Dealing with missing data: Key assumptions and methods for ...
(Briggs et al.,2003). Advantages: It can be used with any kind of statistical analysis and no special computational methods are required. Limitations: It can exclude a large fraction of the original sample. For example, suppose a data set with 1,000 people and 20 variables. Each of the variables has missing data on 5% of the cases,
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