Difference between revisions of "File:Fig4 Beaulieu-JonesJMIRMedInfo2018 6-1.png"

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Description	Figure 4. Imputation accuracy measured by root mean square error (RMSE) across simulations 1-3. (A) Missing completely at random (MCAR). (B) Missing at random (MAR). (C) Missing not at random (MNAR). FI: fancyimpute; KNN: k-nearest neighbors; MICE: Multivariate Imputation by Chained Equations; pmm: predictive mean matching; RF: random forest; SVD: singular value decomposition.
Source	Beaulieu-Jones, B.K.; Lavage, D.R.; Snyder, J.W.; Moore, J.H.; Pendergrass, S.A.; Bauer, C.R. (2018). "Characterizing and managing missing structured data in electronic health records: Data analysis". JMIR Medical Informatics 6 (1): e11. doi:10.2196/medinform.8960.
Date	2018
Author	Beaulieu-Jones, B.K.; Lavage, D.R.; Snyder, J.W.; Moore, J.H.; Pendergrass, S.A.; Bauer, C.R.
Permission (Reusing this file)	Creative Commons Attribution 4.0 International
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+==Summary==
+{{Information
+|Description='''Figure 4.''' Imputation accuracy measured by root mean square error (RMSE) across simulations 1-3. '''(A)''' Missing completely at random (MCAR). '''(B)''' Missing at random (MAR). '''(C)''' Missing not at random (MNAR). FI: fancyimpute; KNN: k-nearest neighbors; MICE: Multivariate Imputation by Chained Equations; pmm: predictive mean matching; RF: random forest; SVD: singular value decomposition.
+|Source={{cite journal |title=Characterizing and managing missing structured data in electronic health records: Data analysis |journal=JMIR Medical Informatics |author=Beaulieu-Jones, B.K.; Lavage, D.R.; Snyder, J.W.; Moore, J.H.; Pendergrass, S.A.; Bauer, C.R. |volume=6 |issue=1 |pages=e11 |year=2018 |doi=10.2196/medinform.8960}}
+|Author=Beaulieu-Jones, B.K.; Lavage, D.R.; Snyder, J.W.; Moore, J.H.; Pendergrass, S.A.; Bauer, C.R.
+|Date=2018
+|Permission=[http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International]
+}}
 == Licensing ==
 {{cc-by-4.0}}