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Almost all studies have some missing observations. Yet textbooks and software commonly assume that data are complete, and the topic of how to handle missing data is not often discussed outside statistics journals. There are many types of missing data and different reasons for data being missing. Both issues affect the analysis. Some examples are:
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Altman et al. (2007) studied this question.
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