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R: Regression With Multiple Imputation (missing data handling)
How best to treat missing data in linear regression analysis? The current view is that multiple imputation by chained equations (mice) is one of the best ways for missing data handling in regression. This multiple imputation tutorial is going to show you how to use the mice package in R to analyze datasets with missing data (MCAR, MAR) in a ...
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