Review and evaluation of imputation methods for multivariate longitudinal data with mixed-type incomplete variables

Cites Work

Unnamed Item
Unnamed Item
Analysis of variance -- why it is more important than ever. (With discussions and rejoinder)
Multiple imputation for multilevel data with continuous and binary variables
Quantifying the impact of fixed effects modeling of clusters in multiple imputation for cluster randomized trials
Bayesian inference for generalized linear mixed models
Fully conditional specification in multivariate imputation
The Calculation of Posterior Distributions by Data Augmentation
Inference and missing data
Statistical Analysis with Missing Data, Third Edition
Hierarchical imputation of systematically and sporadically missing data: An approximate Bayesian approach using chained equations
Multilevel models with multivariate mixed response types
A Potential for Bias When Rounding in Multiple Imputation
Random covariances and mixed-effects models for imputing multivariate multilevel continuous data
Flexible Imputation of Missing Data, Second Edition
The Impact of Missing Values on Different Measures of Uncertainty
Sensitivity analysis after multiple imputation under missing at random: a weighting approach
Plausibility of multivariate normality assumption when multiply imputing non-Gaussian continuous outcomes: a simulation assessment
Polychotomous quantal response by maximum indicant
Multiple imputation of incomplete zero-inflated count data
A review of hot deck imputation for survey non-response
A comparison of multiple-imputation methods for handling missing data in repeated measurements observational studies