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Noisy data becomes less of a roadblock.
The observed tendency becomes weaker as the reliability of the data becomes less.
Here, the wide-area modeling parasite prevalence survey data becomes less valuable.
This suggests that with the extra time provided by increasing N, the configuration of genotypes in the data becomes less dependent on the founding configuration in the population.
Another limitation of this study was the retrospective collection of breastfeeding data based on maternal recall, as recall data becomes less accurate with increased period of recall, which in this study was up to 16 years for some children [ 23].
The same pattern is seen also for large 100-leaf trees, with the accuracy being very high for fairly clock-like data and declining as the data becomes less clock-like.
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Second, we see that these data become less useful if we want to draw insights at a finer scale than the county.
As both sample size increases and as the data become less spread, the test becomes more powerful.
If the tone changes significantly, for instance with vasodilatation or vasoconstriction, then the data become less robust.
Indeed, as electronic records of patients make the basic data ever more widely accessible, these data become less crucial in a handoff.
These error of closure problems mean that population data, and incidence rates based on these data, become less reliable as they become further removed from the most recent census.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com