Books

• Wu, L. (2009). Mixed Effects Models For Complex Data, Chapman and Hall/CRC, 431 pages.
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• Wu, L. and Qiu, J. (2014). Applied Multivariate Analysis and Related Topics with R. Science Press, EDP Sciences (2021), 226 pages. Table of Content       Order from Amazon.com

Sample journal articles

The following sample journal articles represent my research on different topics:

• Yu, T., Wu, L., Qiu, J., Gilbert, P.B. (2022). Robust joint modelling of left-censored longitudinal data and survival data, with application to HIV vaccine studies. Annals of Applied Statistics, in press.

• Zhang, H., and Wu, L. (2019). Joint Model of Accelerated Failure Time and Mechanistic Nonlinear Model for Censored Covariates, with application in HIV/AIDS. Annals of Applied Statistics 13(4), 2140-2157.

• Zhou, G. and Wu, L. (2018). Modeling semi-continuous longitudinal data with order constraints. Statistics in Medicine, 37 (30), 4758-4770.

• Yu, T., Wu, L., and Gilbert, P. (2018). A joint model for mixed and censored longitudinal data and survival data, with application to HIV vaccine studies. Biostatistics, 19(3), 374-390.

• Zhang, H., and Wu, L. (2018). A Mechanistic Nonlinear Model for Truncated and Mis-Measured Time-varying Covariates in Survival Models, with Applications in HIV/AIDS. Journal of the Royal Statistical Society, C, 67(5), 1437-1450.

• Qiu, J. and Wu, L. (2015). A Moving Blocks Empirical Likelihood Method for Longitudinal Data. Biometrics, 71(3), 616-624.

• Wang, T. and Wu, L. (2011). Multiple Imputation Methods for Multivariate One-sided Tests with Missing Data. Biometrics, 67 , 1452-1460.

• Wu, L., Liu, W., and Liu, J. (2009). A Longitudinal Study of Children's Aggressive Behaviors and Their Relationships with Potential Predictors, Canadian Journal of Statistics, 37, 435-452.

• Wu, L., Hu, J., and Wu, H. (2008). Joint Inference for Nonlinear Mixed-Effects Models and Time-to-Event at the Presence of Missing Data, Biostatistics, 9, 308-320.

• Liu, W. and Wu, L. (2007). "Simultaneous inference for semiparametric nonlinear mixed-effects models with covariate measurement errors and missing responses," Biometrics, 63, 342 - 350.

• Wu, L. (2004). "Exact and Approximate Inferences for Nonlinear Mixed-Effects Models with Missing Covariates", Journal of the American Statistical Association, 99, 700-709.

• Wu, L. (2002). "A Joint Model for Nonlinear Mixed-Effects Models with Censoring and Covariates Measured with Error, with Application to AIDS Studies." Journal of the American Statistical Association, 97, 955-964.

• Wu, L. and Gilbert, P. (2002). "Flexible Weighted Log-Rank Tests Optimal for Detecting Early and/or Late Survival Differences." Biometrics, 58, 997-1004.

• Perlman, M.D. and Wu, L. (1999). "The Emperor's New Tests (with discussion)." Statistical Science, 14, 355-369.

Complete list of Publications

Work in progress