2010

• Pub1
• pub2
• pub3

2009

• Wu, M.,C., Zhang, L., Wang, Z., Christiani, D. C., Lin, X. (2009) Sparse linear discriminant analysis for simultaneous gene set/pathway significance test and gene selection. Bioinformatics, in press.
• Pan, W., Zeng, D. and Lin, X. (2009) Semiparametric transition measurement error models for longitudinal data. , Biometrics,, in press.
• Li, Y., Tang, H. and Lin, X. (2009). Covariate measurement error in spatial linear mixed models. Statistica Sinica, in press.
• Li, Y., Lin, X. and Muller, P. (2009) Bayesian inference in semiparametric mixed models for longitudinal data. Biometrics, in press.

 

2008

• Sanda, M. G., Dunn, R. L., Michalski, J., Sandler, H. M., Northouse, L., Hembroff, L., Lin, X., Greenfield, T., Litwin, M. S., Saigal, C. S., Mahadevan, A., Klein, E., Kibel, A., Pisters, L., Kuban, D., Kaplan, I., Ciezki, J., Shah, N., Wei, J. T. (2008) HRQOL and satisfaction with cancer treatment outcome fromthe perspective of early stage prostate cancer patients and their spouse/partners. New England Journal of Medicine, 358:12, 1250-1261.
• Heist, R., Zhai, R., Liu, G., Zhou, W., Lin, X., Su, L., Asomaning, K., Lynch , T., Wain, J., Christinai, D. (2008). VEGF Polymorphism and Survival in Early Stage Non-Small Cell Lung Cancer. Journal of Clinical Oncology, 26, 856-862.
• Liu, D., Ghosh, D. and Lin, X. (2008) Estimation and Testing for the Effect of a Genetic Pathway on a Disease Outcome Using Logistic Kernel Machine Regression via Logistic Mixed Models. BMC Bioinformatics, 9, 292. SAS code
• Kwee, L, Liu, D., Lin, X., Ghosh, D., and Epstein, M. (2008) A powerful and flexible multilocus association test for quantitative traits. American Journal of Human Genetics, 82, 386-397.
• Yu, Z. and Lin, X. (2008) Nonparametric regression using local kernel estimating equations for correlated failure time data. Biometrika, , 95, 123-127.
• Long, Q., Little, R. J., Lin, X. (2007) Causal inference in hybrid intervention trials involving treatment choice. Journal of the American Statistical Association, 103, 474-484
• Little, R., Long, Q. and Lin, X. (2008) A comparison of methods for estimating the causal effect of a treatment in randomized clinical trials subject to noncompliance, Biometrics, in press.
• Zeng, D., Lin, D., and Lin, X. (2008) Semiparametric linear transformation models with random effects for clustered time data. Statistica Sinica, 18, 355-377.
• Li, Y., Prentice, R. L. and Lin, X. (2008) Maximum likelihood estimation in semiparametric normal transformation models for bivariate survival data. Biometrika, 95, 947-960.
• Harezlak, J., Wu, M. C., Wang, M., Schwartzman, A., Christiani, D. C., and Lin, X. (2008) Biomarker discovery for arsenic exposure using functional data analysis and feature learning of mass spectrometry proteomic data. Journal of Proteome Research , 7, 217-224
• Schipper, M., Taylor, J. and Lin, X. (2008) Generalized monotonic functional mixed models with application to modeling normal tissue complications. Journal of the Royal Statistical Society, Series C, 57,149-163.

