Sentence examples for between the deviances of from inspiring English sources

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We compared the linear and spline models by computing the difference between the deviances of the fitted two models (Dominici et al. 2002; Samoli et al. 2005).

Whether the improvement model has significantly better fit can be tested by taking the differences between the deviances of the models.

As an alternative way to compare the two approaches the linear and spline models we computed the difference between the deviances of the fitted models.

Similar(57)

The overall deviance was minimized for a potential threshold of 0.5 mg/m; however, the comparison between the deviance of that threshold model and the linear no-threshold model yields a p-value > 0.9, suggesting weak evidence for a threshold.

A test based on the difference between the deviance of the null model (model with no explanatory variables) D0 and the deviance of the fitted full model D2 may yield significant result when the drug effect is significant, even if the siRNA does not have any effect on cell viability.

Heterogeneity of the risk of ILI between specialties was assessed by comparing the deviances of the models with vs. without νH t,x t ).

Table  2 shows the deviances of the different models used.

The difference between the deviance statistics of the model of interest, M1, and a model without covariates, M0, is Δ = D 0 − D 1 ∼ χ p 2, which can be used to evaluate the significance of each gene fit.

The goodness of fit can be computed as the difference between the deviance for the fitted model and the deviance for the saturated model (which fits the data perfectly).

Given a model, the residual deviance is defined as the difference between the deviance for the fitted model and the deviance for the saturated model, where the deviance measures the fit of the model to the unconstrained data points using the appropriate likelihood function (eg, Poisson likelihood, binomial likelihood).

The variance of k f can be written, and and can be estimated by Taylor series expansion of non-linear functions: Further, the parameter for over-dispersion, σ, can be estimated from the ratio between the residual deviance of the model and the corresponding number of degrees of freedom [ 20], and can be estimated by.

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