Investigation of the Multiple Imputation Method in Different Missing Ratios and Sample Sizes
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Tarih
2019
Yazarlar
Dergi Başlığı
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Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In many studies, missing data are the real trouble to researchers. Because the statistical methodsare designed for complete data sets. Multiple imputation method is developed to solve themissing data problem. The method is also used effectively in some useful properties of theBayes method. If there are missing values in the data set, Bayesian method can be used toprevent the loss of information. In this study, the performance of the multiple imputationmethod is evaluated by generating survival data with different missing rates and differentsample sizes. Also, informative priors and multiple imputation method are used together toprevent the missing information in the variable with missing value.
Açıklama
Anahtar Kelimeler
İstatistik ve Olasılık
Kaynak
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
23
Sayı
4
