Your English writing platform
Discover LudwigSuggestions(2)
The phrase "after excluding missing data" is correct and usable in written English.
It can be used in contexts where you are discussing data analysis or research, specifically when clarifying that certain data points have been removed from consideration.
Example: "The results were calculated after excluding missing data to ensure accuracy in the analysis."
Alternatives: "after omitting missing data" or "after removing incomplete data".
Exact(7)
All analyses were performed after excluding missing data.
After excluding missing data, there were 614 workers who died with mesothelioma between 1978 and 2005.
The reproducibility rate of duplicated AM20 samples based on successfully assayed SNPs was 100% after excluding missing data.
22 All presented proportions were calculated after excluding missing data (if present) for a particular section the denominator is always indicated to remove ambiguity.
After excluding missing data, a total of 1353 (676 boys and 677 girls) and 1203 (585 boys and 618 girls) children were included in the final analyses in 1996 and 2006.
This was most common in non-Māori/non-Pacific women (13 %), compared to 4%% in Māori and 11 % in Pacific women, p = 0.002.> -wrap-foot> non-Māori/non-Pacificcific * The p value shows the difference between ethnic groups, calculated after excluding missing data Associations between "known" risk factors and breast cancer are shown in Table 3.
Similar(53)
A similar analysis was performed for the ITT population and for ITT observed cases (i.e. excluding missing data).
Thus, data were not imputed, and analyses excluding missing data but adjusted for age and gender should be unbiased.
NHS Direct anonymised call data (N=1 415 472) were extracted from the Computerised Assessment System (CAS) i. 15 After excluding missing cases (N=30 015), there were a total of 1 385 457 calls, which were included in analysis.
After excluding missing values and applying the weight factor, 1745 women remained.
Cronbach's α was determined by all available data excluding missing responses, while criterion validity and discriminant validity were determined by all available data including missing responses, which could be replaced according to the original inventors' suggestion [ 30].
Write better and faster with AI suggestions while staying true to your unique style.
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