Sentence examples for model weighted with from inspiring English sources

These results were used to compute the average phylogenetic reconstruction as the consensus of the ML trees for every model weighted with their AIC weight (Posada 2008).

For continuous outcomes, a linear regression model weighted with their inverse variances was used to estimate all treatment effects.

Finally, overall ORs and 95% CIs were calculated from all of these ORs and 95% CIs using a random-effect model weighted with the inverse of the variance.

Scores from the last four dimensions are combined using a multiplicative model weighted with community values to compute the utility index, which is suitable for use in cost-utility analysis [ 2].

The pooled RR, adjusted for possible covariates, and its 95% CI were calculated for the risk of CHD events in each study by the DerSimonian-Laird random effect model weighted with inverse variance.

We then used inverse probability weighting regression models weighted with warfarin treatment as the independent variable to estimate the adjusted associations between warfarin treatment and each outcome estimated, controlling for other discharge drugs as covariates.

So, we firstly explored the threshold effect, which was evaluated with the Spearman correlation coefficient with Moses' model weighted by inverse variance.

Because growth rates among healthy and cryptorchid boys may differ, complex samples general linear model weighted for sampling fractions of boys with (121/55) and without (5677/55) cryptorchidism from the total cohort was used to study the association between placenta OTC concentrations and different anthropometric parameters.

When the AIC or AICc difference of the two models is less than 2, the under-recording was calculated as the weighted average of under-recordings, which are estimated from both exponential and double-exponential models and weighted with their relative likelihoods (Table 3), given by: {L}_r= exp left(frac{A_s-{A}_l}{2}right) (18).

The predicted magnitude of effect is then calculated as in Equation (1); however, these models are weighted with the relative frequencies of cancer-associated (CanProVar) and putative neutral polymorphisms (UniProt) mapping onto the top scoring sequence(s), and their homologous domain(s), being used to construct the model (Supplementary Methods).

A Cox model with weighted estimation providing valid average relative risks with non-proportional hazards has been developed (Schemper et al. 2009).