"Evaluation of data imputation strategies in complex, deeply-phenotyped ..."

Alberto Llera et al. (2022)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2023-02-09

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2201-09753
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  - https://dblp.org/rec/journals/corr/abs-2201-09753
Alberto Llera, Mick Brammer, Bethany Oakley, Julian Tillmann, M. Zabihi, T. Mei, Tony Charman, Christine Ecker, Flavio Dell'Acqua, Tobias Banaschewski, C. Moessnang, Simon Baron-Cohen, R. Holt, S. Durston, D. Murphy, Eva Loth, Jan K. Buitelaar, D. L. Floris, Christian F. Beckmann:
Evaluation of data imputation strategies in complex, deeply-phenotyped data sets: the case of the EU-AIMS Longitudinal European Autism Project. CoRR abs/2201.09753 (2022)

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