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The techniques for data analyses have been widely developed in past years, however, missing data still represent a ubiquitous problem in many scientific fields.
Although there were some missing data, still it is one of the largest monoinstitutional studies on this topic to date.
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Image inpainting is the process of restoring missing data in still images and usually refers to interpolation of the missing pixels using information of the surrounding neighbourhood.
Although left-censored data are more informative than missing data, they still lead to challenges in the data analysis.
Entries that were indecipherable were re-checked with the original survey and counted as missing data if still illegible.
Some firms dropped out due to acquisition or dissolution during this time period, but others with missing data were still functioning and reporting financial data during those years.
The purpose of this was to minimise the number of participants considered to have missing data while still providing an indicator of neuromuscular function.
Though we tried to identify all relevant information, some missing data are still inevitable, as reflecting by our publication bias evaluation.
First, in spite of information accuracy and completeness required by administrative databases for payment purposes, billing inaccuracies and missing data may still occur.
Reflecting the fact that even with current NGS technology, missing data are still a problem (Harper et al. 2012), we also assessed the robustness of PSIKO for this type of data.
These models have advantages for paediatric studies for the following reasons: they can be used to analyze sparse data; sampling times are not crucial; they can be fitted around clinical procedures; and, finally, individuals with missing data may still be included.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com