Research Interest

My research interests cover survival analysis, latent variable models, sequential analysis, longitudinal data analysis, stochastic processes, semiparametric inference, and their applications in health sciences, educational and psychological assessments, and finance.

Selected Publications

Z. Ying (1990). Nonlinear stochastic approximation procedures for Lp loss functions. Ann. Statist. 18: 1817-1828.

Z. Ying (1990). Linear rank statistics for truncated data. Biometrika. 77: 909-914.

L.J. Wei, Z. Ying and D.Y. Lin (1990). Linear regression analysis of censored survival data based on rank tests. Biometrika. 77: 845-852.

T.L. Lai and Z. Ying (1991). Estimating a distribution function with truncated and censored data. Ann. Statist. 19: 417-442.

T.L. Lai and Z. Ying (1991). Rank regression methods for left truncated and right censored data. Ann. Statist. 19: 531-554.

T.L. Lai and Z. Ying (1992). Recursive solutions of estimating equations and adaptive spectral factorization. IEEE Trans. Automat. Contr. 37: 240-243.

Z. Ying (1992). Minimum Hellinger-type distance estimation for censored data. Ann. Statist. 20: 1361-1390.

M.G. Gu and Z. Ying (1993). Sequential analysis for censored regression data. J. Amer. Statist. Assoc. 88: 890-898.

Z. Ying (1993). Maximum likelihood estimation of parameters under a spatial sampling scheme. Ann. Statist. 21: 1567-1590.

E.W. Lee, L.J. Wei and Z. Ying (1993). Linear regression analysis for highly stratified failure time data. J. Amer. Statist. Assoc. 88: 557-565.

Z. Ying (1993). A large sample study of rank estimation for censored regression data. Ann. Statist. 21: 76-99.

D.Y. Lin, L.J. Wei and Z. Ying (1993). Checking the Cox model with cumulative sums of martingale-based residuals. Biometrika. 80: 557-572.

D.Y. Lin and Z. Ying (1993). Cox regression with incomplete covariate measurements. J. Amer. Statist. Assoc. 88: 1341-1349.

D.Y. Lin and Z. Ying (1993). A simple nonparametric estimator of the bivariate survival function under univariate censoring. Biometrika. 80: 573-581.

D.Y. Lin and Z. Ying (1994). Semiparametric analysis of the additive risk model. Biometrika. 81: 61-71.

M.I. Parzen, L.J. Wei and Z. Ying (1994). A resampling method based on pivotal estimating functions. Biometrika. 81: 341-350.

Z. Ying, S.H. Jung and L.J. Wei (1995). Survival analysis with median regression model. J. Amer. Statist. Assoc. 90: 178-184.

S.C. Cheng, L.J. Wei and Z. Ying (1995). Analysis of transformation models with censored data. Biometrika. 82: 835-845.

K. Chen and Z. Ying (1996). A counterexample to a conjecture concerning the Hall-Wellner band. Ann. Statist. 24: 641-646.

H. Chang and Z. Ying (1996). A global information approach to computerized adaptive testing. Applied Psychological Measurement. 20: 213-229.

Y. Bilias, M. Gu and Z. Ying (1997). Towards a general asymptotic theory for cox model with staggered entry. Ann. Statist. 25: 662-682.

D.Y. Lin, D. Oakes and Z. Ying (1998). Additive hazards regression with current status data. Biometrika. 85: 289-298.

D.Y. Lin, L.J. Wei and Z. Ying (1998). Accelerated failure time models for counting processes. Biometrika. 85: 605-618.

J.P. Fine, Z. Ying and L.J. Wei (1998). On the linear transformation model for censored data. Biometrika. 85: 980-986.

D.Y. Lin, W. Sun and Z. Ying (1999). Nonparametric estimation of the gap time distributions for serial events with censored data. Biometrika. 86: 59-70.

H. Chang and Z. Ying (1999). a-stratified multistage computerized adaptive testing. Applied Psychological Measurement. 23: 211-222.

D.Y. Lin, Q. Yao and Z. Ying (1999). A general theory on stochastic curtailment for censored survival data. J. Amer. Statist. Assoc. 94: 510-521.

S. Buyske, R. Fagerstrom and Z. Ying (2000). A Class of G-type weighted log-rank tests for survival data when the event is rare. J. Amer. Statist. Assoc. 95: 249-258.

Y. Bilias, S. Chen and Z. Ying (2000). Simple resampling methods for censored regression quantiles. Journal of Econometrics. 99: 373-386.

D.Y. Lin, L.J. Wei, I. Yang and Z. Ying (2000). Semiparametric regression for the mean and rate functions of recurrent events. J. of Roy. Statist. Soc. Ser. B. 62: 711-730.

