Multiple Imputation of Missing Values: Further Update of Ice, with an Emphasis on Categorical Variables

By Patrick Royston. 2009

456 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/998025c8a9586a7d6293f8994169299da38056dd

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Citations in the corpus

Multiple Imputation by Chained Equations (MICE): Implementation in Stata (2011, methodology): “…a possibly censored time to event and d the censoring indicator. van Buuren et al. (1999) suggest heuristically using t, log t and d. White and Royston (2009) showed that if the analysis model is a proportional hazards regression and there is just one binary predictor, an appropriate…”
Multiple imputation using chained equations: Issues and guidance for practice (2011, background): “In most cases, however, the use of dummy variables appears preferable [17].”
Preventing School Bullying: Should Schools Prioritize an Authoritative School Discipline Approach Over Security Measures? (2016, methodology): “Accordingly, we performed multiple imputation by chained equations to impute missing cases (Royston, 2009).”
The Effect of Transition Planning Participation and Goal-Setting on College Enrollment Among Youth With Autism Spectrum Disorders (2016, methodology): “Missing data on covariates were imputed 20 times using Stata’s Imputation by Chained Equations (ICE) procedure (Royston, 2004, 2005, 2007, 2009; Royston, Carlin, & White, 2009; White, Royston, & Wood, 2011).”
Flexible Imputation of Missing Data (2012, unknown): “(Zero-inflated) negative binomial regression (Royston, 2009)”
Neonatal abstinence syndrome and associated health care expenditures: United States, 2000-2009. (2012, methodology): “1 (STATA Corp) by using imputation by chained equations.(23) All charges were converted to 2009 US dollars using the medical consumer price index.”
Eviction’s Fallout: Housing, Hardship, and Health (2015, methodology): “To address missing data across all waves, we use Stata’s ICE command to execute multiple imputation (Royston 2009).”