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3 However, multicomponent models of this sophistication did not fit our data better than the models we derived.

For CURSI, the figures were 61% and 72%, which is somewhat better than the estimates we derived from our analysis.

However, if the proportion of PID that is true salpingitis is the same regardless of whether it is caused by CT, then the probability that CT will cause an episode of salpingitis is likely to be lower than the estimates we derived, equaling about 40%80%% of our estimate.

In summary, 454 sequencing provided epitope escape-rate estimates that were more precise and 25 50% faster than the minimal rates we derived from SGA data (Fig. 7; Text S1, Section IV), showing that the immune responses to these individual epitopes were even more potent than we showed previously [4].

Using a set of qualitative (citation-based), quantitative (document recount) and collaborative (authors from more than one country) indicators, we derived complementary data.

To test whether protocol variability is significantly greater than the residual variability, we derived p-values from the F-values (MSA/MSE) for each gene (using the upper tail of an F-distribution with 1 and 3 + 4 – 2 degrees of freedom).

Frequently we derived more than one PICO question from a single statement.

For countries with more than one study reporting BLL, we derived a single, sample size weighted, geometric mean BLL value and SD (for more details, see Supplemental Material, Methods).

This result is certainly better than the global asymptotic result we derive from Corollaries 1 and 2.

By means of classical Molecular Dynamics we obtain the conformation of each lowest-energy molecular structure from which we derive more than a thousand of structural descriptors necessary for building predictive QSAR models.

We have shown that, across all bacteria and for most high-level GO categories c, the number of domain occurrences n c scales as a power-law in the total number of domains n, with scaling exponents α c varying from close to zero to a bit larger than 2. We have derived what we believe is the simplest evolutionary model that can account for the observed scaling laws.

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