A tractable method to account for high-dimensional nonignorable missing data in intensive longitudinal data
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Publication:6627445
DOI10.1002/sim.8560zbMATH Open1546.62884MaRDI QIDQ6627445
Donald Hedeker, Chengbo Yuan, Robin J. Mermelstein, Hui Xie
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
sensitivity analysismissing datalinear mixed effects modelnonignorabilitynonlinear sensitivity index
Cites Work
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- An Application of a Mixed-Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) Data
- Handling attrition in longitudinal studies: the case for refreshment samples
- Ignorability and coarse data
- Conditional and marginal models: another view (with comments and rejoinder)
- Local sensitivity approximations for selectivity bias
- Adjusting for nonignorable missingness when estimating generalized additive models
- Sensitivity Analysis for Nonrandom Dropout: A Local Influence Approach
- Multiple Imputation for Missing Values through Conditional Semiparametric Odds Ratio Models
- Missing Data in Longitudinal Studies
- Estimation of Regression Models for the Mean of Repeated Outcomes Under Nonignorable Nonmonotone Nonresponse
- Inference and missing data
- Analysis of Longitudinal Data with Non-Ignorable Non-Monotone Missing Values
- Marginal models for the analysis of longitudinal measurements with nonignorable non-monotone missing data
- Combining Panel Data Sets with Attrition and Refreshment Samples
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- Modeling the Drop-Out Mechanism in Repeated-Measures Studies
- Latent trait shared-parameter mixed models for missing ecological momentary assessment data
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