Sentence examples for cases standard error from inspiring English sources

These sites were 34 and 72 (Table 3, Table S4) and their dN/dS values were greater than 1 in all cases (standard error considered).

In this case, PRCCs show moderate correlation between efficacy of pre-pandemic vaccine and total number of cases, standard error of time to peak, and number of cities affected (PRCC = 0.48, 0.31 and 0.43 respectively).

The model projected aggressive tobacco control to avert 18 million tuberculosis cases (standard error 14 to 22) and reduce the number of smoking attributable deaths from tuberculosis from 40 million (39 to 41) to 13 million (12 to 14).

Therefore, a total of 113 million tuberculosis cases (standard error 92 to 134) and 88 million deaths from tuberculosis (86 to 90) would be attributable to smoking between 2010 and 2050.

Results The model predicted that smoking would produce an excess of 18 million tuberculosis cases (standard error 16-20) and 40 million deaths from tuberculosis 39-411) between 2010 and 2050, if smoking trends continued along current trajectories.

Length of stay was significantly greater among matched cases (mean: 24.5 days; median: 14.0 days) than non-cases (8.0 days; 4.0 days), equating to 16.5 mean excess days of hospitalization among cases (standard error [SE] = 2.2; P < 0.001).

In these cases, standard errors were estimated using methods described by Follmann et al (1992).

However, we warn the reader that with are relatively small number of clusters (15 in our case) standard error estimates could be downward biased (see Cameron amd Miller 2013).

21 In the second case, standard errors are clustered at the home-country level instead of the individual level.

It also provides a margin of safety in case standard errors in estimates of the impact of EYEP are larger than for the Abecedarian trial.

In all other cases, the standard error was estimated using bootstrapping as described below; research always continues to develop analytical estimators (e.g. Mandallaz 2013), but bootstrapping was applied here for consistency across cases where analytical estimators are less well known or not established.