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The categorized data were presented with a table under the two themes: expected instructional objectives and obtained acquisitions.
A third researcher (MY) checked the categorized data; any data determined to have been misclassified were re-categorized based on the consensus of the three researchers.
Coded data was organized into themes and sub-themes and the researchers identified patterns within the categorized data at higher levels of abstraction, developing explanatory concepts to link the themes where possible.
If we focus on patient-relevant outcomes such as additional medication, adherence and adverse events only, disregarding surrogate outcomes or others, 67%% (12 out of 18 clinical outcome parameters for these three dimensions) of the categorized data on clinical outcomes remain in favour of our hypothesis of similar clinical effects.
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Once the data were categorized, the individual responses and the associated categorized data were exported for subsequent data analysis.
They then compare results, refined the coding and categorized data, and identified major themes.
Because the Poisson model requires categorized data and has a different likelihood than do the Cox models used elsewhere here, it is not possible to directly compare the goodness of fit between the Poisson EAR model and the Cox RR models.
The use of such pre-diagnostic and categorized data for the purpose of detecting disease outbreaks is sometimes known as syndromic surveillance.
Statistical analysis was done, using the χ2-test for all categorized data.
HM and ML independently reviewed the coding several times and categorized data to ensure exhaustion of codes.
Categorized data were tested by chi square.
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CEO of Professional Science Editing for Scientists @ prosciediting.com