Sentence examples for various confidence interval from inspiring English sources

On GGA24, the three detected QTL for LES, PC and composite variable F1 were positioned at the same location i.e. 4 cM, while on GGA19, three QTL were detected at 19 cM and one at 25 cM with various confidence interval sizes i.e. 18 20 cM containing QTL for LES and PC, 20 29 cM containing a QTL for HEMA and 18 28 cM containing a QTL for composite variable F1 (Table  1).

A comparison of performance of various confidence intervals also appeared in Alghamdi (2015); Aho and Bowyer (2015).

In general point estimates of τ need not lie inside the various confidence intervals that are available, so this is an attractive property.

The primary focus of this work was on confidence interval coverage and rejection rates; the estimated confidence limits are, therefore, not presented but general inferences regarding the relative width of various confidence intervals can be made easily from the coverage and rejection rates presented below.

Various approaches for confidence interval calculation are considered.

To evaluate for over-representation of the various combinations, a 95%% confidence interval of each combination with respect to the sample size was calculated.

Since this study was cross-sectional in design, it was possible to calculate the estimated proportion vaccinated, along with a 95% confidence interval, for various combinations of the coefficients to aid with interpretation of the final model.

The AUC is measured for various delays D. Confidence intervals represent standard errors based on 10-fold cross validation.

Table 5 Results from t test for the ( overline {text{RPI}} ) Algorithms t P value DPSO: LINGO −0.93 0.717 DPSO GAA −1.89 0.853 DPSO: SA −1.48 0.802 GA: SA 1.40 0.173* SA: LINGO −0.67 0.476 GA LINGOO 1.90 0.113* * Means that the difference is significant, i.e., P value <α. Figure 2 indicates the average value of LSD with confidence interval 95%% for various heuristics.

Conditional logistic regression analysis was used to estimate the odds ratio and 95% confidence interval [CI] of various atherosclerotic and inflammatory risk factors to predict steatohepatitis.

This is in good agreement with the value of 1 to 2% of total cases as suggested by McDonald and McDonald (1996), who carried out backward extrapolation of mesothelioma mortality trends from epidemiological studies from various countries; a figure of 1.15%95%5% confidence interval 0.90 1.45) has been suggested by Teta et al (2008) for males, based on US mesothelioma patterns between 1973 and 2002.