Sentence examples for knowledge and statistics from inspiring English sources

Exact(2)

I can't rhapsodize on your actions armed with the knowledge and statistics of schooled theologians.

Knowledge and statistics based systematic analysis of high throughput molecular data from normal and diseased individuals can be used to construct candidate molecular networks.

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This includes strengthening capacities in knowledge generation and statistics, accountability and international reporting, communication for development to promote positive social norms and safe behaviours, technology for development to promote children's participation and advocacy to raise the profile of children's rights in national dialogue.

This approach to adjustment-variable selection combines background-knowledge and statistics-based approaches using methods already common in epidemiology and communicates assumptions and uncertainties in a standardized graphical format.

Writing well used to be a fundamental principle of the humanities, as essential as the knowledge of mathematics and statistics in the sciences.

The lack of a computational tool allowing to easily and rigorously perform multiple GSEA without minimal knowledge in bioinformatics and statistics has limited the use of this methodology by biologists.

In statistics, the purpose of chi-square test is to measure the independence of two events A and B. From the knowledge of probability and statistics, we know that two events are independent if the probability equation has the following relationships: P(A | B) = P(A) and P B | A) = P(B) or P AB) = P(A) P(B) equivalently.

Anderson and Garnett argue that emphasis on the elegance of the formulation and analysis of infectious disease models rather than on practical relevance, combined with inadequate knowledge in mathematics and statistics, creates a chasm between the researchers creating models and the decision-makers originally intended to use them [ 20].

Adjustment-variable selection in epidemiology can be broadly grouped into background knowledge-based and statistics-based approaches.

In summary, we have proposed a novel approach to adjustment-variable selection in epidemiology which combines existing knowledge-based and statistics-based methods.

It was also the case that few of the leaders had much economic knowledge and, moreover, the statistics available to them were highly unreliable.

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