Sentence examples for examination of the statistical from inspiring English sources

We stress, however, that our present work is an examination of the statistical patterns in the data, not causal mechanisms.

A closer examination of the statistical results was undertaken to better penetrate probable causes.

Additionally, examination of the statistical interaction between high PM10 concentrations during the third trimester of pregnancy and the presence of the GSTM1 null genotype provided evidence of a synergistic effect on the risk of preterm delivery.

An examination of the statistical significance of the variables in bivariate analysis with the mortality rate ratios (MRR65+) was part of the selection process, including all of the categories (e.g., demographic, biophysical, built environment).

For examination of the statistical significance of associations between CCND1, ID1 and other categorical variables, Spearman's rank-order correlation coefficient, Kruskal-Wallis and Wilcoxon/Mann-Whitney tests were used as indicated in figure legends.

Examination of the statistical performance of the variables included in the CDRs showed that none had a significant positive (>5) or negative (<0.2) LR. 42 Two CDRs brought the post-test probability of GAS pharyngitis to around 10%. 22 24 Only the CDR of Joachim et al was considered useful for clinical use to exclude GAS pharyngitis.

Hence, the statistical models of rough surfaces under consideration cannot be used for description of the surfaces and there is a need in critical re-examination of the current statistical approaches.

Second, these new analyses of archive data provoked productive (if sometimes testy) scientific debate (11, 14 20) as well as re-examination of the original statistical analyses (21).

We selected the preferred factor structure (number of factors) based on the examination of statistical output and the coherence of accounts from the emergent factors [ 27].

Standard approaches to the evaluation of prediction model quality entail the examination of overall statistical properties, such as RMSE, MAE and Kendall τ.

This capability allows the identification of rapidly changing vegetation productivity conditions at different spatial scales to be established for evaluating rangeland forage conditions and mostly includes the examination of statistical relationships amongst the variables estimated using remote sensing and ground observed data (Dungan 1998).