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Duplicate LUMA and LINE-1 global methylation measurements were averaged for all analyses, and duplicates resulting in a greater than 15% difference were deleted before statistical analysis, leading to 16 subjects deleted for LUMA and 1 deleted for LINE-1.
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Otherwise, cancer status was regarded as uncertain and the subject deleted from the study.
If the estimate changed substantially, the subject deleted in that run was influential to the model fit.
Most subjects were deleted sequentially, but the pattern was periodically broken by selecting one subject from the "perturb" pool.
Fourteen subjects were deleted from the cohort because no employment data could be obtained.
Any bond for which both the participating atoms are a part of the subject is deleted.
For each item in the analytic dataset, we introduced missing values at the same rate as observed in the attained dataset by randomly drawing subjects and deleting their data for that item.
The data of this study were subjected to delete the questions' factor were less than.85 (base on Table 3), and to reduce the number of items as a scale to analyze fashion design.
In the case deletion methods, each subject was subsequently deleted to detect the graphical patterns.
These two subjects were then deleted one by one to refit the model.
We deleted subjects from these counties, reducing the sample size to 301 cases and 600 controls.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com