Multiple imputation for nonignorable missing data
Sign Up to like & getrecommendations! Published in 2017 at "Journal of The Korean Statistical Society"
DOI: 10.1016/j.jkss.2017.05.001
Abstract: Multiple imputation is a popular technique for analyzing incomplete data. Missing at random mechanism is often assumed when multiple imputation is performed, assuming that the response mechanism does not depend on the missing variable. However,… read more here.
Keywords: respondents outcome; imputation; response; multiple imputation ... See more keywords
A real data-driven simulation strategy to select an imputation method for mixed-type trait data
Sign Up to like & getrecommendations! Published in 2023 at "PLOS Computational Biology"
DOI: 10.1101/2022.05.03.490388
Abstract: Missing observations in trait datasets pose an obstacle for analyses in myriad biological disciplines. Considering the mixed results of imputation, the wide variety of available methods, and the varied structure of real trait datasets, a… read more here.
Keywords: imputation method; trait; method; dataset ... See more keywords
A multiple phenotype imputation method for genetic diversity and core collection in Taiwanese vegetable soybean
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.948349
Abstract: Establishment of vegetable soybean (edamame) [Glycine max (L.) Merr.] germplasms has been highly valued in Asia and the United States owing to the increasing market demand for edamame. The idea of core collection (CC) is… read more here.
Keywords: diversity; vegetable soybean; core collection; imputation method ... See more keywords