CART algorithm directly to the (partially) incomplete data, (ii) complete case analysis, and (iii) multiple imputation … were missing completely at random. Overall, multiple imputation followed by CART resulted in the best performance. Our … study showed that automatic handling of missing data in CART can cause serious bias and does not outperform multiple …

Applications of multiple imputation have long outgrown the traditional context of dealing with item nonresponse in … cross-sectional datasets. Nowadays multiple imputation is also applied to impute missing values in hierarchical datasets … imputation approaches. The R package hmi tries to close some of these gaps. It offers multiple imputation routines in …

Applications of multiple imputation have long outgrown the traditional context of dealing with item nonresponse in … cross-sectional datasets. Nowadays multiple imputation is also applied to impute missing values in hierarchical datasets … imputation approaches. The R package hmi tries to close some of these gaps. It offers multiple imputation routines in …