TY - JOUR
AU - Berrington, Ann
AB - Item nonresponse in survey data can pose significant problems for social scientists carrying out statistical modeling using a large number of explanatory variables. A number of imputation methods exist but many only deal with univariate imputation, or relatively simple cases of multivariate imputation, often assuming a monotone pattern of missingness. In this paper we evaluate a tree-based approach for multivariate imputation using real data from the 1970 British Cohort Study, known for its complex pattern of nonresponse. The performance of this tree-based approach is compared to mode imputation and a sequential regression based approach within a simulation study.
TI - Evaluating a sequential tree-based procedure for multivariate imputation of complex missing data structures
JF - Quality & Quantity
DO - 10.1007/s11135-011-9638-3
DA - 2011-12-09
UR - https://www.deepdyve.com/lp/springer-journals/evaluating-a-sequential-tree-based-procedure-for-multivariate-Ku4MGbWjGq
SP - 1991
EP - 2008
VL - 47
IS - 4
DP - DeepDyve
ER -