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Multivariate logistic binomial regression analysis revealed that insulin resistance (HOMA-IR > 3.4583) was an independent predictor for coronary arterial plaque progression (OR = 4.969, p = 0.011).
However, univariate negative binomial regression analysis revealed that the number of heterozygous SNPs within MIs was not associated with parasite density (p = 0.062), season (p = 0.056), patient age (p = 0.903) or sex (p = 0.979).
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Regarding the inflammatory profile, the binomial logistic regression analysis revealed that the eutrophic state was significantly and positively associated with age and significantly and negatively associated with FFM in both BMI and PBF classifications (Table 4).
Classification and regression analysis revealed considerable variability in the articulator-to-acoustic relationship across speakers.
Regression analysis revealed that catastrophizing was the only predictor of hope.
Regression analysis revealed that no patient characteristics were associated with a higher likelihood of inappropriate prescribing.
Regression analysis revealed a correlation coefficient of 0.58--a large coefficient by Cohen's 1988 standards.
Multiple regression analysis revealed statistically significant predictors.
Regression analysis revealed some statistically significant findings.
Also, regression analysis revealed no multicollinearity.
Multivariate linear regression analysis revealed similar patterns of results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com