Sentence examples for more precise statistical from inspiring English sources

One reason for this big margin of error is that the quadrennial history of American presidential elections provides too small of a sample for more precise statistical analysis.

This can be demonstrated using more precise statistical analysis: a post hoc test on coefficients of 'gender × junior high school education level,'genderer × senior high school/technical school education level,' and 'gender × college and beyond' indicates no difference.

However, in order to have a more precise statistical inference, a database for eight countries of the region, which also had reform processes framed in the Washington Consensus, is also used (Additional file 2).

However, the main advantage of the current method is that DYI is calculated as a linear function of parameter estimates within the framework of a mixed model after accounting for a significant genotype x stress-level interaction across environments and it therefore provides more precise statistical inference, which was not the case with the earlier ratio-based measures.

The large number of deaths allows more precise statistical estimates of death rates by race and sex for specific causes of death.

It also allows more precise statistical assessment of change in blood flow with pharmacologic intervention.

With extension of accessibility of computational capacities, statistical approaches allow to consider high-order interactions and open possibility to enhance the existing mechanical theories with more precise microstructural statistical instruments.

In a more precise way, the statistical approach allows us to obtain a good quality modeling even if atypical data are present, while this situation leads to a bad quality of the modeling by the geostatistical approach.

What is of interest is that the colonization distribution is different for children with AOM, which suggests that NTHi is more aggressive than other bacteria in some sense, and this effect is made more precise by the statistical model we used.

However, association studies designed in the latter may have two practical advantatges: i) possibly larger sample sizes can be obtained in general populations, and ii) allele frequencies may be closer to those in reference HapMap populations, which allows more precise a priori statistical power calculations and prevents genotyping SNPs that can result monomorphic.

It is a general principle that test statistics can be made more precise, with gain of statistical power, by conditioning on ancillary statistics (Cox and Hinkley, 1974).