D.Y. Lin and Z. Ying (2001). Semiparametric and nonparametric regression analysis of longitudinal data (with discussions). J. Amer. Statist. Assoc. 96: 103-126.

Z. Jin, L.J. Wei and Z. Ying (2001). A simple resampling method by perturbing the minimand. Biometrika. 88: 381-390.

P. Bickel, S. Buyske, H. Chang and Z. Ying (2001). On maximizing item information and matching difficulty with ability. Psychometrika. 66: 69-77.

D.Y. Lin, L.J. Wei and Z. Ying (2001). Semiparametric transformation models for censored point processes. J. Amer. Statist. Assoc. 96: 620-628.

Y. Vardi, Z. Ying and C-H. Zhang (2001). Two-sample tests for growth curves under dependent right censoring. Biometrika. 88: 949-960.

Y. Yang and Z. Ying (2001). Marginal proportional hazards models for multiple event-time data. Biometrika. 88: 581-586.

H. Chang, J. Qian and Z. Ying (2001). a-stratified multistage CAT with b-blocking. Applied Psychological Measurement. 25: 333-341.

D.Y. Lin, L.J.Wei and Z. Ying (2002). Model-checking techniques based on cumulative residuals. Biometrics. 58: 1-12.

K. Chen, Z. Jin and Z. Ying (2002). Semiparametric analysis of transformation models. Biometrika. 89: 659-668.

Z. Jin, D.Y. Lin, L.J.Wei and Z. Ying (2003). Rank-based inference for the accelerated failure time model. Biometrika. 90: 341-353.

S.-H. Jung and Z. Ying (2003). Rank-based regression with repeated measurements data. Biometrika. 90: 732-740.

W. Lu and Z. Ying. (2004). On semiparametric transformation cure models. Biometrika. 91: 331-343.

Z. Jin, D. Lin and Z. Ying. (2006). On least-squares regression with censored data. Biometrika. 93: 147-161.

K. Chen, Z. Ying, H. Zhang, and L. Zhao (2008). Analysis of least absolute deviation. Biometrika. 95: 107-122.

H. Chang and Z. Ying (2008). To weight or not to weight? Balancing in uence of initial and later items in adaptive testing. Psychometrika. 73: 441-450.

H. Chang and Z. Ying (2009). Nonlinear sequential designs for logistic item response theory models with applications to computerized adaptive test. Ann. Statist. 37: 1466-1488.

K. Chen, S. Guo, Y. Lin, and Z. Ying (2010). Least Absolute Relative Error Estimation. J. Amer. Statist. Assoc. 105: 1104-1112.

J. Liu, G. Xu, and Z. Ying (2012). Data-driven learning of Q-matrix. Applied Psychological Measurement. 36: 548-564.

H. Xing and Z. Ying (2012). A semiparametric change-point regression model for longitudinal observations. J. Amer. Statist. Assoc. 107: 1625-1637.

J. Liu, G. Xu and Z. Ying (2013). Theory of self-learning Q-matrix. Bernoulli. 19: 1790-1817.

J.P. Kim, W. Lu, T. Sit and Z. Ying (2013). A unified approach to semiparametric transformation models under general biased sampling schemes. J. Amer. Statist. Assoc. 108: 217-227.

J. Huang, T. Sun, Z. Ying, Y. Yu, and C-H. Zhang (2013). Oracle inequalities for the Lasso in the Cox model. Ann. Statist. 41: 1055-1692.

J. Liu, Z. Ying, and S. Zhang (2015). A rate function approach to the computerized adaptive testing for cognitive diagnosis. Psychometrika. 80: 468-490.

Y-H. Lee, and Z. Ying (2015). A mixture cure-rate model for responses and response times in time-limit tests. Psychometrika. 80: 748-775.

Y. Chen, J. Liu, and Z. Ying (2015). Item calibration of diagnostic classification models. Applied Psychological Measurement. 39: 5-15.

Y. Chen, J. Liu, G. Xu, and Z. Ying (2015). Statistical analysis of Q-matrix based diagnostic classification models. J. Amer. Statist. Assoc. 110: 850-866.

W. Yu, K. Chen, M. Sobel and Z. Ying, (2015). Semiparametric transformation models for causal inference in time to event studies with all-or-nothing compliance. J. of Roy. Statist. Soc. Ser. B. 77: 397-415.

Z. Jin, Y. Shao and Z. Ying, (2015). A Monte Carlo method for variance estimation for estimators based on induced smoothing. Biostatistics. 16: 179-188.