Welcome to amices


A place for people interested in solving missing data problems.

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  1. Van Buuren, S. (2018). Flexible Imputation of Missing Data. Second Edition.. Chapman & Hall/CRC. Boca Raton, FL.


  1. mice: Multivariate Imputation by Chained Equations
  2. ggmice: Visualizations for mice with ggplot2

Course materials

  1. Handling Missing Data in R with mice
  2. Statistical Methods for combined data sets


  1. Ad hoc methods and the MICE algorithm
  2. Convergence and pooling
  3. Inspecting how the observed data and missingness are related
  4. Passive imputation and post-processing
  5. Imputing multilevel data
  6. Sensitivity analysis with mice
  7. Generate missing values with ampute
  8. Combining inferences
  9. futuremice: Wrapper for parallel MICE imputation through futures
  10. Multivariate PMM for imputing multiple columns simultaneously
  11. Generating synthetic data with high utility using mice

Code from publications

  1. Flexible Imputation of Missing Data. Second edition.