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incomplete values.
As is clear from the output below, we successfully imputed all the incomplete values (Figure 2). Figure 2 Imputation of the incomplete values.
Causes of low quality include: outdated values incomplete values conflicting values wrong values noise in the data extraction.
Participants with incomplete values in the outcome or the covariables were excluded from analyses.
This is done to prevent the user from entering non-sensical or incomplete values into the database.
Furthermore, in the secondary analyses the mixed models use all the available values of the residents and do not exclude residents because of partially incomplete values.
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That is: (forall hbox {j} = 1..n, exists {textit{dim}} = 1..p, hbox {x}_{{j},dim} ne ) NULL and (forall ) dim = 1..p, (exists ) j = 1..n, x(_{{j},dim} ne ) NULL where NULL is an incomplete value in a given data set ({varvec{D}}).
The individual AUC of anti-nicotine IgG titers could not be calculated for subjects with incomplete titer values because of missing one or several visits (n = 57).
During periods when ferrous iron oxidation was incomplete, redox values were lower at 400 500 mV (Supplementary Fig. S 1).
In total, 397 patients were excluded because they had a tumor entity other than HCC (n = 91), liver transplantation after TACE (n = 119), lack of histological grading (n = 58), and incomplete laboratory values (n = 15).
In total, 424 patients were excluded for the following reasons: tumor type other than HCC (n = 91), liver transplantation after TACE (n = 119), lack of histological grading (n = 58), incomplete laboratory values (n = 15), other reasons (e.g., previous systemic chemotherapy) (n = 114), or were lost to follow-up (n = 27).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com