Aplikasi metode bicluster-based robust least square estimation dengan principal components pada imputasi missing value data ekspresi gen = Missing value imputation for microarray data using bicluster-based robust least squares estimation with principal components

Analisis Reduksi Komponen Uji Klinis Dan Imputasi Missing Value pada Data Uji Klinis Menggunakan Metode Principal Component Analysis (PCA) pada Studi Kasus Demensia = Analysis of Clinical Trial Component Reduction and Missing Value Imputation in Clinical Trial Data Using Principal Component Analysis (PCA) Method in Dementia Case Study

Imputasi ganda dengan metode predictive mean matching pada data numerik = Multiple imputation with predictive mean matching method on numeric data

Metode Bicluster Berbasis k-Nearest Neighbors dan Robust Least Squares Estimation menggunakan Principal Components (bi-KNNRLSP) untuk imputasi Missing values pada Data Ekspresi Gen = Missing values Imputation for Microarray Data Using Bicluster-Based k-Nearest Neighbors and Robust Least Squares Estimation with Principal Components (bi-KNN-RLSP)

Implementasi algoritma expectation maximization untuk menangani missing value pada model regresi = A study of imputation methods for missing value with regression model