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To evaluate our proposed approach, we provide selected implementation examples following the identified analytics objectives, including cross-domain analytics that focus on the interface between domains.
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Note that from here on we use subscript names to identify analytic quantities that pertain to a particular network model only.
These extracts were independently reviewed by all authors in order to identify analytic themes by observing patterns and outliers in the data [ 47].
Our use of investigator triangulation throughout the analytic process in order to collaboratively identify analytic themes and confirm interpretation adds to the trustworthiness, and thus overall rigour, of the analysis [ 26].
Having identified this analytic theme, we select segments of data relevant to different dimensions of the work process.
Actually, g may be identified with analytic functions which are even on (xinmathbb{R}), periodic in x, and quasi-periodic in t.
Their instantaneous kinematics and singularity analysis are addressed, too: all their singular configurations are identified through analytic and geometric conditions, whose static interpretation is given.
The sensitivity and specificity of BMI cut points can then be identified using analytic techniques such as receiver operating characteristic curves or rate of misclassification.
We identified four analytic domains of BOT for coding via team discussion based on literature (2, 8, 21) and feedback from other experts: access, administration, effects, and monitoring (see Table 1).
Using this approach, we identified an analytic cohort comprising 5,483 patients (84.2% of the preliminary cohort) with Medicare claims specifying the occurrence of cancer-directed surgical therapy (see Additional File 1).[ 7] We then applied a claims-based algorithm (defined a priori) to classify the specific type of surgical therapy received by each patient (see Additional File 3).
These three forms of perceptions of analytics identified in the study contribute to the theoretical understanding of the meaning and value of analytics in higher education sector.
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CEO of Professional Science Editing for Scientists @ prosciediting.com