Differential expression and correlation analysis of whole transcriptome for type 2 diabetes mellitus. [PDF]
Liu F, Peng A, Zhu X, Wang G.
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Comparative analysis of chloroplast genomes from 14 genera of Thymelaeaceae revealed variation in gene content, ranging from 128 to 142 genes, primarily influenced by IR expansion/contraction events and pseudogenization of ndhF, ndhI, and ndhG. Two large inversions were detected within the large single‐copy region, including a synapomorphic inversion ...
Abdullah +8 more
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Correlation analysis on interaction between Interleukin 10 gene and smoking with esophageal cancer risk in a Chinese Han population. [PDF]
Zhu J +5 more
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Correlation analysis of thyroid function and vitamin D levels in patients with type 2 diabetes. [PDF]
Wu L +5 more
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Deformation mechanisms in marathon running shoes elucidated by X-ray micro-computed tomography and digital volume correlation analysis. [PDF]
Ganju E, Hanson H, Wormser M, Chawla N.
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Correlation analysis between patent ductus arteriosus and bronchopulmonary dysplasia in premature infants. [PDF]
Luo H +5 more
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Correlation Analysis of Craniovertebral Angle and Scapular Index with Muscle Tone, Pulmonary Function, Balance Control, and Proprioception. [PDF]
Jang SH, Park SW, Kim SG.
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Correlation analysis of systemic immune-inflammation index values and arthritis risk in adults. [PDF]
Xia X, Lou Y, Zhou Y, Ling H, Ge T.
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An analysis of correlation matrices: Equal correlations
Biometrika, 1984In terms of the large-sample joint distribution of Z, the \(2^{-1}p(p- 1)\) Fisher z-transforms of the elements in a \(p\times p\) correlation matrix, the authors prove that the variance matrix of Z has just three projector matrices in its spectral decomposition under the hypothesis of equal population correlations.
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A common question of interest in nursing research is the relationships between variables. Correlational analysis is a statistical technique employed to investigate the magnitude and significance of such relationships. This paper presents commonly used techniques to examine bivariate relationships of interval/ratio, ordinal and nominal variables.
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