data, Statistica Sinica, 18, 515-534. [pdf]
  14. Liu, X. and Jin, Z. (2009). A non-parametric approach to scale reduction for uni-dimensional screening scales, International Journal of Biostatistics, 15, 1:7, DOI: 10.2202/1557-4679.1094. [pdf]
  15. Huang, L. and Jin, Z. (2012). Sequential analysis of censored data with linear transformation models, Sequential Analysis, 31, 172-189. [pdf]
  16. Jin, Z. and Mounir, M. (2013). Unidimensionality, agreement and concordance probability. Statistical Models and Methods for Reliability and Survival Analysis , Editors: Couallier, V., Gerville-R\'eache, L., Huber-Carol, C., Limnios N., and Mesbah, M., John Wiley & Sons, Hoboken, 1-19. [pdf]
  17. Jin, Z., Shao, Y. and Ying, Z. (2015). A Monte Carlo method for variance estimation for estimators based on induced smoothing, Biostatistics, 16, 179-188. [pdf]
  18. Liu, X. and Jin, Z. (2015). Optimal survival time related cut-point with censored data, Statistics in Medicine, 34, 515-524. [pdf]
  19. Liu, X., Jin, Z. and Graziano, J.H. (2012). Comparing paired biomarkers in predicting quantitative health outcome subject to random censoring, Statistical Methods in Medical Research, in press. [pdf]
  20. Zhao, Z., Zheng, M. and Jin, Z. Estimating the survival function based on the Semi-Markov model for dependent censoring, Lifetime Data Analysis, in press. [pdf]
  21. Zhang, J., Jin, Z. , Shao, Y. and Ying, Z. Statistical inference on transformation models: methods and theory. arXiv: 1302.6651. [pdf]