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Missing Data Analysis Using Multiple Imputation | Circulation: Cardiovascular Quality and Outcomes
Biomolecules | Free Full-Text | Exploring Computational Data Amplification and Imputation for the Discovery of Type 1 Diabetes (T1D) Biomarkers from Limited Human Datasets
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Full article: Comparison of multiple imputation and two-phase logistic regression to analyse two-phase case–control studies with rich phase 1: a simulation study
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Multiple imputation for analysis of incomplete data in distributed health data networks | Nature Communications
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Full article: Comparison of Performance of Data Imputation Methods for Numeric Dataset
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The multiple imputation (MI) process. In the first step missing data... | Download Scientific Diagram
Fire | Free Full-Text | Research and Application of Improved Multiple Imputation Based on R Language in Fire Prediction
Multiple imputation: a primer - Joseph L Schafer, 1999
Multiple Imputation for Missing Data: Definition, Overview - Statistics How To
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Comparison of methods for handling missing data on immunohistochemical markers in survival analysis of breast cancer | British Journal of Cancer
Missing Data in Clinical Research: A Tutorial on Multiple Imputation - ScienceDirect
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Multiple Imputation for Missing Data: Definition, Overview - Statistics How To
