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Two hypotheses were tested using regression analyses.
The hypotheses were tested using regression analyses shown Tables 4,5 and6.
Each of these hypotheses is tested using regression models that control for the time-invariant unobserved heterogeneity of individuals.
Ordinal linear trends across five fitness levels and three BMI categories were tested using regression models.
Associations between individual fish length/weight and tissue metal concentrations were tested using regression analysis.
The associations between potential covariates and inflammatory biomarkers were tested using regression analyses.
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In the Malawian and Gambian case-control studies, associations were tested using logistic regression analysis and conditional logistic regression with stratification by ethnicity, respectively.
The framed hypotheses are tested using multivariate regression with ordinary least square, i.e., linear regression estimation.
Association between metabolite factors and significant CAD vs. no CAD was tested using logistic regression; and between metabolite factors and severity of CAD was tested using linear regression.
These predictions are tested using a regression discontinuity design on a new data-set on Italian municipalities.
Hypotheses were tested using multiple regression analysis.
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