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Multiple regression analysis revealed the significant explanatory variables for microbial nutrient limitation.
Logistic regression analysis revealed that age was a protective factor for anxiety.
The regression analysis revealed several dimensions that had an impact on standardised mortality rate.
Regression analysis revealed a significant correlation between log dose and insect mortality (P < 0.05).
Regression analysis revealed the following relationship: Ground miles = 0.94 + 1.25 (air miles).
Logistic regression analysis revealed that BMI, triglyceride level, and ALDH2 genotype were associated with ALT elevation.
Logistic regression analysis revealed that worker contact was found to be predictive of placement stability.
A logistic regression analysis revealed that the grouping variable was a significant predictor of transfer.
A regression analysis revealed that the runoff response to rainfall for all the treatments was linear.
Logistic regression analysis revealed male sex and diabetes to be important predictors of fatality.
Forward logistic regression analysis revealed that menstruation was a significantly higher trigger factor for migraine in comparison to TTH.
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