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Auxiliary variables are variables within the original data that are not included in the analysis, but are correlated to the variables of interest or help to keep the missing process random [MAR: [ 1].
We also consider the missing values to be outcome-dependent and not ignorable, and perform sensitivity analysis by selection modeling and jointly model the longitudinal smoking status and the missing process.
Then, since the proposed method directly derives the inverse map of the missing process of the high-frequency components, we do not rely on their assumptions.
The well-to-tank efficiency ranges from a low of 8% in one version of the third regeneration scheme to as high as 37% in the second scheme if the missing process steps were to have no impact on efficiency.
However, when the missing process is jointly modeled with the repeated outcome measures, various parameter values may come to the same likelihood.
Nevertheless, we cannot exclude the possibility that unobserved level of disability in our example may influence a part of the missing process.
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Missing processes (photoperiod dependency in flowering, crop:weed competition for nitrogen) and inadequately predicted scenarios (weed dynamics in untilled fields, floras with summer-emerging species) were identified.
The functional reliability of a technical solution cannot be verified because of missing processes and the lack of communication involved in the first step.
Most catfish in which an intercalarium is present show reduced or missing processes of the intercalarium [9].
This is likely to reflect some combination of the model missing processes that might affect crown radius (e.g. soil type); and measurement error for crown radius, both of which are included implicitly in the parameters that govern unexplained variation.
Animals with missing soma or missing processes are considered as degenerating.
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