Wu, C. and Thompson, M.E. (2020). Sampling Theory and Practice. Springer, Cham. (17 chapters, 365 pages)
Wu, C. and Sitter, R.R. (2001). A Model-calibration Approach to Using Complete Auxiliary Information from Survey Data. Journal of the American Statistical Association, 96, 185–193.
Sitter, R.R. and Wu, C. (2002). Efficient Estimation of Quadratic Finite Population Functions in the Presence of Auxiliary Information. Journal of the American Statistical Association, 97, 535–543.
Chen, J. and Wu, C. (2002). Estimation of Distribution Function and Quantiles Using the Model-calibrated Pseudo Empirical Likelihood Method. Statistica Sinica, 12, 1223–1239.
Wu, C. (2003). Optimal Calibration Estimators in Survey Sampling. Biometrika, 90, 935–951.
Wu, C. and Luan*, Y. (2003). Optimal Calibration Estimators Under Two-phase Sampling. Journal of Official Statistics, 19, 119–131.
Zhang*, S., Han, P. and Wu, C. (2023). Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference. International Statistical Review, 91, 165–192.
Wu, C. (2023). Calibration Techniques for Model-based Prediction and Doubly Robust Estimation. The Survey Statistician, 88, 86–93.
Wu, C. (2004). Combining Information From Multiple Surveys Through Empirical Likelihood Method. The Canadian Journal of Statistics, 32, 15–26.
Wu, C. (2004). Weighted Empirical Likelihood Inference. Statistics and Probability Letters, 66, 67–79.
Wu, C. and Rao, J.N.K. (2006). Pseudo Empirical Likelihood Ratio Confidence Intervals for Complex Surveys. The Canadian Journal of Statistics, 34, 359–375.
Fu, Y., Wang, X. and Wu, C. (2009). Weighted Empirical Likelihood Inference for Multiple Samples. Journal of Statistical Planning and Inference, 139, 1462–1473.
Rao, J.N.K. and Wu, C. (2009). Empirical Likelihood Methods. In Handbook of Statistics, Volume 29B, Sample Surveys: Inference and Analysis, editors: D. Pfeffermann and C.R. Rao, 189–207.
Rao, J.N.K. and Wu, C. (2010). Pseudo Empirical Likelihood Inference for Multiple Frame Surveys. Journal of the American Statistical Association, 105, 1494–1503.
Rao, J.N.K. and Wu, C. (2010). Bayesian Pseudo Empirical Likelihood Intervals for Complex Surveys. Journal of the Royal Statistical Society, Series B, 72, 533–544.
Zhao*, P. and Wu, C. (2019). Some Theoretical and Practical Issues with Empirical Likelihood Methods for Complex Surveys. International Statistical Review, 87, S239–256.
Zhao*, P., Ghosh, M., Rao, J.N.K. and Wu, C. (2020). Bayesian Empirical Likelihood Inference with Complex Survey Data. Journal of the Royal Statistical Society, Series B, 82, 155–174.
Zhao*, P., Rao, J.N.K. and Wu, C. (2020). Empirical Likelihood Inference with Public-Use Survey Data. Electronic Journal of Statistics, 14, 2484–2509.
Wu, C. and Thompson, M.E. (2020). Empirical Likelihood and Estimating Equations for Survey Data Analysis. Japanese Journal of Statistics and Data Science, 3, 565–581.
Zhao*, P., Haziza, D. and Wu, C. (2022). Sample Empirical Likelihood and the Design-based Oracle Variable Selection Theory. Statistica Sinica, 32, 435–457.
Chen, J., Sitter, R.R. and Wu, C. (2002). Using Empirical Likelihood Method to Obtain Range Restricted Weights in Regression Estimators for Surveys. Biometrika, 89, 230–237.
Wu, C. (2004). Some Algorithmic Aspects of the Empirical Likelihood Method in Survey Sampling. Statistica Sinica, 14, 1057–1067.
Wu, C. (2005). Algorithms and R Codes for the Pseudo Empirical Likelihood Method in Survey Sampling. Survey Methodology, 31, 239–243.
