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Difficulties in collecting data were explored and solutions developed.
Alternative ways of describing the data were explored and the SpO2 data were later plotted in the form of frequency histograms of the percentage of SpO2 readings at each saturation.
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That is, data is explored and sifted in a computer's memory almost instantly as opposed to having to retrieve information from a storage disk, which delays the response.
Based on this code-decode guide the free text data are explored and re-categorized if necessary.
The statistical heterogeneity of the data was explored and quantified by the Mantel-Haenszel chi-square test and the I test.
Inconsistencies, tensions and ambiguities in the data are explored and reported, as they illuminate the often messy complexity of real-world settings [ 18].
The statistical heterogeneity of the data was explored and quantified using the Mantel-Haenszel chi-square test and the I test.
Final harvest data were explored with linear and non-linear regression including logistic sigmoid and logistic with hormesis approaches (Stephenson et al. 2000), with the models selected being those with lowest variance of residuals.
The second interviews were more focused on the participants' main experiences; data were explored in-depth and allowed us to reach data saturation.
Categorical and continuous data were explored by means of frequency and mean ± standard deviation.
Focus group and interview data were explored using thematic analysis [ 34] and a constant comparative method [ 35], with a focus on possible mental models of HIV vaccines and clinical trials.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com