Sentence examples for identified significant correlations from inspiring English sources

In the group of patients, we also identified significant correlations between cortical AV-45 uptake and memory performance.

We also identified significant correlations between HMSE and HSLC scores and measures of depression, anxiety, general psychopathology, and health-related quality of life corresponding with the original studies [5, 9] even though different measures were employed.

We also found additional significant CNAs missed by the original analysis but supported by earlier studies, and we identified significant correlations between CNAs.

Decreases in metabolism in these regions were not associated with craving; in contrast the voxel-wise SPM analysis identified significant correlations with craving in anterior orbitofrontal cortex (p<0.005), amygdala, striatum and middle insula (p<0.05).

We identified significant correlations of NAMPT with systolic blood pressure and endothelial function that did, however, not withstand adjustment for BMI SDS in partial correlation analyses (Table  1).

Limstrand [ 27] identified significant correlations between environmental aspects such as short distance, nearby parks, playgrounds, sidewalks, perceived safety and young people's use of sports facilities.

Baskerville and Bartel identified significant correlation between the expression levels of intronic miRNAs and their host genes, suggesting co-regulation [ 4].

In tumour tissues, we identified significant correlation of PLA signals with tumour size and with distant metastasis-free survival of patients.

Thanks to this extended sampling, our group was able to identify significant correlations between several genetic variants and specific migraine features.

Categorical and continuous variables were analysed using Chi-square or Fisher's exact test (in case of expected values <5) and two-sample t test to identify significant correlations.

Each study that identifies significant correlations between evolutionary events, processes or outcomes can generate new predictions that can be further tested with different datasets, allowing a cumulative process that may narrow down on plausible explanations, or lead to rejection of other explanations as inconsistent or unsupported.