Publications

     2010

    2004

  • Carroll, R. J., Hall, P., Apanasovich, T. V., and Lin, X. (2004) Histospline method in nonparametric regression models with application to longitudinal/clustered data. Statistical Sinica, 14, 649-674.
  • Lin, X., Wang, N., Welsh, A. and Carroll, R. J. (2004) Equivalent Kernels of Smoothing Splines in Nonparametric Regression for Clustered Data. Biometrika, 91, 177-193.
  • Li, L, Lin X., Brown, M. B., Gupta S., Lee, K. H. (2004) A population pharmacokinetic model with time-dependent covariates measured with error. Biometrics, 60, 451-460.
  • Linton O. B., Mammen E., Lin X., Carroll, R. J. (2004). Accounting for correlation in marginal longitudinal nonparametric regression. Proceedings of the Second Seattle Symposium in Biostatistics, editor, D. Lin and P. Heagerty (Editors), 23-34.

     

    2003

  • Li, Y. and Lin, X. (2003). Functional inference in frailty measurement error models using the SIMEX approach. Journal of the American Statistical Association, 98, 191-203.
  • Zhang, D. and Lin, X. (2003). Hypothesis testing in semiparametric additive mixed models. Biostatistics, 4, 57-74.
  • Li, Y. and Lin, X. (2003). Testing the correlation for clustered categorical and censored discrete failure time data when covariates are measured without/with errors. Biometrics, 59, 25-35.
  • Roy, J., Lin, X., and Ryan, L. (2003). Scaled Marginal Models For Multiple Continuous Outcomes. Biostatistics , 4, 371-384.
  • Epstein, M. Lin, X. and M. Boehnke (2003). A tobit variance-component method for linkage analysis of truncated trait data. American Journal of Human Genetics, 72, 611-620.

     

    2002

  • Roy, J. and Lin, X. (2002) Analysis of multivariate longitudinal outcomes with non-Ignorable dropouts and missing covariates: changes in methadone treatment practices. Journal of the American Statistical Association, 97, 40-52.
  • Welsh, A. H., Lin, X. and Carroll, R. J. (2002). Marginal longitudinal nonparametric regression: Locality and efficiency of spline and kernel methods. Journal of the American Statistical Association, , 97, 482-493.
  • Epstein, M. Lin, X. and M. Boehnke (2002). Ascertainment-adjusted parameter estimates revisted. American Journal of Human Genetics , 70, 886-895.

     

    Before 2002

    1. Breslow N. E. and Lin X. (1995). Bias correction in generalized linear mixed models with a single component of dispersion. Biometrika , 82, 81-91.

    2. Lin X. and Breslow N. E. (1996). Bias correction in generalized linear mixed models with multiple components of dispersion. Journal of the American Statistical Association, 91, 1007-1016.

    3. Lin X and Breslow NE (1996). Analysis of correlated binomial data in logistic-normal models. Journal of Statistical Computation and Simulation, 55, 133-146.

    4. Lin X. (1997). Variance component testing in generalized linear models with random effects, Biometrika, 84, 309-326.

    5. Lin X., Raz J., and Harlow S. (1997). Linear mixed models with heterogeneous within-cluster variances, Biometrics , 53, 910-923.

    6. Lin X. and Little R. J. A. (1997). Disucssion of ``Analysis of nonrandomly censored ordered categorical longitudinal data from analgesic trials,'' by Sheiner L, Beal S. and Dunne A. Journal of the American Statistical Association, 92, 1245-1247.

    7. Carroll R. J., Lin X. and Wang, N. (1997). Generalized Linear Mixed Measurement Error Models. In Modeling Longitudinal and Spatially Correlated Data, T. Gregoire, editor. Springer Verlag, New York.

    8. Wolfinger R. D., and Lin X. (1997). Two Taylor-series approximations methods for nonlinear mixed models. Journal of Computational Statistics and Data Analysis, 25, 465-490.

    9. Wang N., Lin X., Gutierrez R., and Carroll R. J. (1998). Bias analysis and SIMEX inference in generalized linear mixed measurement error models , Journal of the American Statistical Association, 93, 249-261.

    10. 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.

    11. Lin X. and Carroll R. J. (1999). SIMEX variance component tests in generalized linear mixed measurement error models. Biometrics, 55, 613-619.

    12. 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.

    13. Sammel M., Lin X. and Ryan L. (1999). Multivariate linear mixed models for multiple outcomes, Statistics in Medicine, 18, 2479-2492.

    14. Wang, N. Lin, X., and Gutierrez, R. (2000). A bias correction regression calibration approach in generalized linear mixed measurement error model. Communication in Statistics, Series A, Theory and Methods,, 28, 217--232.

    15. Zhang D., Lin X. and Sowers M. (2000). Periodic semiparametric regression for longitudinal hormone data from multiple menstrual cycles. Biometrics, , 56, 31-39.

    16. Lin, X., Ryan, L, Sammel, M., Zhang, D., Padungtod, C., Xu, X. (2000). A scaled linear mixed model for multiple continuous outcomes. Biometrics, 56, 593-601.

    17. Lin, X. and Carroll, R. J. (2000). Nonparametric function estimation for clustered data when the predictor is measured without/with error. Journal of the American Statistical Association , 95,520-534.

    18. Roy, J. and Lin, X. (2000). Latent variable models for longitudinal data with multiple continuous outcomes. Biometrics, 56,1047-1054.

    19. Li, Y. and Lin, X. (2000). Covariate measurement errors in frailty models for clustered survival data. Biometrika, 87, 849-866.

    20. Lin, X. and Carroll, R. J. (2001). Discussion of ``Semiparametric and nonparametric analysis of longitudinal data,'' by D. Y. Lin and Z. Ying. Journal of the American Statistical Association , 96, 114-115.

    21. Lin, X. and Carroll, R. J. (2001). Semiparametric regression for clustered data using generalized estimating equations, Journal of the American Statistical Association, 96, 1045-1056.

    22. Lin, X. and Carroll, R. J. (2001). Semiparametric regression for clustered data. Biometrika, 88, 1179-1865.

    23. Lin, X. and Zhang, D. (2001). Discussion of ``Semiparametric nonlinear mixed effects mdoels and their applications" by C. Ke and Y. Wang. Journal of the American Statistical Association, 96, 1288-1291.

     

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