micemd

An incomplete two-level dataset which consists of A/AS-level examination data from England

A simulated Individual Patient Data (IPD) meta-analysis with missing values.

Suggestion of conditional imputation models to use accordingly to the incomplete dataset

Imputation by a two-level logistic model based on a two-stage estimator

Imputation by a two-level heteroscedastic normal model based on a two-stage estimator

Predictive mean matching imputation for two-level variable

Imputation by a two-level Poisson model based on a two-stage estimator

Imputation of univariate missing data using a Bayesian logistic mixed model based on non-informative prior distributions

Imputation of univariate missing data using a Bayesian linear mixed model based on non-informative prior distributions

Imputation of count variable using a Bayesian mixed model based on non-informative prior distributions

Imputation of univariate missing data by a Bayesian multivariate generalized model based on conjugate priors

Parallel calculations for Multivariate Imputation by Chained Equations

Multiple Imputation by Chained Equations with Multilevel Data

Overimputation diagnostic plot

Graphical investigation for the number of generated datasets