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Handbook of Missing Data Methodology
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Līdz Geert Molenberghs
Apraksts
This handbook presents many methodological advances and the latest applications of missing data methods in empirical research. It outlines a general taxonomy of missing data mechanisms and their implications for analysis and describes alternatives for estimating models when data are missing. The book covers a range of approaches that assess the
Handbook of Missing Data Methodology