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The phrase "missing data further" is correct and can be used in written English.
You might use it when referring to the need to acquire additional data to fill in gaps in existing information. For example, "The current analysis suggests the presence of a correlation, but missing data further is needed to confirm it."
Exact(1)
As sequencing yield and quality continues to increase and costs continue to decrease, the desire to conduct larger and more highly multiplexed experiments may propagate the problem of missing data further.
Similar(59)
For some experiments, white areas of missing data extends further into the sheet from the edge.
The positions with missing data were further examined and found to mostly occur in the control region, so that for each individual the percentage of positions with missing data outside the control regions ranged from 0 to 8.84%.
Additional corrections were made using McClade 4, v. 4.01 [33], including end trimming to remove areas of missing data, and further alignment of indels (insertions and deletions) before phylogenetic analysis.
Of these 1,788 participants, we included the 1,443 subjects without missing data for further analyses.
Whenever necessary, reviewers contacted the authors of the studies for missing data or further information.
The effect of missing data was further minimised by the use of imputation.
Analysis without these outliers reduces the missing data even further, especially the number of missing items as all questionnaire items were missing for these patients.
The influence of missing data was further explored by comparing results for models using complete data only and multiple imputation methods.
The current study is given to rigorous analysis including multiple linear regression on over a dozen covariates, consideration of patterns of missing data, and further interpretation of the robustness of the results based upon these analyses.
Therefore, we adopted the strategy of removing units with any missing data from further analysis rather than replacing the missing data with mean values which could lead to distortion when the intent of the analysis was to compare reported staffing levels to DoH national guidelines.
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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