Sentence examples for correct odds from inspiring English sources

Application of the correction method to synthetic datasets showed it was effective in producing correct odds ratios from data with known misclassification.

So Prince's ticket showed his potential winnings to be $82,610 instead of the net $18.35 he would have won with the correct odds.

The small difference that seems to be in the disadvantage of the obese disappears, the correct odds ratio is 1.295%5% CI 0.78 1.8).

A correct odds ratio (OR) of 2.11 would decline to 2.04, if the misclassification of the chronic ITP diagnosis were 0.93.

According to Duffy et al (2002b), the correction for selection bias brought to an estimate of the corrected odds ratio for screened to never-respondent women equal to 0.55 (95% CI: 0.36 0.85), a 45% mortality reduction, confirming the protective effect of screening for those women attending (Table 2).

Bleeding complications decreased from 1.7%to1.0%0% after implementation (odds ratio 0.56, 0.40 to 0.78; P<0.001), and this effect persisted after correction for contemporary trends (difference between differences 0.56 v 0.91, P<0.001; corrected odds ratio 0.62, 0.44 to 0.87, P=0.006).

The corrected odds ratios for an increase of 1 μg/L serum concentration of PFOS, PFOA, PFHxA, and PFNA were 1.03, 1.12, 1.06, and 1.32, respectively.

In addition, the corrected odds ratio was 16.232 (95% CI: 1.562 to 168.725), compared with that of the normalized plasma miR-92a value determined at the clinical CR phase (Table 1).

However, something bad happening after disclosure was statistically associated with adherence (corrected odds ratio [COR] 4.8 [95% CI 1.61 14.59]).

There was a trend towards reduced morbidity in patients where hypoalbuminemia was corrected (odds ratio 0.74; 95% CI 0.41 1.60).

Rosner et al. (1989) proposed a regression calibration method for correcting odds ratio and corresponding CI estimates for systematic and random measurement error using a logistic regression model.