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Finally, as self-reported wage data, which we used to estimate salary heterogeneity, are often noisy,12 we relied on the following two-step filtering to improve the data: first, we excluded implausible data (values below €0.5 or above €2,000 per hour), and second, we concentrated on the 5th through 95th percentiles of the resulting distribution.
We excluded implausible delivery dates: either less than 280 days after bariatric surgery or less than 31 days before surgery.
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The second step was to exclude implausible increment measurements from the data for the increment response.
Excluding implausible values reduces the variability present in the extremities of steps/day distributions which may strengthen relationships between steps/day indicators and some anthropometric outcome changes.
We attempted to correct the data by excluding implausible birth weights at each gestational age, and by restricting the dataset to include only infants from 26 to 44 weeks gestation.
To exclude implausible values, participants in the highest and lowest 0.5% of the ratio of reported energy intake (based on the food frequency questionnaire (FFQ)) on energy requirement (estimated on the basis of basal metabolic rate (BMR)) were also excluded (n = 662).
No BMIz scores fell outside of the CDC's criteria for excluding biologically implausible BMIz scores [ 24].
No participant was excluded because of implausible reported energy intake.
One woman was excluded due to implausible AC measurements during data inspection.
Two death surveillance points were excluded because of implausible mortality rates.
Several individuals had to be excluded because of implausible data, thus the final sample contained N = 262 patients.
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CEO of Professional Science Editing for Scientists @ prosciediting.com