Selecting the model for multiple imputation of missing data: Just use an IC!

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Bibliographic Details
Title: Selecting the model for multiple imputation of missing data: Just use an IC!
Authors: Noghrehchi F; Discipline of Biomedical Informatics and Digital Health, The University of Sydney, Sydney, New South Wales, Australia., Stoklosa J; School of Mathematics and Statistics, The University of New South Wales, Sydney, New South Wales, Australia.; Evolution and Ecology Research Centre, The University of New South Wales, Sydney, New South Wales, Australia., Penev S; School of Mathematics and Statistics, The University of New South Wales, Sydney, New South Wales, Australia., Warton DI; School of Mathematics and Statistics, The University of New South Wales, Sydney, New South Wales, Australia.; Evolution and Ecology Research Centre, The University of New South Wales, Sydney, New South Wales, Australia.
Source: Statistics in medicine [Stat Med] 2021 May 10; Vol. 40 (10), pp. 2467-2497. Date of Electronic Publication: 2021 Feb 24.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0258 (Electronic) Linking ISSN: 02776715 NLM ISO Abbreviation: Stat Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1097-0258
DOI:10.1002/sim.8915