Empirical likelihood method for non-ignorable missing data problems
From MaRDI portal
Publication:2397796
DOI10.1007/s10985-016-9381-0zbMath1396.62059OpenAlexW2522347853WikidataQ31131787 ScholiaQ31131787MaRDI QIDQ2397796
Publication date: 23 May 2017
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10985-016-9381-0
semiparametric modelempirical likelihoodsurvey samplingconstrained estimationnon-ignorable missing data
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)
Related Items (5)
Robust inference for estimating equations with nonignorably missing data based on SIR algorithm ⋮ Unnamed Item ⋮ Doubly robust augmented-estimating-equations estimation with nonignorable nonresponse data ⋮ Adaptive empirical likelihood estimation with nonignorable nonresponse data ⋮ Weighted empirical likelihood for quantile regression with non ignorable missing covariates
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Oracle, multiple robust and multipurpose calibration in a missing response problem
- Empirical distributions in selection bias models
- Nonparametric estimation in the presence of length bias
- Empirical likelihood inference in linear regression with nonignorable missing response
- Generalizations of ancillarity, completeness and sufficiency in an inference function space
- Jackknife empirical likelihood inference with regression imputation and survey data
- Semiparametric estimation of treatment effect in a pretest-posttest study with missing data (with comments and rejoinder)
- Parametric Models for Response-Biased Sampling
- Bounded, efficient and doubly robust estimation with inverse weighting
- Analysis of multivariate missing data with nonignorable nonresponse
- Robust estimation of distribution functions and quantiles with non-ignorable missing data
- Propensity score adjustment with several follow-ups
- Estimating Equations Inference With Missing Data
- Empirical likelihood and quantile regression in longitudinal data analysis
- An efficient empirical likelihood approach for estimating equations with missing data
- Semiparametric model-based inference in the presence of missing responses
- Methodology and Algorithms of Empirical Likelihood
- Adjusting for nonresponse bias using logistic regression
- Empirical likelihood ratio confidence intervals for a single functional
- Models for Nonresponse in Sample Surveys
- Regression Analysis Under Non-standard Situations: A Pairwise Pseudolikelihood Approach
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- Empirical likelihood estimation for finite populations and the effective usage of auxiliary information
- Projection as a method for increasing sensitivity and eliminating nuisance parameters
- Empirical-Likelihood-Based Inference in Missing Response Problems and Its Application in Observational Studies
- An instrumental variable approach for identification and estimation with nonignorable nonresponse
- A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data
- Estimation with missing data: beyond double robustness
- An Optimum Property of Regular Maximum Likelihood Estimation
This page was built for publication: Empirical likelihood method for non-ignorable missing data problems
