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The inclusion criteria were completeness (lack of missing data), sampling distribution (normality was checked before correlations were calculated), and comparability with accepted data values based on established clinical criteria (where available) or data from previous studies.
It can also serve as a resource when considering which criteria to include in sound multicriteria approaches (i.e., fulfilling principles of completeness, lack of redundancy, mutual independence, operationalizability and clustering).
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The problem with enumerations is that they do not provide a measure of completeness and lack a conceptual model of how the requirements relate to each other and to the system.
When a pathway has low completeness or lacks sufficient annotations, the predictions would have large deviations.
Despite the fact that there were a large number of databases containing chemical compounds and data available online their inherent quality, accuracy and completeness was lacking in many regards.
Thus, statecharts still lack completeness to model system compositions.
The remainder of this paper is organized as follows: Section 2 presents a discussion on why statecharts lack completeness to clearly represent system interactions.
Most of the TB data come from health institution-based case notifications that often lack completeness and consistency [ 5].
It has been shown that mandatory notification systems lack completeness (of unknown magnitude) and representativeness, and overrepresent hospitalized case-patients (6 ), leading to unequal probability of being included in a sample (catchability) (7 ) of dengue cases.
However, issues with the reporting time frame, completeness of data, lack of medical confirmation, and the ability to accurately define the numerator and denominator at risk (i.e. number of subjects experiencing events as a proportion of total number of subjects) mean that different or additional approaches may be more appropriate for the post-approval, non-prespecified group.
The public sector health management information system (HMIS) system lacks completeness, authenticity and therefore needs complete revamping.
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CEO of Professional Science Editing for Scientists @ prosciediting.com