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Exact(16)
Regarding missing data, no systematic pattern could be observed.
In examining the surveys with missing data, no distinct patterns of missing values were detected.
* Differences in values are due to missing data (no PCR amplification).
At 3, 9 and 24 months, because of missing data, no variable could predict an outcome in multivariate analysis.
The sum of each row is less than the total n because of missing data (no contemporaneous creatinine).
Study participants with missing data (no occupational history provided) were treated as a separate category in the analysis.
Similar(44)
For most results presented here, we assumed no missing data and no genotyping or sequencing errors.
There were no missing data and no question had a response with more than 80% endorsement.
7 On the other hand, there were no missing data and no crossovers were reported.
Missing values were rare with no individual variable having >2% missing data, and no participant failed to respond to >2 questions in a domain or questionnaire.
No individual had more than 10%% missing data and no loci had more than 17%% missing data.
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CEO of Professional Science Editing for Scientists @ prosciediting.com