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Statistical Inference for Complex Surveys with Missing Observations (Publications)

Chen, S and Haziza, D. (2015). Multiply robust imputation procedures for the treatment of item nonresponse in surveys. Under revision for Biometrika.
HAZIZA, D. & BEAUMONT, J.F. (2017). Construction of weights in surveys: a review. To appear in Statistical Science.
CHEN, S. & HAZIZA, D. (2017). Multiply robust imputation procedures for the treatment of item nonresponse in surveys. To appear in Biometrika.
SHE, X. and WU, C. (2015). Analysis of Ordinal Survey Responses with Missing Values. Proceedings of the Survey Methods Section of SSC, Halifax, 1-8.
SHE, X. (2016). Fully Efficient Joint Fractional Imputation for Incomplete Bivariate Ordinal Responses. Proceedings of the Survey Methods Section of SSC, St. Catherines, 1-10.
SHE, X. and WU, C. (2016). Validity and Efficiency in Analyzing Ordinal Responses with Missing Observations. Under revision for Biometrika.
SHE, X. (2016). Fully Efficient Joint Fractional Imputation for Incomplete Bivariate Ordinal Responses with Missing Observations. Under review by Statistica Sinica.
SHE, X. (2016). Fractional Imputation for Ordinal and Mixed-type Responses with Missing Observations. Doctoral Dissertation, Department of Statistics and Actuarial Science, University of Waterloo.
RAO, J.N.K. and WU, C. (2016). Empirical Likelihood Inference with Public-Use Survey Data. Under revision for Biometrika.
ZHAO, P., HAZIZA, D. & WU, C. (2016). Empirical Likelihood Inference for Complex Surveys and the Design-based Oracle Variable Selection Theory. Submitted to the Annals of Statistics.
CHEN, S. & HAZIZA, D. (2017). Multiply robust nonparametric multiple imputation for the treatment of missing data. Submitted to Biometrika.
LEFEBVRE, I. (2016) Estimation simplifiée de la variance pour des plans complexes. Master’s thesis, Department of mathematics and statistics, Université de Montréal.
CARDOT, H., DE MOLINER, A., and GOGA, C. (2017). Estimating a mean electricity consumption curve in the presence of missing data using survey sampling techniques. To be submitted to the special issue of the Canadian Journal of Statistics.
CHEN, S. & HAZIZA, D. (2017). Multiply robust imputation procedures for zero-inflated distributions in surveys. Invited paper for a special issue of Metron.
ZHAO, P., GHOSH, M., RAO, J.N.K. and WU, C. (2017). Bayesian Empirical Likelihood Inference With Complex Survey Data. Invited for a re-submission by Journal of the Royal Statistical Society B.
CARDOT, H., DE MOLINER, A., and GOGA, C. (2017). Estimating a mean electricity consumption curve in the presence of missing data using survey sampling techniques. In revision for the special issue of the Canadian Journal of Statistics.
LEFEBVRE, I. (2016) Estimation simplifiée de la variance pour des plans complexes. Master’s thesis, Department of mathematics and statistics, Université de Montréal.

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