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When analyzing accident records for the presence or absence of obvious features that any victim or observer would notice, researchers often assume that if obvious features are not mentioned in records, they did not occur (i.e., that missing values indicate absence) [5] [7].
Missing values indicate the patient-acceptance of the different assessment methods.
The participants had been instructed to imagine their responses to situations they had not experienced, but the rates of missing values indicate that this instruction was difficult to follow.
Such missing values indicate an impediment in related comparison efforts and it is suggested that the definition of network examples as standards, where algorithm development and evaluation can be benchmarked, is needed in order to facilitate and improve comparative analyses [ 54].
Under the assumption that missing values indicate a high level of deterioration, the "true" German values might be overestimated by our study samples and differences in QoL ratings between Canada and Germany might be even more marked than in data presented here.
Missing values indicate technical problems with the device: signal loss (Guardian: 19 patients; Navigator: 1 patient), sensor failure (Guardian: 7 patients; Navigator: 2 patients), interruption of real-time representation of glucose values after delayed recalibration (Guardian) or temporarily failure of data-recording (Navigator: 4 patients).
Similar(54)
Multivariate analyses were repeated to include patients with missing values, indicating similar results as above.
None of the items had more than 5%% missing values, indicating that this option was appropriate for use [ 19].
Although Little's MCAR test [ 20] was non-significant (Chi-Square = 180.441, DF = 172, Sig. =.314) the pattern of distribution of the missing values indicated a non-random occurrence of missing values.
A true zero value indicates that no reportable events occurred that month, whereas a missing value indicates that reportable events occurred but were not actually reported.
However, the low mean missing values may indicate acceptability among respondents.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com