   

  2007

• Ji, H., Ramsey, M. R., Hayes, D. N. Fan, C., McNamara, K., Kozlowski, P., Torricd, C., Wu, M. C., Shimamura, T., Perera, S., Liang, M.C., Cai, D., Maumov, G., Bao, L., Contreras, C., Li, D., Chen, L., Krishnamurthy, J., Koivunen, J., Chirieac, L. R., Padera, R., Bronson, R. T., Lindeman, N., Christiani, D. C., Lin, X., Shapiro, G. I., Janne, P. A., Johnson, B., Meyerson, M., Kwiatkowski, D., Castrillon, D. H., Bardeesy, N., Sharpless, N., and Wong, K. (2007). LKB1 modulates lung cancer differentiation and metastasis. Nature, 448, 807-10.
• Cassidy-Bushrow, A. E., Bielak, L. F., Sheedy, P. F., Turner, S. T., Kullo, I. J., Lin, X., Peyser, P. (2007) Coronary artery calcification progression is heritable. Circulation, 116, 23-31.
• Clark, N., Gong, M., Wang, S., Lin, X., Bria, W., and Johnson, T. (2007) A randomized trial of a self-regulation intervention for women with asthma. Chest, 132, 88-97.
• Diez Roux, A.V., Auchincloss, A. H., Astor, B., Barr, G. Cushman, M., Dvonch, T., Jocobs, D. R., Kaufman J., Lin, X., Samson, P. (2006). Recent exposure to particulate matter and C-reactive protein concentration in the multiethnic study of atherosclerosis. American Journal of Epidemiology, in press.
• Liu, D., Lin, X. and Ghosh, D. (2007) Semiparametric Regression of Multi-Dimensional Genetic Pathway Data: Least Squares Kernel Machines and Linear Mixed Models. Biometrics, 63, 1079-1088. This paper won the 2007 Best Biometrics Paper Award. SAS code
• Schipper, M., Taylor, J. and Lin, X. (2008) Bayesian generalized monotonic functional mixed models for the effects of radiation dose histograms on normal tissue complications. Statistics in Medicine, 26, 4643-4656.
• Ye, W., Lin, X. and Taylor, J. (2007) Semiparametric modeling of longitudinal measurements and time-to-event data--A two-stage regression calibration approach. Biometrics, in press.
• Harezlak, J., Wang, M., Christiani, D. and Lin, X. (2007) Quantitative quality-assessment techniques to compare frantionation and depletion methods in SELDI-TOF mass spetrometry experiments. Bioinformatics , 23, 2441-2448.
• Zhang, D., Lin, X. and Sowers, M. F. (2007) Two-Stage Functional Mixed Models for Evaluating the Effect of Longitudinal Covariate Profiles on a Scalar Outcome. Biometrics, 63, 351-362.
• Pan, W., Lin, X. and Zeng, D. (2007). Structural Inference in Transition Measurement Error Models for Longitudinal Data. Biometrics , in press.

   

  2006

• Lin, X. and Carroll, R. J. (2006) Semiparametric Estimation in General Repeated Measures Problems. Journal of the Royal Statistical Society, Series B, 68, 69-88.
• Li, Y. and Lin, X. (2006) Semiparametric normal transformation models for spatially correlated survival data. Journal of the American Statistical Association. 101, 591-603.
• Nan, B., Lin, X., Lisabeth, L. D., and Harlow, S. D. (2006) Piece-wise constant cross-ratio estimates for the assocation between age at a marker event and age at menopaus. Journal of the American Statistical Association. 101, 65-77.

   

  2005

• Roy, J. and Lin, X. (2005). Missing Covariates in Longitudinal Data With Informative Dropouts: Bias Analysis and Inference. Biometrics, 61, 837-846.
• Hogan, J. W., Lin, X., Herman, B. (2005) Mixtures of Varying Coefficient Models for Longitudinal Data Discrete or Continuous Non-ignorable Dropout. Biometrics, 60, 854-864.
• Wang, N., Carroll, R. J. and Lin, X. (2005). Efficient semiparametric marginal estimation for longitudinal/clustered data. Journal of the American Statistical Association, 100, 147-157.
• Nan, B., Lin, X., Lisabeth, L. D., Harlow, S. (2005). A varying-coefficient Cox model for the effect of age at a marker event on age at menopause. Biometrics, 61, 576-583.
• Bellamy, S. L., Li, Y. Lin, X., and Ryan, L. M. (2005) Note on the PQL bias in estimating cluster-level covariate effects in group-randomized trials. Statistica Sinica, 15, 1015-1032.

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.