Sentence examples for considerable statistical and from inspiring English sources

The Planck team are careful to stop short of saying that their results are fatal to BICEP's claims, pointing out that applying their data to the BICEP results involves considerable "statistical and systematic uncertainties".

Moreover, there was considerable statistical and clinical heterogeneity, because of which performing a meta-analysis of ORs was impossible.

For this reason and because including such subjects would necessitate a framework that simultaneously models the probability of leaving the NICU in a variety of different ways (i.e., health discharge, PICU, death), adding considerable statistical and computational and complexity, we opted to exclude these subjects for the development and validation of our proposed methodology.

The present study was cohort design and used a large dataset, which afforded considerable statistical power and allowed tracking of incident CKD events over 13 years.

This requires considerable statistical expertise and also a reference sample, both of which are not always available to primary care practitioners.

Inferring such systems is a considerable statistical challenge and it has recently been shown that some parameters cannot be inferred with any degree of certainty from time-course data.

However, in contrast to analyses on D. melanogaster, we observe no significant association of codon bias with recombination rate, despite considerable statistical power and reliable estimates of recombination rate at the finer scale advocated by Kulathinal et al. (2008).

This allows both measurement and biological variability to be assessed and statistically tested, providing considerable statistical power over technical replicates alone.

Thus, only the tip of the iceberg is analysed and considerable statistical uncertainty remains.

Although the study population was not extremely large, it permitted robust odds ratio estimates and considerable statistical power to detect many differences in characteristics based on CAM use.

The variety of risk estimates in the various studies may reflect differing time frames of exposure measurement, different compositions of PM, different characteristics of the exposed populations, and considerable statistical uncertainties.