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At 24 months, an intention to treat analysis using all 667 participants recruited, and imputation of BMI for the 170 lost to follow-up and the 14 missing values, showed that mean BMI was significantly lower in the intervention group (16.53) than the control group (16.82), with a difference of 0.29 (95% confidence interval 0.02 to 0.55, P=0.04) (table 2).
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The third, fifth, seventh, and ninth columns represent rank by PPP for E. coli (out of 4243 proteins), E. faecalis (3277 proteins), H. marismortui (4240 proteins – all loci found are on plasmid with 362 proteins), and C. difficile (3873 proteins); missing values show that the protein did not score in the top twenty-five.
The supportive primary analysis on patients with non-missing values showed similar results (OR: 4.87, 95% CI: 2.69 8.82, p < 0.001) to those obtained with the FAS.
Missing values' analysis showed no item with more than 2% missing values (range 0 1.9%).
We created a control set by taking the remaining genes not in the test set and removing those with missing values or showing evidence of differential expression at an FDR of 10%.
Missing values are shown in bold between brackets for every variable.
This PPI dataset also has several missing values as shown in Table 4.
After data cleaning the total did not add up to 295 owing to missing values as shown in table 1.
We organized the 37 genotypes in the symmetric 10-by-10 10-by-10 10-by-10ng values as shown in Table 1.
Missing value analyses showed four categorical variables with over 10% missing cases and a category designated as "unknown" was added for those variables.
Missing values are not shown.
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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