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Discover Ludwig"missing some data" is a correct and usable phrase in written English.
You may use it when you need to explain that a certain set of information is incomplete or lacking. For example: "The research project was hampered by the fact that some of the participants were missing some data."
Exact(5)
We may also be missing some data on predictors, even in the absence of participant attrition.
Thirty-two per cent of sampled records were missing some data and we imputed missing data using multiple imputation by chained equations [ 17] and, in less than 1% of cases, standard treatment guidelines when this method failed.
In general, spot detection software (ex. PDQuest and Proteomweaver) sometimes lead to missing some data because of the mismatching error resulted due to shifted spots between gels or spots overlapping.
However, several drug makers have preferred the use of a 3-category scale, namely "Unlikely," "Possible" and "Probable" (Table 3 ), for the following reasons: (1) Due to various practical limitations, cases documented during drug development are often not evaluated as completely as the DILIN cases, and are often missing some data.
The sensitivity and specificity of the mother-child link is unknown, meaning that we could be missing some data on the child record, but again we would not expect the linkage to be substantially different between the vaccinated and historical unvaccinated cohorts.
Similar(55)
In common with all retrospective studies, it is possible that we may have missed some data.
Different types of the observation errors, and like missing of some data, registration errors, synchronization errors, are also accumulated.
As a result the reviewers of the patient records may have missed some relevant data.
Due to the presence of some missing data, some row totals are less than 124.
Such comparisons would require access to routinely collected patient data (even CPRD might be missing some data for example, INR tests 20 20).
Sample size for each model was reduced in most cases due to some missing data in some of the hypothesized correlates (updated sample sizes given in Results).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com