Data
2 Multiple Imputation

Workflow Documentation

Preface
Pre-data
- 1 Simulation
Data
- 2 Multiple Imputation
Post-data
Other
- 6 Caching
- 7 ggplot: Miscellaneous
References

Table of contents

2.1 Basic MI
2.2 MI for longitudinal data

Data
2 Multiple Imputation

2 Multiple Imputation

For multiple imputation, we use the package mice (Buuren and Groothuis-Oudshoorn 2011).

2.1 Basic MI

x

2.2 MI for longitudinal data

See (Wijesuriya et al. 2025)

Buuren, Stef van, and Karin Groothuis-Oudshoorn. 2011. “Mice: Multivariate Imputation by Chained Equations in r” 45: 1–67. https://doi.org/10.18637/jss.v045.i03.

Wijesuriya, Rushani, Margarita Moreno-Betancur, John B. Carlin, Ian R. White, Matteo Quartagno, and Katherine J. Lee. 2025. “Multiple Imputation for Longitudinal Data: A Tutorial.” Statistics in Medicine 44 (3-4). https://doi.org/10.1002/sim.10274.

3 Latent Class Analysis