Sentence examples for models with likelihood from inspiring English sources

Trends were examined using time series models with likelihood ratios utilised to identify indicators of inpatient neonatal death.

Factor significance was estimated by comparing models with likelihood ratio tests after exclusion of a fixed factor.

Trends in reporting over time and between regions were assessed using Poisson regression models, with likelihood ratio tests used to assess temporal and regional variation.

To test if models differ in their goodness of fit, we compared the models with likelihood ratio tests (LRT), calculated as: χ2 = 2(ln L1 - ln L2).

Backward elimination, as described by Collett, 21 was used to build the multivariable models, with likelihood ratio tests (LRTs) used to assess significance and p<0.05 considered statistically significant.

To identify additional HGGs under positive selection and detect the amino acid residues that are under positive selection, we contrasted the M2A/M1A, M8/M7 and M8/M8A models with likelihood ratio tests (Additional Files 5 and 6; see Methods) [ 64, 66].

The R-package AnimalINLA has been developed for performing inference using INLA for animal models with likelihoods applied in this paper.

Values were retained if on their removal there was a significant increase of the residual deviance of the model with likelihood ratio statistics (LRS) of p>0.05 and they were removed from the model if they caused an insignificant increase or decrease in the residual deviance with LRS of p<0.05.

We used two methods to characterize the changes in disability over time: the marginal model with the GEE approach and the random model with likelihood integration.

Backward elimination techniques were used to select variables for the final model, with likelihood ratio tests used to determine significance (P < 0.05).

We evaluated whether additional covariates should be included in the base model with likelihood ratio tests (α = 0.05) and evaluated model fit using the Akaike information criterion and the Schwarz Bayesian criterion.