A comparison of multiple-imputation methods for handling missing data in repeated measurements observational studies-Reference-Cited by-同舟云学术

A comparison of multiple-imputation methods for handling missing data in repeated measurements observational studies

Published:2015-10-15 Issue:3 Volume:179 Page:683-706
ISSN:0964-1998
Container-title:Journal of the Royal Statistical Society: Series A (Statistics in Society)
language:en
Short-container-title:J. R. Stat. Soc. A

Author:

Kalaycioglu Oya¹²,Copas Andrew³,King Michael¹,Omar Rumana Z.¹

Affiliation:

1. University College London; UK

2. Abant Izzet Baysal University; Bolu Turkey

3. Medical Research Council Clinical Trials Unit; London UK

Funder

Ministry of National Education of Turkey

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/rssa.12140/fullpdf

Reference36 articles.

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3. van Buuren , S. Oudshoorn , K. G. 2000 Multivariate imputation by chained equations: MICE V1.0 user's manual Report PG/VGZ/00.038 http://web.inter.nl.net/users/S.van.Buuren/mi/docs/Manual.pdf

4. MICE: Multivariate imputation by chained equations in R;van Buuren;J. Statist. Softwr.,2011

5. Multiple imputation using MLwiN;Carpenter;Multilev. Modllng Newslett.,2005

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