Sentence examples for most powerful tests of from inspiring English sources

The most powerful tests of association were limited to the laboratory values or vital signs routinely collected by the clinic, such as total cholesterol and blood pressure.

The most powerful tests of subfunctionalization require a detailed investigation of biological and molecular function of the gene products and their effect on phenotypes that may only manifest in one of many environments (Hillenmeyer et al. 2008).

The maximum χ2 test of recombination is one of the most powerful tests of recombination [ 90] but it can occasionally falsely infer the presence of recombination under some conditions, such as in regions that contain mutational hot-spots [ 91].

It is generally recognized that the most powerful tests of computational approaches are true predictions, made 'blindly' with pertinent data not yet collected or obtained by others but not released prior to reporting computational results and predictions.

The demographic history of the populations was inferred using two of the most powerful tests of population expansion: (i) Fu's Fs [ 65], which represents the probability of observing a similar or a higher number of haplotypes in a random neutral population given the observed value of theta.

The most powerful test of trend dynamics is one involving direct comparisons of large numbers of ancestor descendant pairs (Fig. 10; McShea 1993; Alroy 2000; Wang 2005).

These tests are modelled after tests on coding regions that compare the patterns of amino acid changing differences to synonymous differences, which are amongst the most widely used and most powerful tests to detect the effects of natural selection on individual protein coding genes [ 17].

The normality of measurements at each week of gestation was assessed using the Shapiro-Wilk test [ 21], which is one of the most powerful tests to use for the normality assessment, especially for small samples.

These 2 statistics are considered to be the most powerful tests for detecting expansion events (13 ).

The Potthoff–Whittinghill test is the locally most powerful test for the alternative of overdispersion, but its ability to detect the presence of clusters depends on the size, the number and the locations of the clusters (Alexander and Boyle, 1996).

However, there is no uniformly most powerful test for the quoted problem since the covariance matrix of the noise and the amplitude of the signal are both unknown.