Sentence examples for models weighted with from inspiring English sources

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.

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.

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).

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.

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

In contrast, when observation precedes the pointing action, the cost function, i.e. the function to be minimized in the optimal control model, has to be weighted with external cues that may activate implicit mechanisms of action imitation.

From the GEE regression model, the contribution of the individual risk factors to HFSR risk was weighted with the model coefficients.