We provide a review on the empirical likelihood method for regression-type inference
problems. The regression models considered in this review include parametric …

Due to recent theoretical findings and advances in statistical computing, there has been a
rapid development of techniques and applications in the area of missing data analysis …

Fractional imputation (FI) is a relatively new method of imputation for handling item
nonresponse in survey sampling. In FI, several imputed values with their fractional weights …

Doubly robust estimators are widely used in missing-data analysis. They provide double
protection on estimation consistency against model misspecifications. However, they allow …

We develop an empirical likelihood (EL) inference on parameters in generalized estimating
equations with nonignorably missing response data. We consider an exponential tilting …

Quantile estimation has attracted significant research interest in recent years. However,
there has been only a limited literature on quantile estimation in the presence of incomplete …

Data integration combining a probability sample with another nonprobability sample is an
emerging area of research in survey sampling. We consider the case when the study …

Inverse probability weighting (IPW) and multiple imputation are two widely adopted
approaches dealing with missing data. The former models the selection probability, and the …

The most common way for treating item non‐response in surveys is to construct one or more
replacement values to fill in for a missing value. This process is known as imputation. We …

Supplement to the paper:“Two-step semiparametric empirical likelihood inference”. The
supplement contains four appendices: Appendix A gathers all the proofs for the examples …