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The ICC is the proportion of the total variability (between masses plus measurement error) explained by variation between masses.
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The trouble is that the longer the puzzle continues, the more potentially worrying it becomes, because it becomes less and less likely that simple measurement error explains it.
Measurement error explains less of the variance than genetic parameters.
On the contrary, for FA and measurement error PC1 explained almost all total variance (>80%).
Thus, this measurement error might explain the null multivariable observations.
Finally, it is possible that measurement error could explain these findings.
As a limitation, we cannot exclude the possibility that random measurement error may explain why we found no evidence of mediation by diet or physical activity.
Because measurements in our study were highly reproducible in blind replicates (CV=9.9%), it is unlikely that measurement error could explain the difference in findings between our study and previous studies.
The authors hypothesized that measurement error might explain their findings, suggesting that "larger aggregation improves the representativity of the exposure estimates by decreasing exposure misclassification, which is more profound when using individual stations vs. regional averages" [ 31].
Measurement error may partly explain these inconclusive data because most studies defined dairy consumption using questionnaires.
Depression is also difficult to detect in older adults (32), and thus measurement error may partially explain why this association is so modest.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com