Sentence examples for methodological variations from inspiring English sources

However, comparisons must be made with caution due to methodological variations between studies and gaps in the literature.

Describe characteristics of rapid reviews and examine the impact of methodological variations on their reliability and validity.

We discuss our results in the context of both the methodological variations between different analyses, and of recently proposed phylogenetic hypotheses.

It is therefore possible that intranasal insulin application is sensitive to the methodological variations e.g. timing of task execution and dose of application.

With the release of substantial information on a range of AEDs (both older and newer generation drugs), it becomes increasingly important to understand how the methodological variations between cohorts may affect the risks of major birth defects being reported.

Future research could advance this line of inquiry by using other methods of analyses (e.g., area under the curve; AUC), in order to better understand the effects of methodological variations and their implications for research design.

As the end results of this and our study were contributed by Chinese patients, it is likely that differences in outcomes were due to methodological variation.

Here we investigate both the conservation of network architectural properties across methodological variation and the reproducibility of individual architecture across multiple scanning sessions.

Perhaps the most difficult aspect of aggregating data from multiple sources, aside from the methodological variation in its creation, is the variation in degree of description and terms used to describe the data.

Based on 40 U.S. studies meeting inclusion criteria and analyzed under a common statistical framework to account for methodological variation, we found support for an inverse relationship between bat mortality and percent grassland cover surrounding wind energy facilities.

Such discrepancies are potentially due to methodological variation (Ahumada & Krebs, 2000; Essock, Sinai, McCarley, Krebs, & DeFord, 1999; Steele & Perconti, 1997), differences in task descriptions (Krebs & Sinai, 2002; McCarley & Krebs, 2000), and variation in fusion algorithms or sensor combinations (McCarley & Krebs, 2000; Neriani et al., 2008).