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These initial data were analyzed and showed that a significant number of patients were not having possible iron deficiency addressed.
Three participants were interviewed a third time after the initial data were analyzed to further understand the overall preliminary findings of the study.
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The approximation error of initial data is analyzed.
Effects of key factors as: sampling time, number of data, supervision time, loss of initial data, are analyzed and a supervision strategy, compatible with plant DCS characteristics, is proposed.
The initial rate data were analyzed to assess the mass transfer effects and it was found that gas liquid mass transfer resistance was important under certain reaction conditions.
Initial velocity data were analyzed by non-linear regression calculations using the Michaelis-Menten equation.
For initial analysis, data were analyzed according to the experimental group by calculating frequencies and measures of dispersion as appropriate.
During initial coding, data were analyzed line by line to form categories, search for and identify processes, meanings, actions, change, and consequences.
Initial and final choice data were analyzed using a Chi-squared test.
Fold change values with ANOVA t test p-values ≥0.05 were removed from the initial list and the resulting data were analyzed using STEM for time-series expression analysis at different values for the "Maximum Number of Missing Values" parameter.
In order to finalize the gene set data at different time-points for functional analysis, those transcripts with ANOVA t test p-values ≥ 0.05 were removed from the initial list and the resulting data were analyzed using STEM so that fold change values for genes with multiple ProbeSets are averaged based on the median values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com