Research interests:

Nonparametric and semiparametric statistics with focus on high-dimensional data analysis, variable selection, quantile regression, estimating equations, censored data, model diagnostics and their applications.

Editorial service:

Associate Editor of Biometrics (07/2011-present)

Selected Papers:

(Acknowledgement: The research of Dr. Wang has been supported by two NSF grants 2007-2010, 2010-2013 for which she served as the sole principle investigator.)

• High-dimensional penalized generalized estimating equations for longitudinal data analysis (2011), by Lan Wang, Jianhui Zhou and Annie Qu, to appear in Biometrics. [Web-based supplemental document]
• GEE analysis of clustered binary data with diverging number of covariates (2011), by Lan Wang, Annals of Statistics, 39, 389-417.

Here is an online supplemental file that contains additional technical details.

• Semiparametric modeling and estimation of heteroscedasticity in regression analysis of cross-sectional data (2010), by Ingrid Van Keilegom and Lan Wang, Electronic Journal of Statistics, 4, 133-160.
• Local rank inference for varying coefficient models (2009), by Lan Wang, Bo Kai and Runze Li, Journal of the American Statistical Association, 104, 1631-1645.
• Locally weighted censored quantile regression (2009), by Huixia Wang and Lan Wang, Journal of the American Statistical Association, 104, 1117-1128.  Here is a remark of the paper.
• Weighted Wilcoxon-type smoothly clipped absolute deviation method (2009), by Lan Wang and Runze Li, Biometrics, 65(2), 564-571.  [Web document]
• Rank regression under possible model misspecification (2011), by Lan Wang, Nonparametric Statistics and Mixture Models: A Festschrift in Honor of Thomas P. Hettmansperger (ed by Hunter, Richards and Rosenberger), 317-335.
• Wilcoxon-type generalized Bayesian information criterion (2009), by Lan Wang, Biometrika, 96(1), 163-173.
• Consistent model selection and data-driven smooth tests for longitudinal data in the estimating equations approach (2009), by Lan Wang and Annie Qu, Journal of the Royal Statistical Society, Series B, 71(1), 177-190.
• Nonparametric test for checking lack-of-fit of quantile regression model under random censoring (2008), by Lan Wang, Canadian Journal of Statistics, 36(2), 321-336.
• Assessing the adequacy of variance function in heteroscedastic regression models (2007), by Lan Wang and Xiao-Hua Zhou, Biometrics, 63(4), 1218-1225.
• Robust tests in regression models with omnibus alternatives and bounded influence (2007), by Lan Wang and Annie Qu, Journal of the American Statistical Association, 102, 347-358.
• A simple nonparametric test for diagnosing nonlinearity in Tobit median regression model (2007), by Lan Wang, Statistics and Probability Letters, 77(10), 1034-1042.
• Nonparametric test for the form of parametric regression with time series errors (2007), by Lan Wang and Ingrid Van Keilegom, Statistica Sinica, 17, 369-386.
• Testing for covariate effects in fully nonparametric ANCOVA model (2006), by Lan Wang and Michael. G. Akritas,  Journal of the American Statistical Association, 101, 722-736.
• Two-way heteroscedastic ANOVA with large number of levels (2006), by Lan Wang and Michael. G. Akritas, Statistica Sinica, 16, 1387-1408.
• A fully nonparametric diagnostic test for homogeneity of variances (2005), by Lan Wang and Xiao-Hua Zhou, Canadian Journal of Statistics, Vol. 33, No 4, pp. 545-558.