Partial and latent ignorability in missing-data problems
From MaRDI portal
Publication:3613151
DOI10.1093/biomet/asn069zbMath1162.62095OpenAlexW2162454853MaRDI QIDQ3613151
Publication date: 11 March 2009
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biomet/asn069
Applications of statistics to biology and medical sciences; meta analysis (62P10) Survival analysis and censored data (62N99)
Related Items (16)
Using missing types to improve partial identification with application to a study of HIV prevalence in Malawi ⋮ Multiple imputation in three or more stages ⋮ Item selection by latent class-based methods: an application to nursing home evaluation ⋮ Treatment effect identification using two-level designs with partially ignorable missing data ⋮ Imputation and low-rank estimation with missing not at random data ⋮ Latent ignorability and item selection for nursing home case-mix evaluation ⋮ Bayesian Nonparametrics for Missing Data in Longitudinal Clinical Trials ⋮ Bayesian approaches for missing not at random outcome data: the role of identifying restrictions ⋮ Partially hidden multi-state modelling of a prolonged disease state defined by a composite outcome ⋮ A Semiparametric Bayesian Approach to Dropout in Longitudinal Studies With Auxiliary Covariates ⋮ Sequential imputation for models with latent variables assuming latent ignorability ⋮ Inferences on the Outfluence – How do Missing Values Impact Your Analysis? ⋮ A two-part mixed-effects pattern-mixture model to handle zero-inflation and incompleteness in a longitudinal setting ⋮ A Note on MAR, Identifying Restrictions, Model Comparison, and Sensitivity Analysis in Pattern Mixture Models with and without Covariates for Incomplete Data ⋮ Latent class regression: Inference and estimation with two-stage multiple imputation ⋮ What is meant by ``missing at random?
This page was built for publication: Partial and latent ignorability in missing-data problems
