Sentence examples for multiplying regression from inspiring English sources

We estimated these responses and their 95% confidence interval (CI) by multiplying regression coefficients (± 1.96 × SE) by 0.3 (the logarithm of 2).

When binary outcomes are involved somewhere along a pathway, the situation is less straightforward; regression coefficients have different interpretations in linear and logistic regression, and merely adding and multiplying regression coefficients is not meaningful.

We will multiply regression coefficient estimates for the treatment effect of the WASH intervention on EED exposure among children in the WASH arm of the trial by those partial regression coefficients for the association of EED with child LAZ among children in the standard-of-care arm to attain the estimated effect of the WASH intervention on child LAZ at 18 months as mediated by EED.

The scores assigned to each component were calculated by multiplying the regression coefficients from the logistic regression model by two and rounding to the nearest integer.

The overfitting-corrected regression coefficients were obtained by multiplying the regression slope coefficients from the "naïve" model by the "shrinkage" factor.

We then calculated the risk score by multiplying the regression coefficients obtained from the logistic regression model by the respective covariate value at the time of starting treatment for all included factors but the treatment dummy variables, which were all set to 0. 25 This produced a summarising single value risk score for each treatment course included in the study.

The regression dilution ratios were then used to correct the HRs (95% CIs) by multiplying the regression dilution ratios by the HRs before the Prentice-weighted Cox regression random-effects meta-analysis.

Many readers will be more familiar with Hamilton's life-for-life coefficients, which are the regression measures with the standard V adjustments already made (i.e. multiplying the regression measure by 2 for male-to-female relatedness and dividing by 2 for female-to-male relatedness).

Hence, they were standardised by multiplying each regression coefficients with the ratio of the standard deviation of the corresponding predicting variable and the variable of interest.

The annual rate of decline per disease stage was determined by multiplying the regression coefficient for this stage by 365.25.

An alternative and preferable approach to estimate the indirect effect is by multiplying two regression coefficients, β2 × β4 [ 23].