Sentence examples for one standard deviation change from inspiring English sources

Exact(33)

Linear regression models were used to estimate the effect of a one standard deviation change in 2D : 4D measures on age at menopause and age at menarche, adjusted for country of birth.

Theses path coefficients measure the effect of a one standard deviation change in each original predictor variable on the response variable.

The semi-standardized coefficients were calculated as the change in odds for one standard deviation change in the community variable.

To facilitate interpretation, we report model coefficients that correspond to one standard deviation change in OHL, which in our study was 5.3 units on the 30 unit REALD-30 scale.

It is worth noting that a one standard deviation change in the income tax rate is a large change (almost 7 percentage points).

Standardized coefficients are reported and should be interpreted as changes in standard deviations of the dependent variable upon a one standard deviation change of the continuous regressors or upon a unit change in dichotomous regressors.

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Similar(27)

As in Table 2, the results in Table 5 reflect well-known attenuation bias in assessing the impact of cognitive ability on the outcome of interest, as is seen by comparing the estimated effects in columns (b) with columns (c) of a one standard deviation changes in the skills measure on college enrollment.

One standard deviation changes in community- and individual-level incomes were associated with 0.78 and 0.84 times lower odds of edentulousness, respectively.

To determine whether our findings reflect clinically important differences in disease risk, we rescaled the results to report the effects of one standard deviation changes in height and one kg/m increases in BMI using the coefficients for the effects of the SNPs on height and BMI reported by Lango Allen et al. [ 23] and Speliotes et al. [ 24], respectively.

Alternative models were fitted where whole blood Pb, plasma Pb and bone Pb were included as explanatory variables instead of the Plasma/Blood Pb ratio, these latter models included standardized independent variables, and the estimated IRRs are per one standard-deviation change in the explanatory variable.

In terms of marginal effects, in Model 12 a one standard-deviation change in the perceived severity of overclaiming is predicted to lead to about a 6percentnt reduction in the probability of voting for the incumbent.

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