Wu, C. and Lu, W.W. (2016). Calibration Weighting Methods for Complex Surveys. International Statistical Review, 84, 79–98.
Chen, J., Thompson, M.E. and Wu, C. (2004). Estimation of Fish Abundance Indices Based on Scientific Research Trawl Surveys. Biometrics, 60, 116–123.
Wu, C., Thompson, M.E., Fong, G.T., Jiang, Y., Yan, Y., Feng, G. and Li, Q. (2010). Methods of the International Tobacco Control (ITC) China Survey. Tobacco Control, 19 (Suppl 2), i1–i5.
Wu, C., Thompson, M.E., Fong, G.T., Jiang, Y., Yang, Y., Feng, G. and Quah, A.C.K. (2015). Methods of the International Tobacco Control (ITC) China Survey: Waves 1, 2 and 3. Tobacco Control, 24 (Suppl 4), iv1–iv5. DOI: 10.1136/tobaccocontrol-2014-052025
Raina, P. et al. (2019). Cohort Profile: The Canadian Longitudinal Study on Aging (CLSA). International Journal of Epidemiology, 48, 1752–1753j. doi: 10.1093/ije/dyz173
Carrillo*, I.A., Chen, J. and Wu, C. (2010). The Pseudo-GEE Approach to the Analysis of Longitudinal Surveys. The Canadian Journal of Statistics, 38, 540–554.
Carrillo*, I.A., Chen, J. and Wu, C. (2011). Pseudo-GEE Approach to Analyzing Longitudinal Surveys under Imputation for Missing Responses. Journal of Official Statistics, 27, 255–277.
Chen*, Z., Yi, G.Y. and Wu, C. (2011). Marginal Methods for Correlated Binary Data with Misclassified Responses. Biometrika, 98, 647–662.
Chen*, Z., Yi, G. Y. and Wu, C. (2014). Marginal Analysis of Longitudinal Ordinal Data with Misclassification in Both Response and Covariates. Biometrical Journal, 56(1), 69–85.
Zhao*, J., Cook, R.J. and Wu, C. (2015). Multiple Imputation for the Analysis of Incomplete Compound Variables. The Canadian Journal of Statistics, 43, 240–264.
Chen*, M., Wu, C. and Thompson, M.E. (2015). An Imputation-based Empirical Likelihood Approach to Pretest-Posttest Studies. The Canadian Journal of Statistics, 43, 378–402.
Chen*, M., Wu, C. and Thompson, M.E. (2016). Mann-Whitney Test with Empirical Likelihood Methods for Pretest-Posttest Studies. Journal of Nonparametric Statistics, 28, 360–374.
Chen*, M., Thompson, M.E. and Wu, C. (2018). Empirical Likelihood Methods for Complex Surveys with Data Missing-by-Design. Statistica Sinica, 28, 2027–2048.
Chen*, Z., Mantel, H., Wu, C. and Yi, Y.Y. (2018). Regression Analysis of Binary Data from Complex Surveys with Misclassification in Ordinal Covariates. Statistics and Applications, 16, 105–122.
Zhang*, S., Han, P. and Wu, C. (2019). A Unified Empirical Likelihood Approach to Testing MCAR and Subsequent Estimation. Scandinavian Journal of Statistics, 46, 272–288.
Zhang*, S., Han, P. and Wu, C. (2019). Empirical Likelihood Inference for Non- randomized Pretest-Posttest Studies with Missing Data. Electronic Journal of Statistics, 13, 2012–2042.
She*, X. and Wu, C. (2019). Fully Efficient Joint Fractional Imputation for Incomplete Bivariate Ordinal Responses. Statistica Sinica, 29, 409–430.
She*, X. and Wu, C. (2020). Validity and Efficiency in Analyzing Ordinal Responses with Missing Observations. The Canadian Journal of Statistics, 48, 138–151.
Zhang*, S., Han, P. and Wu, C. (2020). A Multiply Robust Mann-Whitney Test for Non-randomized Pretest-Posttest Studies with Missing Data. Journal of Nonparametric Statistics, 32, 323–344.
