Sentence examples for linear regression ratio from inspiring English sources

Fold changes in the linear regression ratio of proteins were calculated using Excel.

Median normalization of the linear regression ratio was performed at the protein level within the sets to account for intra-experimental variation [ 13].

The iterative process is terminated when convergence is achieved, which in turn is identified by a linear regression ratio tregress over the minimal scores in the last iterations.

Associations are presented with the regression coefficient for continuous outcomes (linear regression), odds ratio for binary outcomes, and multinomial odds ratio (MOR) for categorical outcomes.

When evaluated by linear regression the ratio was also 14 (RBC-OHg = 0.20+14*P-OHg; R2 = 0.72).

Given hierarchical linear regression, the ratio of cases-to-independent variables (IV) is no less than 20 1 [ 22].

GRPS are constructed in two steps: firstly, individual effect sizes of risk alleles (e.g., beta from linear regression, odds ratio from logistic regression or best linear unbiased prediction (BLUP) from linear-mixed models (Yang et al. 2014)) are estimated in the discovery sample.

Coefficients and their standard deviation from the linear regression, odds ratios (ORs), adjusted odds ratios (AORs) for age, gender and BMI, and their 95% confidence intervals (CI) from the logistic regression coefficients and their corresponding P value for trend were computed.

Based on multiple linear regression slope ratios with ZnSO4 set at 1.00, the RBV of ZnAA-L, ZnPRO-M and ZnPRO-H were 1.01, 1.28 and 0.70, respectively, for low phytate diets, and 1.05, 1.39 and 0.92, respectively, for high phytate diets.

Three different closure approaches [least squares linear regression (REG), Bowen ratio (BR), and residual (RE) correction] were used, and both models had daily ET with less bias and RMSE (averaged) within 0.16 mm day−1 and 0.62 mm day−1, respectively, using REG.

Statistical significance within regression models was assessed using F tests for linear regression and likelihood ratio tests for logistic regression.