Exact(6)
Like separating smokers and non-smokers they keep the actors and the public separate - keeping the riffraff away from the decent people, although you can decide which is which.
Using the receiver operating characteristic (ROC) curve, plasma cotinine cut-off value of 11.48 ng/mL was established for separating smokers from non-smokers, resulting in a smoking prevalence of 14%.
The effect of separating smokers was to make the unhealthy behavior more difficult.
The first component is dominated by a set of metabolites (Table 1), indicating that these metabolites are primarily responsible for separating smokers from former and non-smokers.
Random Forests were used to identify the threshold score separating smokers and never smokers and to assess misclassification.
ROC analysis showed that the optimal cut-off value separating smokers and nonsmokers for saliva varies depending on the period of pregnancy and equals 31.9 ng/mL for the first trimester, 18.1 ng/mL for the second one, and 11.47 ng/mL for the last one with the sensitivity of 100% and specificity of 96% for all tests.
Similar(54)
Confounding factors can be controlled for by separating the smokers and the non-smokers and asking whether the vegetable cancer association is seen in both groups, or by more sophisticated, but conceptually similar, statistical techniques.
Landi et al. recently proposed a gene expression signature characteristic of smoking, heavily weighted on cell cycle genes, that separated both smokers from non-smokers in lung tumors and early stage tumor tissue from non-tumor tissue [ 13].
Taken together, results from the current study in combination with previous reports on different AC subtypes [ 6, 7, 9, 10] indicate that never-smokers can not be completely separated from smokers based on transcriptional differences, and consequently, that AC arising in never-smokers do not appear to represent a distinct entity based on transcriptional patterns.
Kim and Jung 17 supposed that a urinary cotinine level of ≥164 ng/mL also could be used to separate never-smokers from active smokers.
Since ex-smokers may be different from those sample participants that had never smoked, I separated ex-smokers from non-smokers in the analysis.
Write better and faster with AI suggestions while staying true to your unique style.
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