Sentence examples for multiple statistical relationships from inspiring English sources
This work demonstrates the biomimetic nature of the plasma treated polymer membranes by evaluating multiple statistical relationships, including Bland-Altman analysis and correlation coefficients (Puppolo et al. 2017).
In our previous study, we found multiple statistical relationships of CO with 15 patient clinical conditions.
We applied a sampling design that minimizes the chance of bias in detections and counts, included multiple statistical methods to test relationships, and incorporated past research and species' biology when interpreting findings.
We used multiple statistical approaches to assess relationships between metals and semen quality while accounting for important covariates and various metals.
Our focus was on episodic memory and single presentations of memoranda, rather than long-term learning of statistical relationships over multiple presentations, which is the traditional focus of semantic learning and systems consolidation [ 2, 5, 44, 45] and in which "chunks" can be formed from higher-order relationships [ 46, 47].
MAGIA [ 66] supports multiple algorithms of miRNA-target prediction, such as miRanda, PITA and TargetScan, and multiple statistical methods to infer the relationship between miRNA mRNA pairs and biological processes or diseases.
Multiple statistical analyses were performed to identify statistically significant (p <.05) relationships between variables related to student's acquisition of biological evolution-related misconceptions.
Multiple statistical analyses were performed to identify statistically significant (p < .05) relationships between variables related to students' acquisition of biological evolution-related misconceptions.
Although we used multiple statistical adjustments, we cannot exclude possible confounding factors that may have obscured the observed relationship.
Statistical relationships between elements were established.
Model ensembles such as multiple statistical approaches, multiple dynamic models or multiple hybrid models for drought predictions were highlighted.
