MULTIPLE IMPUTATION FOR MULTILEVEL DATA WITH CONTINUOUS AND BINARY VARIABLES

@inproceedings{Audigier2017MULTIPLEIF,
  title={MULTIPLE IMPUTATION FOR MULTILEVEL DATA WITH CONTINUOUS AND BINARY VARIABLES},
  author={Vincent Audigier and Ian R. White and Shahab Jolani and Thomas P A Debray and Matteo Quartagno and James Carpenter and Stef van Buuren and Matthieu Resche-Rigon},
  year={2017}
}
2-Université Paris Diderot Paris 7, Sorbonne Paris Cité, UMR-S 1153, Paris, France 3-INSERM, UMR 1153, Equipe ECSTRA, Hôpital Saint-Louis, Paris 4-MRC Biostatistics Unit, Cambridge Institute of Public Health, U.K 5-MRC Clinical Trials Unit at UCL, London, U.K 6-Department of Methodology and Statistics, School of Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands 7-Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The… CONTINUE READING

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Supplement to “Multiple imputation for multilevel data with continuous and binary variables.

  • V. AUDIGIER, I. R. WHITE, +5 authors M. RESCHE-RIGON
  • 2018

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