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Missing data errors occurred most frequently, at rates of 0.8 per paper form and 0.1 per PDA form.
Range and consistency checks will be applied – missing data, errors and inconsistencies will be followed up with a nominated individual.
These include threats to validity presented by missing data, errors in claims coding, a lack of data on indirect costs, as well as unmeasured factors which may be associated with adherence.
Participants' Stop-Signal data were excluded from analysis if they had an outlying high rate of missing data (errors and outliers), determined by visual inspection of box-and-whisker plots.
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Some of the well documented limitations are missing data, abstraction errors and misclassification errors [ 10].
Female BC cases with missing data and/or data errors (e.g., date of death before date of incident BC, no date of last follow-up, etc).
The sample sizes and the power of the study including the reasoning for their choice, the level of significance, procedures to deal with missing data or errors in measurement should be clearly outlined.
After the missing data and errors were excluded, the remaining data for each element (between 8% and 54% of the potential data, depending on the element) was used to determine accuracy.
Data from T0 were scanned using Teleform into data-files and were visually checked for missing data or errors by the researchers.
Three times per week, data were reviewed again with a computational supervisor to detect missing data and errors and to correct them whenever possible.
aSome cells may not total to the full study sample size due to rounding imprecision in published percentages, or missing data or errors in the original publication.
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CEO of Professional Science Editing for Scientists @ prosciediting.com