An imputation approach that estimates missing values based on predicted values generated by a regression model. The regression model is based on known variables for the missing unit of observation and requires that all values used as predictors are complete cases for the variables used in the regression.
Little, R. and D.B. Rubin. 2002. Statistical Analysis with Missing Data, Hoboken, New Jersey: John Wiley & Sons, Inc..
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