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At the current level of methodology with samples that suffer from missing data like catalase, MicroED produces lower quality maps than synchrotron X-ray diffraction.
Furthermore, determination of POD uses readily available clinical parameters that will be easily discerned either prospectively or retrospectively and does not suffer from large amounts of missing data like all other organ failure scoring systems.
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Taken together, our results suggest that alignment masking is the preferred approach when the distribution of missing data is EST-like in nature.
It is important to note that GBLUP and RR-BLUP are equivalent [ 33] but GBLUP facilitates a more proper handling of missing data for the GBS-like scenario.
When missing data arises, methods like 'last observation carried forward' (LOCF) or 'multiple imputation' will be used.
To avoid missing data, additional keywords like 'plant(s) large-scale phosphorylation', 'plant(s) MS phosphorylation' and other related keywords were also employed to search PubMed.
Within these we found systematic inconsistencies in documentation and missing data on epidemiologically important information, like room number, attending personnel and incubator number.
In case of missing data other available proxies like participating GPs or a nursing service are used.
We also present some measurement properties like missing data and validity of herbal and homeopathic remedies here.
For example, a complete-case analysis discarded almost 86% of the cases, and the results are likely biased since the occurrence of missing data was dependent on variables like residence status, academic standing, relationship with parents, and quality of social support.
Random missing data, as applicable for our GBS-like data sets [ 1], facilitated higher imputation accuracy compared to blocks of missing marker data.
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