Sentence examples for models used restricted from inspiring English sources

The estimation procedure for both the random intercepts and the random intercepts and slopes models used Restricted Maximum Likelihood, as this is known to provide better estimates of standard errors than Maximum Likelihood [10].

The applied survival models used restricted cubic splines to estimate log cumulative hazards, controlling for the effect of relevant patient characteristics.

These models use restricted cubic splines to model the baseline cause-specific hazard rates.

Lastly, flexible parametric models use restricted cubic splines for modelling the log cumulative baseline excess mortality rate.

Intent-to-treat marginal and mixed effect models using restricted maximum likelihood estimation will be used to evaluate the primary hypotheses.

There was consistency in the ORs for Aboriginality in the different multivariate models using restricted sub-cohorts and different Aboriginal identifiers.

We first fitted random effects linear regression models, using restricted maximum likelihood, with log (under-five death rate) as the outcome, ignoring the presence or absence of IMCI.

Flexible parametric survival models use restricted cubic splines for the baseline and can, therefore, more readily capture the shape of the underlying hazard function compared with more traditional methods, such as the Cox proportional hazards model.

ITT mixed models using restricted maximum likelihood (REML) estimation will be used to account for missing data due to participant drop-outs without assuming that the last measurement is stable (the last observation carried forward assumption.

I used linear mixed models using restricted maximum likelihood (REML) to test for systematic differences in attractiveness among riders and raters by fitting rider and rater identity as random effects, and assessed their significance using one-sided likelihood-ratio (LR) tests.

For the data on 34 species from 47 studies for which population means were available, we used principal components (PCALL, PCSIZE, PCREP, PCDEF) as response variables in linear mixed models, using restricted maximum likelihood, to test the effects of range (native or introduced), and taxonomic group (monocotyledon or dicotyledon), both as fixed effects.