Sentence examples for multivariate statistics that from inspiring English sources

We then proposed multivariate statistics that integrate the results from multiple replicate experiments to compute false discovery rates, the total number of differentally abundant proteins, and statistical power.

We further extended the method of Efron to facilitate its application to quantitative proteomics experiments by developing multivariate statistics that integrate the results of experiment-specific models of multiple replicate experiments to compute false discovery rates, statistical power, and the total number of differentially abundant proteins.

In spite of this heavy parasitic burden, a salient feature emerged from multivariate statistics: that parasite infection has, at the global level, an apparent marginal impact (only 2.4% of the transcripts were found modulated) on the expression profile of infected MΦs.

A cross-sectional comparison of these groups using multivariate statistics indicated that the most potent risk factors were psychological distress (odds ratio = 13.2) and poor function (odds ratio = 6.4).

Analysis by multivariate statistics demonstrated that PPARδ activation profoundly affected glycolysis, gluconeogenesis, the TCA cycle and linoleic acid and α-linolenic acid essential fatty acid pathways.

Multivariate statistics showed that the four categories differed in severity in the overall domain of psychopathology reported by parents and teacher's, F (18, 267) = 2.15, p = .005.005

Proportional-hazard multivariate statistics showed that survival was influenced by type of surgical resection (P less than 0.05) and stage (P less than 0.05), whereas age, sex and histological subtype were not influential.

Multivariate statistics showed that parents report of internalizing and total problems and teacher's report of externalizing and total problems was more severe in the TFC condition, F (1, 94) = 5.01-8.56, p = .03-.00.

In 1987 the first national study to analyze the issue with multivariate statistics found that even after controlling for household income, housing values, amount of hazardous waste generated in an area, and other factors, the percentage of minority residents in a zip code proved the greatest predictor of hazardous waste facility siting.

It makes clear that multivariate statistics appears as a valuable tool to check which points and stages of the process must be controlled, demonstrating that the washing stage produces significant decreases in contamination (so it must be considered a CCP).

This simple strategy is possible because of an insight that multivariate statistics can be recovered from single-variant statistics, together with the correlation matrix of the single-variant test statistics, which can be estimated from one of the participating studies or from a publicly available database.