On Inverse Probability Weighting for Nonmonotone Missing at Random Data

DOI10.1080/01621459.2016.1256814zbMath1398.62264arXiv1411.5310OpenAlexW2234325812WikidataQ90399070 ScholiaQ90399070MaRDI QIDQ4690964

Eric J. Tchetgen Tchetgen, Baoluo Sun

Publication date: 23 October 2018

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1411.5310

zbMATH Keywords

Bayesnonmonotone missing at random dataaugmented IPW

Mathematics Subject Classification ID

Censored data models (62N01)

Related Items (15)

Pattern graphs: a graphical approach to nonmonotone missing data ⋮ Semiparametric Inference for Nonmonotone Missing-Not-at-Random Data: The No Self-Censoring Model ⋮ Integrating Multisource Block-Wise Missing Data in Model Selection ⋮ Weighted multiple blockwise imputation method for high-dimensional regression with blockwise missing data ⋮ A calibrated Bayesian method for the stratified proportional hazards model with missing covariates ⋮ Diagnostic checking of multiple imputation models ⋮ On Semiparametric Instrumental Variable Estimation of Average Treatment Effects through Data Fusion ⋮ Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders ⋮ Nonparametric regression with nonignorable missing covariates and outcomes using bounded inverse weighting ⋮ Maximum likelihood estimation of missing data probability for nonmonotone missing at random data ⋮ Treatment effect identification using two-level designs with partially ignorable missing data ⋮ Estimation in zero-inflated binomial regression with missing covariates ⋮ Unified approach for regression models with nonmonotone missing at random data ⋮ Semiparametric model for regression analysis with nonmonotone missing data ⋮ Bayesian profiling multiple imputation for missing hemoglobin values in electronic health records

Uses Software

• BUGS
• MICE

Cites Work

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