Sentence examples for using conventional statistical methods from inspiring English sources

Another recent study, by Yin-Wong Cheung, Menzie Chinn and Eiji Fujii, concluded that using conventional statistical methods it is hard to prove that the yuan is much undervalued.

Overall survival (OS) was analyzed using conventional statistical methods and the rank-preserving structural failure time (RPSFT) method to explore cross-over impact.

This hypothesis can first be explored visually before further analysis using conventional statistical methods.

Since the global gene expression changes violate basic assumptions of statistical analysis of microarray data that most genes are not differentially expressed [18], we have employed the knowledge-based Gene Set Enrichment Analysis (GSEA) (Materials and Methods), instead of using conventional statistical analysis such as t-test, to investigate expression changes in functional groups of genes.

Therefore, we conducted this study to examine how IVT affects LOS in an acute-care hospital setting using both conventional statistical methods and data mining techniques.

However, one issue with the use of conventional statistical methods to address relationships between land use types and streamflow or sediment yield is multicollinearity.

Given that 18% of observations were below the LOD, the use of conventional statistical methods could have led to biased estimates in a regression analysis (35).

These highly non-linear, stochastic and highly non-stationary time series have been found to be notoriously difficult to predict using conventional linear statistical methods.

Second, the resulting quantitative data on relative protein abundance is then analyzed using conventional multivariate statistical methods, to assess and characterize divergence in SFPs between types.

Using conventional parametric statistical methods (Student's t-test) to test for allele frequency differences between the 10 pools for the low g group and the 10 pools for the high g group, all SNPs were significant at P < 0.05 (range: 0.0000002 ≤ P≤ 0.03).

When using numerous species, their phylogenetic proximities can be analyzed using their signatures by conventional statistical methods and the set of species split into subgroups.