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Finally, we acknowledge that the comparison between PediaSat and cNIRS monitor may be biased by the fact that cNIRS values were fewer in number and this may have randomly reduced the possibility for cNIRS errors.
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Overall, missing values were few enough that composite scores could still be calculated for most respondents.
The participation rate in the study was high (72%) and missing values were few, increasing the validity of the results.
Missing item values were few, ranging 0.0 – 1.9% for the main questionnaire and 0.8% for the two evaluation score-sheet items.
Women (N = 251) outnumbered men (N = 149) by a ratio of 1.68 to 1. Missing values were few (up to 2.7% at most), except for BMI, with missing values of 14.8% and 17.6% for males and females respectively, as certain participants refused to be measured.
The missing values (was few; 387 in ΔH3K14ac, 84 in ΔH4ac) were replaced by the mean value (i.e. zero).
Compared with the unadjusted values, there were fewer significant associations in the multivariate models for race (5 vs. 8), site (3 vs. 9), and season (1 vs. 6).
In data from a whole genome methylation promoter array we unexpectedly observed P value distributions where there were fewer P values less than alpha than would be expected by chance.
Despite the relatively high E values there were few positive hits (see Results) and we eliminated potential false positives by excluding sequences that demonstrated random homology patterns or which demonstrated no homology in the conserved domains.
Compared with the unexposed group, there were fewer missing values for some covariates in the exposed group.
The resulting values were a few degrees in the range of several hertz to several hundred hertz, suggesting a relatively minor 3-D effect.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com