References
Fundamental references for MICE methodology.
Core References
- Rubin, D. B. (1987)
Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons.
- Van Buuren, S., & Groothuis-Oudshoorn, K. (2011)
mice: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, 45(3), 1-67.
- Little, R. J., & Rubin, D. B. (2019)
Statistical Analysis with Missing Data (3rd ed.). Hoboken, NJ: John Wiley & Sons.
- Van Buuren, S. (2018)
Flexible Imputation of Missing Data (2nd ed.). Chapman & Hall/CRC Press. Available free online at https://stefvanbuuren.name/fimd/
Citing mice-py
If you use mice-py in your research, please cite:
@software{mice-py,
title = {mice-py: Multiple Imputation by Chained Equations in Python},
author = {Haensch, Anna-Carolina and Vu, The Anh and Lopuliak, Zhanna},
year = {2025},
url = {https://github.com/Zhanna-Lopuliak/mice-py},
version = {0.1.0}
}
And the original MICE paper:
@article{vanbuuren2011mice,
title = {mice: Multivariate Imputation by Chained Equations in R},
author = {Van Buuren, Stef and Groothuis-Oudshoorn, Karin},
journal = {Journal of Statistical Software},
volume = {45},
number = {3},
pages = {1--67},
year = {2011}
}