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Wong SWK, LUM CONROY, WU LANG, Zidek JV. Quantifying Uncertainty in Lumber Grading and Strength Prediction: A Bayesian Approach. Technometrics [Internet]. 2016;58:236–243. http://dx.doi.org/10.1080/00401706.2015.1033108


Liu J, Liu W, Wu L, Yang G. A flexible approach for multivariate mixed-effects models in the presence of non-ignorable missingness and measurement error. Journal of Statistical Computation and Simulation. 2015;.
Troncoso P. The SAGE handbook of multilevel modeling. International Journal of Research & Method in Education [Internet]. 2015;38:100–101. http://dx.doi.org/10.1080/1743727X.2014.986027



Hsu B-M, Shu M-H, WU LANG. Dynamic performance modelling and measuring for machine tools with continuous-state wear processes. International Journal of Production Research [Internet]. 2013;51:4718–4731. http://dx.doi.org/10.1080/00207543.2013.793858
Wang T, WU LANG. Multivariate one-sided tests for nonlinear mixed-effects models. Canadian Journal of Statistics [Internet]. 2013;41:453–465. http://onlinelibrary.wiley.com/doi/10.1002/cjs.11180/abstract
WANG BRADJIANHE, ZHANG HONGBIN, WU LANG, HUANG SUYONG, LU JIANXIONG, Zidek J. Property Modeling of Changbai Larch ( Larix Olgensis Henry) Veneers in Relation to Stand and Tree Variables. Wood and Fiber Science [Internet]. 2013;45:314–329. http://wfs.swst.org/index.php/wfs/article/view/2023


Poh CF, Zhu Y, Chen E, Berean KW, Wu L, Zhang L, et al. Unique FISH Patterns Associated with Cancer Progression of Oral Dysplasia. Journal of Dental Research [Internet]. 2012;91:52–57. http://jdr.sagepub.com/content/91/1/52
Zhang L, Poh CF, Williams M, Laronde DM, Berean K, Gardner PJ, et al. Loss of Heterozygosity (LOH) Profiles—Validated Risk Predictors for Progression to Oral Cancer. Cancer Prevention Research [Internet]. 2012;5:1081–1089. http://cancerpreventionresearch.aacrjournals.org/content/5/9/1081


WU LANG, Liu W, Yi GY, Huang Y. Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues. Journal of Probability and Statistics [Internet]. 2011;2012:e640153. http://www.hindawi.com/journals/jps/2012/640153/abs/
Wu L, Qiu J. Approximate Bounded Influence Estimation for Incompletely Observed Longitudinal Data. Journal of Statistical Planning and Inference. 2011;141:2321–2330.


Qiu W, WU LANG. HIV Viral Dynamic Models With Censoring and Informative Dropouts. Statistics in Biopharmaceutical Research [Internet]. 2010;2:220–228. http://amstat.tandfonline.com/doi/abs/10.1198/sbr.2009.0072
Lee D, Liu W, Peng J, Wu L. A note on the ordered means of exponential family. Far East Journal of Theoretical Statistics. 2010;31:69–75.


Wu L, Liu W, Liu J. A Longitudinal Study of Children's Aggressive Behaviors and Their Relationships with Potential Predictors. Canadian Journal of Statistics. 2009;37:435–452.
WU LANG. Mixed Effects Models for Complex Data. CRC Press; 2009.





WU LANG. Exact and Approximate Inferences for Nonlinear Mixed-Effects Models With Missing Covariates. Journal of the American Statistical Association [Internet]. 2004;99:700–709. http://dx.doi.org/10.1198/016214504000001006


Perlman MD, WU LANG. On the validity of the likelihood ratio and maximum likelihood methods. Journal of Statistical Planning and Inference [Internet]. 2003;117:59–81. http://www.sciencedirect.com/science/article/pii/S0378375802003592


Perlman MD, WU LANG. A class of conditional tests for a multivariate one-sided alternative. Journal of Statistical Planning and Inference [Internet]. 2002;107:155–171. http://www.sciencedirect.com/science/article/pii/S0378375802002501
Perlman MD, WU LANG. A defense of the likelihood ratio test for one-sided and order-restricted alternatives. Journal of Statistical Planning and Inference [Internet]. 2002;107:173–186. http://www.sciencedirect.com/science/article/pii/S0378375802002513
WU LANG, Wu H. Missing time-dependent covariates in human immunodeficiency virus dynamic models. Journal of the Royal Statistical Society: Series C (Applied Statistics) [Internet]. 2002;51:297–318. http://onlinelibrary.wiley.com/doi/10.1111/1467-9876.00270/abstract



WU LANG, Permian MD. Lattice conditional independence models for seemingly unrelated regressions. Communications in Statistics - Simulation and Computation [Internet]. 2000;29:361–384. http://dx.doi.org/10.1080/03610910008813617
Wu L, Perlman MD. Efficiency of Lattice Conditional Independence Models for Missing Continuous Data. Communication in Statistics. 2000;29:481–509.


Perlman MD, Wu L. Rejoinder to discussion of "The Emperor's New Tests". Statistical Science. 1999;14:377–381.