Sentence examples for two groups of smokers from inspiring English sources

There were other significant differences between the two groups of smokers.

For ordinal data, a linear-by-linear association test was used to assess whether there was a significant difference between the two groups of smokers.

Clearly, there is limited evidence about the most effective methods of engaging and supporting these two groups of smokers to quit, particularly for individuals living in disadvantaged circumstances [ 18- 20].

In order to better understand whether smoking affects fetal growth, we examined the distributions of gestational age-specific standardized birth weight z-scores between the two groups of smokers (Fig 4).

METHODS: This study involved four groups of smokers (n = 100 per group) who received either nicotine patch (21 mg/24 hr) or placebo patch treatment for 2 weeks before the quit smoking date, and during this period, smoked their usual brands of cigarettes or switched to low-tar and nicotine cigarettes: a 2 (nicotine patch) x 2 (cigarette type) factorial design.

The study sample included three groups of smokers, differentiated by their migration background.

When analyzing the increasing values of urinary cotinine in the four groups of smokers, a statistically significant progressive increase of the resistance indices for the left uterine artery (p = 0.037) and the umbilical artery (p < 0.001) were also identified.

After a conservative adjustment for multiple comparisons, we note that the healthy nonsmoking controls have significantly lower median levels of each of these biomarkers compared with the four groups of smokers including lung cancer cases.

Four focus groups with a sample of 24 patients (12 current and 12 former smokers) were arranged: two groups of current smokers and two of former smokers.

If two groups of 15 smokers and 15 non-smokers were compared, the required true difference of means for detection with p < 0.05 with and power of 0.95 rises from 0.46 with arrays that pass QC to 0.58 with arrays that failed QC (i.e., small biological effects become more difficult to detect).

Suppose two groups of 100 smokers are followed for a period of time, and 20 people quit smoking in each group.