Flexible Imputation of Missing Data, Second Edition Buuren Stef van TNO Quality of Life Leiden The Netherlands Pevná vazba
Flexible Imputation of Missing Data, Second Edition Buuren Stef van TNO Quality of Life Leiden The Netherlands Pevná vazba Missing data pose challenges to real-life data analysis. Multiple imputation…
Specifikacia Flexible Imputation of Missing Data, Second Edition Buuren Stef van TNO Quality of Life Leiden The Netherlands Pevná vazba
Flexible Imputation of Missing Data, Second Edition Buuren Stef van TNO Quality of Life Leiden The Netherlands Pevná vazba
Missing data pose challenges to real-life data analysis. Multiple imputation replaces each missing value by multiple plausible values. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice.
Each of the completed data set is then analyzed by standard methods, and the results are pooled to obtain unbiased estimates with correct confidence intervals. The variability between these replacements reflects our ignorance of the true (but missing) value. Multiple imputation is a general approach that also inspires novel solutions to old problems by reformulating the task at hand as a missing-data problem.This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author.