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The annual rate of decline per disease stage was determined by multiplying the regression coefficient for this stage by 365.25.
The score was derived from the final model by multiplying the regression coefficients by a factor of 10.
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.
A brief predictive index was then calculated by multiplying the regression by 10 and rounding off to the nearest integer [ 12].
The change in BP associated with a doubling of the BLL was calculated by multiplying the regression coefficient by 0.69 (Nawrot et al. 2002).
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This index was calculated by multiplying the standardized regression coefficients by the corresponding correlations and dividing that value by the R-square.
The predicted values were calculated by multiplying the raw regression parameters obtained in SEM with corresponding observed values of the predictor variables.
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).
The covariance matrix of the dependent variables is found by multiplying the vector of regression weights by its transpose, and adding the residual variances and covariances of the dependent variables.
The number of deaths in each month was estimated by multiplying the coefficient from the regression model for the pathogen by the number of monthly laboratory reports for that pathogen.
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Justyna Jupowicz-Kozak
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