STATO:0000522

multivariate imputation with chained equations

http://purl.obolibrary.org/obo/STATO_0000522

multivariate imputation with chained equations (MICE) is a type of data imputation which uses an algorithm devised by Stef van Buuren and Karin Groothuis-Oudshoorn

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entitybfo (1,011)
- occurrentbfo (268)
  - processbfo (267)
    - planned processobi (261)
      - data transformationobi (189)
        data imputation (5)
        multivariate imputation with chained equations

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class Information

definition source

MICE: Multivariate Imputation by Chained Equations in R by Stef van Buuren and Karin Groothuis-Oudshoorn. Journal of Statistical Software, http://www.stefvanbuuren.nl/publications/mice%20in%20r%20-%20draft.pdf

example of usage

https://www.r-bloggers.com/imputing-missing-data-with-r-mice-package/

has curation status

ready for release iao

R command

library(mice) miceMod <- mice(BostonHousing[, !names(BostonHousing) %in% "medv"], method="rf") # perform mice imputation, based on random forests.

STATO alternative term

MICE

term editor

Philippe Rocca-Serra

class Relations

Subclass of

data imputation