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:

.. code-block:: bibtex

   @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:

.. code-block:: bibtex

   @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}
   }