Multiple imputation of maritime search and rescue data at multiple missing patterns.

ABSTRACT: Based on the missing situation and actual needs of maritime search and rescue data, multiple imputation methods were used to construct complete data sets under different missing patterns. Probability density curves and overimputation diagnostics were used to explore the effects of multiple imputation. The results showed that the Data Augmentation (DA) algorithm had the characteristics of high operation efficiency and good imputation effect, but the algorithm was not suitable for data imputation when there was a high data missing rate. The EMB algorithm effectively restored the distribution of datasets with different data missing rates, and was less affected by the missing position; the EMB algorithm could obtain a good imputation effect even when there was a high data missing rate. Overimp

SUBMITTER: Wang G 

PROVIDER: S-EPMC8213137 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature