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However, one of the points (pm M) is missing depending on whether (F_{12}gtrless 0) and (upsigma _1upsigma _2 upsigma _3=pm i).
On the first day of GRCD administration, 10%to12%2% of overnight data were missing and 15%to16%6% of daytime data were missing, depending on the item.
However, since we did not amplify complete cox 1 sequences, introns present at the beginning (the first 108 - 156 bp are missing, depending on the sequence) or at the end of the gene (the last 615 - 1074 bp) would not be detected by our study.
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In this scenario, the probability of missing depends on an unknown patient characteristic.
Where the probability that an observation is missing depends on information that is not observed, the data are MNAR (Schafer, 1997; Little and Rubin, 2002; Rubin, 2004).
In particular, because the probability of Y being missing depends on X2 X4, the relation between Y and X2 will be different in the two sets.
We also included situations with non-ignorable missingness, i.e., the percentage of missing depended on the value of the covariate.
The standard application of MI assumes that data are 'Missing at random' (MAR), meaning that the probability of data being missing depends on the observed data but not the missing data.
Rather, whether certain clinical variables (such as HIV status) were missing depended on other variables in the dataset (such as age and race), creating a "missing at random" pattern.
This assumes the data are either missing completely at random (MCAR), that is the missingness does not depend on observed or unobserved data, or are missing at random (MAR), where the probability of a value being missing depends on the observed but not unobserved data.
The application is hit or miss depending on where you happen to commit the crime and the attitude of the prosecutor in that county".
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