Sentence examples for much narrower confidence from inspiring English sources

Exact(4)

The incidences of full elbow extension and fracture in our study were similar to those reported in previous smaller studies. 1 5 6 The sensitivity of the test was also consistent with these studies, but with much narrower confidence intervals.

This is also significantly older and with a much narrower confidence interval than previous findings of 3,337 years ago 1,505 6,409 years agoo) (Cui et al., 2013).

The CDS based time estimate for the divergence of the red and Arctic fox from a common ancestor at 3.17 +/− 0.09 Ma is slightly older than a previous estimate based on 22 nuclear loci and 3 mitochondrial (mt) genes and has a much narrower confidence range [ 3].

The non-parametric bootstrap was carried out with 1,000 bootstrap replications and gave an ICER of 150 (95% CI -918 to 217), the results are shown in Table 1 and in Figure 2. Applying the bootstrap while ignoring the clusters and simply randomly selecting individuals and costs resulted in the same estimated ICER but with much narrower confidence intervals.

Similar(56)

The much narrower range in confidence limits for the Boag model reflects that the DSS estimates are for those who have died, while the other three methods incorporate the uncertainty from censored survival times.

In 2b, with 11 data points for fitting, the predicted curve closely resembles the observed data and the confidence interval is much narrower.

Our assessment of uncertainty in the estimated survivor function caused by recall error showed that the uncertainty envelope around the original KM estimate is much narrower than the point-wise 95% confidence intervals.

However, the 95% confidence intervals (CIs) were much narrower compared with the initial additive model, resulting in more precise predictions.

When we included some patients' baseline information as the covariates in the models, the odds ratios of the treatment effect changed slightly and the 95% confidence intervals tended to be much narrower compared to estimates without adjustment for any covariate.

In accordance with earlier discussion, each confidence interval turns out to be much narrower than in the traditional approach.

Because the estimated 95% confidence intervals in this analysis were much narrower than those expected for uninformative data (0.675 0.992), the estimates reported here can be assumed to be reliable.

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