Multiple Imputation (MI)

Multiple Imputation (MI)

• Hippel (2019): How many imputations do you need?
• SAS (2016): Survey Data Imputation with RPOC SURVEYIMPUTE
• A very good classic reference by Donald B. Rubin (1996). Multiple Imputation After 18+ Years
• Formula for Combining Results across the Multipe Imputed Datasets.
• Sterne (2009). Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
• Kenward (2007). Multiple imputation: current perspectives or full text here
• Graham (2007). How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory
• Books: 
• Applied Missing Data Analysis, see Google book as well.
• Applied Survey Data Analysis is one of my favorite books of complex sampling data analysis with a whole chapter about multiple imputation (Chapter 11). The way of teaching is very intuitive to an epidemiologist without much high level math background.
• Paul Allison: Multiple Imputation for Missing Data: A Cautionary Tale
• Multiple Imputation Online is not updated for a while, but this website is still have some useful linkages. It mentioned a few software for MI analyses; it doesn't include Stata, which is an my current first choice.
• SSCC: Multiple Imputation in Stata
• UCLA: Multiple Imputation in Stata
• Stata: How can I combine results other than coefficients in e(b) with multiply imputed data?
• Stata: Multiple imputation in Stata (2010) by Bill Rising. Multiple imputation using Stata’s mi command by Yulia Marchenko
• UCLA: How can I get margins and marginsplot with multiply imputated data?
• UCLA: How can I get margins for a multiply imputed survey logit model?
• Blog: Can 'margins' be used after 'mi estimate' for complex samplied data with 'svy' in Stata?
• Multiple Imputation FAQ by Joe Schafer
• SAS: Multiple Imputation for Missing Data