Multiple Imputation of Missing Values: Update of Ice
By Patrick Royston. 2005
1,074 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/90571a23c3f7dcb4b0df0a05bf11d634aca39c82
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In Artificial Intelligence
- Ian R. White
- S. van Buuren
- C. Galindo
- A. Jenkins
- Jason N. Houle
- Jennifer E. Mosley
- D. Kammerer
- C. Y. Peng
In Statistics and Probability
- Ian R. White
- S. Seaman
- S. van Buuren
- Patrick Royston
- C. Galindo
- C. Y. Peng
- Yiran Dong
- S. Sonnenschein
Citations in the corpus
- Decreasing the SES math achievement gap: Initial math proficiency and home learning environments (2015, methodology): “ICE handles complex data structures by fitting a sequence of chain equations to impute variables in order of increasing “missingness,” that is, the variable with the least missing values is imputed first and so on (Royston, 2005).”
- Multiple Imputation by Chained Equations (MICE): Implementation in Stata (2011, background): “As described by Royston (2005b), to satisfy the normality assumption for a continuous variable, a transformation toward normality may be effective.”
- Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2 (2008, methodology): “The imputation technique involves creating multiple copies of the data and replaces missing values with imputed values based on a suitable random sample from their predicted distribution. We used the ICE procedure in Stata”
- Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls (2009, background): “This is partly because statistical methods that can tackle problems arising from missing data have, until recently, not been readily accessible to medical researchers. However, multiple imputation—a relatively flexible, general purpose approach to dealing with missing data—is now available in standa”
- 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).”
- Why 'Good' Firms Do Bad Things: The Effects of High Aspirations, High Expectations and Prominence on the Incidence of Corporate Illegality (2010, methodology): “Following Jensen and Roy (2008), we employed multiple imputation using the “ice” command in Stata 9.2 (Royston, 2005a, 2005b) to impute values for governance variables with missing values.”
- Disparities in Debt (2014, methodology): “I average results across 10 imputation samples and account for random variation across samples to calculate standard errors (Royston 2005).”
- The effects of customer benefit and regulation on environmental product innovation.: Empirical evidence from appliance manufacturers in Germany (2009, methodology): “12 I created 10 data sets with the multiple imputation using the ice package (Royston, 2005) with Stata 9.2.”
- Export behaviour of SMEs in transition countries (2013, methodology): “For practical implementation of MI, we use the routines written for STATA (see Royston 2005a, b, 2007; Carlin et al. 2008).”
- Early Predictors of High School Mathematics Achievement (2012, background): “Additional supporting information may be found at http://pss.sagepub .com/content/by/supplemental-data”
- Inverse Probability Weighting with Missing Predictors of Treatment Assignment or Missingness (2014, methodology): “All missing values in missingness predictors were multiply imputed using the ice function (Royston, 2005) in STATA.”
- Institutionalization, Privatization, and Political Opportunity: What Tactical Choices Reveal About the Policy Advocacy of Human Service Nonprofits (2011, methodology): “Due to problems with item nonresponse (ranging from 1% to 16%), four independent variables used in this study were imputed using the multiple imputation by chained equations or ICE procedure, in conjunction with the Stata statistical package (Royston, 2004, 2005).”
- Parent Involvement and Children's Academic and Social Development in Elementary School (2010, methodology): “Missing data were imputed using multiple imputations by chained equations (ICE), which was implemented in Stata 10 (Royston, 2005).”