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Multiple Imputation and Its Application (Statistics in Practice)
Multiple Imputation and Its Application - Statistics in Practice Author:James Carpenter Imputation is the substitution of some value for a missing data point or a missing component of a data point. Once all missing values have been imputed, the dataset can then be analysed using standard techniques for complete data. This book is written with three main aims; to provide a thorough introduction to the general MI methods, to provide... more » a detailed discussion of the practical use of the MI method and to present real-world examples drawn from the field of biostatistics. Illustrated throughout, using different issues that arise in the use of MI in observational and clinical trial settings. Relevant computer code and data will be provided for the examples used throughout the book and will include SAS, Stata, WinBUGS, MLwiN and R.« less