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Exact(3)
The criterion of completeness requires that the propositions and methods used to accomplish a task be completely and clearly disclosed using standard terminology.
As for the criterion of completeness, we propose a corpus-based approach; each preliminary designed feature-based semantic relation system should be tested and verified by a large set of real data from corpora.
The criterion of completeness can thus be employed to answer Question #2 regarding the construct to be measured; for example, does the item reflect the experience of depression or PTSD.
Similar(57)
We will apply the CART framework, where evidence is judged on the criteria of Completeness, Accuracy, Relevance and Timeliness.
For the analysis according to the criteria of completeness of documentation and relevance for the practice of intensive care we chose patients' characteristics and characteristics of the intensive care unit (as listed above).
The main analyses will include all trials that fulfill the previous inclusion criteria, regardless of completeness of follow-up.
Also we shall prove a criterion for completeness of a cone metric space over a solid vector space.
All patients who fulfilled pre-specified criteria for completeness of Hb and dosing data were included in the DCR analysis: i.e., those who had received DA or PEG-Epo as the only ESA in the 1 month prior to and during the pre- or post-switch EPs, respectively, and who had dosing information and at least 1 Hb value in each of the evaluation periods.
The selection of the case to be described has been based on the criteria of data completeness.
The quality of evidence found was assessed using the Quality Matrix (QM) instruments [ 27] for five types of evidence (clinical, patient reported outcomes, epidemiological, economic and budget impact analysis) and for two criteria of quality ("completeness and consistency of reporting" and "relevance and validity of evidence").
Evaluation of data quality involved the floor and ceiling effect (i.e. the percentage of patients scoring the highest or lowest possible score, where the lowest possible percentage is considered an acceptable criterion) and completeness of data (i.e. percentage of items and scales completed, where 90 95 % is considered an acceptable criterion).
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