Good morning
There also seems to be a consensus among the experts that if auxiliary' variables are added to the imputation model, in addition to the covariates in the analysis model, missingness may be better explained, and the MAR assumption may become more plausible
References
- Graham JW. Missing Data. Analysis and Design. Series: Statistics for Social and Behavioral Sciences.2012. Springer New York.
- van Buuren S, Flexible Imputation of Missing Data (2012), Chapman & Hall/CRC
- White, I.R., Royston, P., and Wood, A.M. (2011). Multiple imputation using chained equations: Issues and guidance for practice. Statistics in Medicine 30:377-399.
扫码加好友，拉您进群
全部版块
我的主页
收藏
