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

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  • Oya Kalaycioglu
  • Andrew Copas
  • Michael King
  • Rumana Z. Omar

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  • Oya Kalaycioglu & Andrew Copas & Michael King & Rumana Z. Omar, 2016. "A comparison of multiple-imputation methods for handling missing data in repeated measurements observational studies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 683-706, June.
    • Handle: RePEc:bla:jorssa:v:179:y:2016:i:3:p:683-706
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    File URL: http://hdl.handle.net/10.1111/rssa.12140
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    References listed on IDEAS

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    1. Patrick Royston, 2005. "Multiple imputation of missing values: update," Stata Journal, StataCorp LLC, vol. 5(2), pages 188-201, June.
    2. Patrick Royston, 2005. "Multiple imputation of missing values: Update of ice," Stata Journal, StataCorp LLC, vol. 5(4), pages 527-536, December.
    3. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    4. Carpenter, James R. & Goldstein, Harvey & Kenward, Michael G., 2011. "REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i05).
    5. Carrigan, Gretchen & Barnett, Adrian G. & Dobson, Annette J. & Mishra, Gita, 2007. "Compensating for Missing Data from Longitudinal Studies Using WinBUGS," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 19(i07).
    6. Patrick Royston, 2005. "MICE for multiple imputation of missing values," United Kingdom Stata Users' Group Meetings 2005 02, Stata Users Group.
    7. Garrett M. Fitzmaurice, 2003. "Methods for Handling Dropouts in Longitudinal Clinical Trials," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(1), pages 75-99, February.
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