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Also, by using multiple linear regression modelling we assessed for the brain-to-brain entrainment not mediated by the speech-to-brain entrainment.
By using multiple linear regression, the relationships between each image and various form features were concluded.
2D-QSAR studies for ironporphyrin catalysts were performed by using multiple linear regression (MLR) analysis.
They could be estimated by using multiple linear regression equations reflecting the combined effects of hypothermia and hemodilution.
Generalized equations are developed by using multiple linear regression technique to estimate the degree-days and those satisfied the statistical tests are proposed.
The design equations are proposed by using multiple linear regression for square and diamond bird-beak SHS T-joints under axial compression based on the current design rules of traditional SHS T-joints given in the CIDECT.
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We estimated whether each neuron was significantly modulated by licks and/or by lick bouts, using multiple linear regression between timecourses of firing rate, licking, and lick bouts (using 0.5-s bins; see Figure 6C).
Geometric mean (GM) TBHg levels from a representative sample of over 5,000 seafood-consuming, reproductive-age women from eight years (2001 2008) of the US NHANES survey were compared by viral hepatitis status (as determined by serological assay) using multiple linear regression.
Satisfaction and attitudes scores were compared by demographic characteristics using multiple linear regression models.
Associations between CVD risk factors and psychological distress measures by sex were examined using multiple linear regression models, accounting for complex survey design and sampling weights and controlling for socio-demographic and acculturation covariates.
Due to skewed distributions of sex steroid hormones, we calculated adjusted geometric means by quartile of cadmium using multiple linear regression on log-transformed hormone levels.
More suggestions(15)
by using multivariable linear
by using multiple credit
by using multiple time
by using different linear
by using multiple operating
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by using simple linear
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by using multiple PEs
by using differential linear
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by using multiple regression
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