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Exact(16)
For inpatient cost models, the coefficient of the opt-out variable was consistently positive and also statistically significant in most model specifications.
However, differently from available steady-state models the coefficient of the leading-order term is function of time: A="A s,t).
Using these base models, the coefficient of thermal expansion (CTE) of aggregate and mortar particles are varied independently and the discrete element model is subjected to increasing temperatures.
In the multivariate models, the coefficient for second generation appears to be negative, implying the existence of statistical discrimination (see, e.g., Zschirnt and Ruedin (2016) for a review of the main literature).
To measure the fitting performance of statistical models, the coefficient of determination: R^{2} = 1 - {frac{sumlimits_{t} y_{t}-hat{y} y_{t}-hat{yumlimits_{t}(y_{t}-bar{y})^{2}}{sumlimitsapplied.
In both of these models the coefficient of rail length was negative, which confirms the hypothesis that a higher rail length relates to a smaller SSS volume, but only for these two SSS segments.
Similar(42)
In all the models, the coefficients and their level of significance are broadly similar.
In all models, the coefficients on the covariates are of the expected sign.
When including TIMP-1 in the multivariable models, the coefficients for the other variables included were similar.
In the re-estimated regression models the coefficients and standard errors hardly changed compared to the full models.
However, unlike those of logistic models, the coefficients of probit models cannot be directly interpreted as the logarithms of odds ratios.
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