So*, H.Y., Thompson, M.E. and Wu, C. (2020). Correlated and Misclassified Binary Observations in Complex Surveys. The Canadian Journal of Statistics, 48, 633–654.
Wu, C. and Xu, B. (2008). Deflator Selection and Generalized Linear Modelling in Market-based Regression Analysis. Applied Financial Economics, 18, 1739–1753.
Qin, Y.S., Rao, J.N.K. and Wu, C. (2010). Empirical Likelihood Confidence Intervals for the Gini Measure of Income Inequality. Economic Modelling, 27, 1429–1435.
Zhao*, P., Haziza, D. and Wu, C. (2020). Survey Weighted Estimating Equations Inferences With Nuisance Functionals. Journal of Econometrics, 216, 516–536.
Yuan*, M., Li, P. and Wu, C. (2023). Semiparametric Inference on Gini Indices of Two Semicontinuous Populations Under Density Ratio Models. The Econometrics Journal, 26, 174–188.
Zhao, P. and Wu, C. (2024). Augmented Two-Step Estimating Equations with Nuisance Functionals and Complex Surveys. The Econometrics Journal, 27, 37–61.
Wu, C. and Sitter, R.R. (2001). Variance Estimation for the Finite Population Distribution Function with Complete Auxiliary Information. The Canadian Journal of Statistics, 29, 289–307.
Thompson, M.E. and Wu, C. (2008). Simulation-based Randomized Systematic PPS Sampling Under Substitution of Units. Survey Methodology, 34, 3–10.
Wu, C. and Rao, J.N.K. (2010). Bootstrap Procedures for the Pseudo Empirical Likelihood Method in Sample Surveys. Statistics and Probability Letters, 80, 1472–1478.
Wu, C. and Yan*, Y. (2012). Empirical Likelihood Inference for Two-Sample Problems. Statistics and Its Interface, 5, 345–354.
Kim, J.K. and Wu, C. (2013). Sparse and Efficient Replication Variance Estimation for Complex Surveys. Survey Methodology, 39, 91–120.
Tan, Z. and Wu, C. (2015). Generalized Pseudo Empirical Likelihood Inferences for Complex Surveys. The Canadian Journal of Statistics, 43, 1–17.
Chen*, Y., Li, P. and Wu, C. (2020). Doubly Robust Inference with Non-probability Survey Samples. Journal of the American Statistical Association, 115, 2011–2021.
Kim, J.K., Park, S., Chen*, Y. and Wu, C. (2021). Combining Non-probability and Probability Survey Samples Through Mass Imputation. Journal of the Royal Statistical Society, Series A, 184, 941–963.
Chen*, Y., Li, P., Rao, J.N.K. and Wu, C. (2022). Pseudo Empirical Likelihood Methods for Non-probability Survey Samples. The Canadian Journal of Statistics, 50, 1166–1185.
Wu, C. (2022). Statistical Inference with Non-probability Survey Samples (with Discussion). Survey Methodology, 48, 283–311.
Chen*, Y., Li, P. and Wu, C. (2023). Dealing with Undercoverage for Non-probability Survey Samples. Survey Methodology, 49, 497–515.
Sitter, R.R. and Wu, C. (2001). A Note on Woodruff Confidence Intervals for Quantiles. Statistics and Probability Letters, 52, 353–358.
Tsao, M. and Wu, C. (2006). Empirical Likelihood Inference for a Common Mean in the Presence of Heteroscedasticity. The Canadian Journal of Statistics, 34, 45–59.
Yuan*, M., Li, P. and Wu, C. (2021). Semiparametric Inference of the Youden Index and the Optimal Cut-off Point under Density Ratio Models. The Canadian Journal of Statistics, 49, 965–986.
Yuan*, M., Li, P. and Wu, C. (2022). Semiparametric Empirical Likelihood Inference with General Estimating Equations under Density Ratio Models. Electronic Journal of Statistics, 16, 5321–5377.
