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 …

We consider identifiability and estimation in a generalized linear model in which the
response variable and some covariates have missing values and the missing data …

To estimate unknown population parameters based on data having nonignorable missing
values with a semiparametric exponential tilting propensity, assumed that the tilting …

We consider identification and estimation with an outcome missing not at random (MNAR).
We study an identification strategy based on a so-called shadow variable. A shadow …

In database of recommender systems, users' ratings for most items are usually missing,
resulting in selection bias when users selectively choose items to rate. To address this …

Nonignorable missing data are frequently encountered in various settings, such as
economics, sociology and biomedicine. We review statistical inference for nonignorable …

This article examines the problem of estimation in a quantile regression model when
observations are missing at random under independent and nonidentically distributed …

Sample surveys provide data used by researchers in a large range of disciplines to analyze
important relationships using well-established and widely used likelihood methods. The …

We consider identification and inference about mean functionals of observed covariates and
an outcome variable subject to non-ignorable missingness. By leveraging a shadow …