Sentence examples for our data examples from inspiring English sources

We assess the practical significance of misfit in all of our data examples.

In our data examples we illustrated this by considering a single cut-off value and applying the BREM approach.

Furthermore we demonstrate that few thousand permutations are sufficient in order to obtain reliable results for our data example.

In our data example, both type 1 and type 2 events happened at only 18 out of 322 time points considered in Figure 8. Figure 8 (right) profits from the fact that the binomial probabilities are often degenerated and only shows those times with an observed type 1 event.

The good performance of SeqEM in our data example, which uses a single pedigree of eight individuals, provides some indication that SeqEM does not break down when applied to related individuals, although care should be taken in generalizing based on a single dataset.

As shown by both our simulation study and our real data example, our method is particularly useful in the case where many tests are truly H1, while still giving correct results if few or no tests are truly H1.

In our real data examples, we observed a somewhat small specificity for the most common haplotype of TNFA and a small sensitivity for the rare MCP1 haplotypes (Figure 4).

We repeated this analysis in our real data example with a higher percentage of missing data and obtained the same result.

This was nicely illustrated by our real data example, in which we identified 30 regions that were not reported in the original analysis.

Another complexity in our real data example is the heterogeneity of the Merino sheep population, as it consists of many sub-populations.

One challenge in the development of prediction models based on case-control data, as in our real data example, is that case-control samples contain an overrepresentation of cases compared to the number in the general population.