Sentence examples for measures for differences from inspiring English sources

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Nonparametric inference for general summary measures for differences on the cumulative incidence functions was proposed [ 43].

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*P=0.689 for regression with repeated measures for difference between groups over time.

One way to show whether the association of rs3804141 and Cd accumulation is spurious or causal, would be to expose erythrocyte precursor cells, from donors with different genotypes, to Cd and to measure for differences in cellular Cd concentrations between the genotypes.

The framework includes: (1) a definition of the measure for differences between craters; (2) test-field topography based on the 1/64° MOLA data; (3) the GT catalogue wherein each of 17,582 craters is aligned with MOLA data and confirmed with catalogues by N.G.

P-values are measured for differences between categorical variables (polySia-NCAM or NCAM expression status).

In an effort to further put the data into context, raw and composite scores were examined and tests were performed to measure for differences.

Finally, although we improve over other studies by considering a measure for differences in case-mix among hospitals there are reasons to believe that certain potentially important differences are not captured by this measure.

In general, when compared to Western countries Asian countries have a much lower prevalence of reported vasomotor symptoms [ 22, 26, 28, 44], which may be used as a surrogate measure for differences in menopausal experience.

Linear mixed models (PROC MIXED) for repeated measures tested for differences for each outcome.

Posttest knowledge scores, motivation scores, time spent, and mental effort were compared between formats using mixed linear models that accounted for repeated measures and for differences between modules.

The posterior odds ratios between the disease groups provide a quantitative measure for difference between network connectivity, and the parts of the network where the postORs differ from 1 are likely the parts most relevant to the disease state (panel (c) in Figure 1).

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