Methods for handling missing data
Abstract
Chapter 14 is devoted to the description of various models and methods for handling missing data. First, I supply the mathematical definitions of three missing-data mechanisms: missing completely at random (MCAR), missing at random (MAR), and missing not at random (MNAR). While MCAR and MAR are ignorable, MNAR cannot be ignored in performing longitudinal data analysis. Next, a variety of methods handling missing at random are introduced, including some simplistic approaches (such as list-wise deletion, mean substitution, and hot deck imputation), the last observation carried forward approach, and multiple imputations. Lastly, three statistical models for handling MNAR are delineated: the two-step ...
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