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Taking into account previous estimates, we expect between 15 and 18 out of 845 extended probe sets to be false positives.
Based on previous estimates, we expect 63/100 of these elements to be active, with 54/100 exhibiting particularly high levels of activity [ 31].
Using these estimates, we expect that 359 CS deliveries at first birth would result in one additional case of placenta previa at second birth.
Although some exposure misclassification will still occur based on our model estimates, we expect that most of the residual error is Berkson type, based on a previous validation study for this model analyzing measurement error (Gryparis et al. 2009).
Given these estimates, we expect MDI scores to decline by 0.07 points per 1-μg/dL increase in lead among children with midrange manganese levels, compared with a decline of 2.23 points (i.e., βmanganese quintile 5 + βlead + βmanganese quintile 5 × lead = –0.89 + –0.07 + –1.27) per 1-μg/dL increase in lead among children with high manganese levels.
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If mapping bias was influencing allele frequency estimates, we expected that, for SNP positions with overestimation of the reference allele frequency in the 1000G, the alternative alleles would be flanked by additional alternative alleles (and thus have a greater mismatch count against the reference sequence).
The new Centers for Disease Control and Prevention estimate of 300,000 Lyme disease cases a year is a far cry from the officially reported number of nearly 30,000 cases — and with more accurate estimating we expect this number to increase in the future.
Conservatively estimated we expect to recruit 450 patients to the KACS cohort within this time frame.
For example, they do not include any information on the uncertainty of the HP and CFM estimates, which we expect is considerable.
For example, a very large study may initially appear consistent with the rest of the data, but on closer inspection it might provide an estimate much further from the pooled estimate than we expect by chance.
We think this is a very conservative estimate, since we expect that smart meter implementation will reduce this rate of growth as average households attempt minimize consumption.
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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