Statistical Methodology

• Zhang, D., Lin, X., Raz, J., and Sowers, M. (1998). Semiparametric stochastic mixed models for longitudinal data, Journal of the American Statistical Association, 93, 710-719.
• Lin, X. and Zhang, D. (1999). Inference in generalized additive mixed models using smoothing splines, Journal of the Royal Statistical Society, Series B, 61, 381-400.
• Zhang, D., Lin, X. and Sowers, M. (2000). Semiparametric regression for periodic longitudinal hormone data from multiple menstrual cycles. Biometrics , 56, 31-39.
• Lin, X., Ryan, L., Sammel, M., Zhang, D., Padungtod, C. and Xu, X. (2000). A scaled linear mixed model for multiple outcomes, Biometrics, 56, 593-601.
• Zhang, D. and Davidian, M. (2001).  Linear mixed models with flexible distributions of random effects for longitudinal Data, Biometrics, 57, 795-802.
• Lin, X. and  Zhang, D. (2001).  Discussion  of ``Semi-parametric Nonlinear Mixed Effects Models and Their Applications'' by Ke, C. and Wang, Y. Journal of the American Statistical Association,  96, 1288-1291.
• Chen, J., Zhang, D. and Davidian, M. (2002).  A Monte Carlo EM algorithm for generalized linear mixed models with flexible random effects distribution, Biostatistics, 3, 347-360.
• Zhang, D. and Lin, X. (2003). Hypothesis testing in semiparamtetric additive mixed models, Biostatistics, 4, 57-74.
• Zhang, D. and Lin, X. (1999). Generalized linear models with longitudinal covariates, still in progress.
• Zhang, D.  (2004). Generalized linear mixed models with varying coefficients for  longitudinal data, Biometrics, 60, 8-15.
• Li, E., Zhang, D. and Davidian, M. (2004). Conditional estimation for generalized linear models when covariates are subject-specific parameters in a mixed model with longitudinal measurements, Biometrics, 60, 1-7.
• Zhang, D. and Davidian, M. (2004).  Likelihood and conditional likelihood inference for generalized additive mixed models for clustered data  (invited paper), Journal of Multivariate Analysis. 91, 90-106.