Sentence examples for likelihood assumptions from inspiring English sources

As a validity check to the likelihood assumptions made by the linear mixed-effects model, regression models using generalized estimating equations (Diggle et al. 2002) in combination with robust standard error estimates were also fit.

We retested selected regression models using generalized estimating equations with robust standard error estimates (Diggle et al. 2002) as a validity check to likelihood assumptions of the linear mixed-effects model.

The sensitivity of our results, due to the rarity of our data, to likelihood assumptions was evident when we modelled the data, the 14 countries with the 0.5 continuity correction, under a normal likelihood.

This conservative p value (Type I error) was selected, since it is known that the NONMEM FOCE method produces only an approximation to the maximum likelihood assumptions and that the null hypothesis will be rejected more frequently than the nominal Type I error value [ 27].

In addition, the branch lengths for the phenotype are estimated using the molecular data under the assumption that they estimate divergence distances because estimating branch lengths and rate parameters from a single phenotype character can overparameterize the data, thus violating maximum likelihood assumptions [see Yang (2006), pp. 124 126].

The use of a full Bayesian approach is justified by the very same limitations that characterise the traditional weighted regression approach: i) normal likelihood assumption of the measure of effect ii) asymptotic confidence intervals and iii) estimation of τ from the data as if it was the true heterogeneity in the population.

Some of these details can be found in a simulation study by Catelan and Biggeri (2010), where, in the usual disease mapping framework and specifying a Poisson likelihood, the assumptions underlying the Bayesian interpretation of the q-value were checked.

This will prevent the primary midwife from observing the woman's reaction to the administration which reduces the likelihood of assumptions being made about the arm of the trial into which the woman has been randomised.

This can serve as a check against groupthink — and may increase the likelihood the different assumptions that the pollsters might introduce will be thought over and debated.

Lack of user involvement and attention for applicability in guideline development increase the likelihood of erroneous assumptions underpinning guidelines, with detrimental effects on the applicability of guidelines.

Because of a 'conditioning argument' [[ 30]; p.520] within the partial likelihood method no assumptions are made regarding the shape of the baseline hazard function, therefore only the effect of the predictors and covariates are evaluated.