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Evaluation of data imputation strategies in complex, deeply-phenotyped
  data sets: the case of the EU-AIMS Longitudinal European Autism Project

Evaluation of data imputation strategies in complex, deeply-phenotyped data sets: the case of the EU-AIMS Longitudinal European Autism Project

20 January 2022
A. Llera
M. J. Brammer
B. Oakley
J. Tillmann
M. Zabihi
T. Mei
Tony Charman
C. Ecker
Flavio DellÁcqua
T. Banaschewski
C. Moessnang
S. Baron-Cohen
R. Holt
S. Durston
D. Murphy
E. Loth
J. Buitelaar
D. Floris
Christian F. Beckmann
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Papers citing "Evaluation of data imputation strategies in complex, deeply-phenotyped data sets: the case of the EU-AIMS Longitudinal European Autism Project"

1 / 1 papers shown
Title
MissForest - nonparametric missing value imputation for mixed-type data
MissForest - nonparametric missing value imputation for mixed-type data
D. Stekhoven
Peter Buhlmann
177
4,222
0
04 May 2011
1