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Third, days with missing data are excluded.
Variables with missing data are listed.
The null hypothesis is that the missing data are MCAR.
Some implications for random sample sizes and missing data are also considered.
Thus, the Little's test revealed that the missing data are not entirely at random.
Some of appropriate strategies to treat the missing data are used (Honaker and King 2010).
M-step: The maximum likelihood function is maximized, considering that the missing data are known.
In this way, uncertainty in the predicted values of the missing data are addressed.
Samples with missing data are not shown.
Canonical sources of missing data are questionnaires.
Despite attempts to improve adherence, some missing data are expected.
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