Sentence examples for by the joint model from inspiring English sources

The latter is a full-conditional distribution corresponding to the joint density p (x) implied by the joint model.

Also included in the bottom panel are the cohort differences in the levels of quality of life revealed by the joint model, with the early baby boomer as the reference.

We investigated, in finite samples, sufficient conditions under which a chained equations algorithm with compatible conditional models imputes missing data from the predictive distribution of the missing data implied by the joint model and its accompanying prior.

So, the application of steps CE1 and CE2 to each j in turn and then iterating is a Gibbs sampler which, at convergence, yields a draw from p(x mis ∣  x obs ), the predictive distribution implied by the joint model and its accompanying prior.

To assess performance of TNFR2 and other covariates in predicting time to ESRD, we calculated C-index (12) using a score derived from the log times to event imputed by the joint model (Xβ) with a SAS macro developed in the Mayo Clinic (13).

We have defined a non-informative margins condition which, together with compatibility of the conditional models, we have proved is sufficient for a chained equations algorithm to impute missing data from the predictive distribution of the missing data implied by the joint model and its prior distribution.

By contrast, the joint model use all the sample patients and parameters are estimated once to do predictions.

The data selection process, followed by the joint modelling of the magnetic field and Euler angles, leads to accurate models of the main field and its secular variation around 2014.0.

This is reinforced by the joint modelling of male and female earnings: male earnings also provide income to maintain consumption during periods out of the labour force to look after children, and this reduces the need for income replacement through maternity leave policies.

When such information does exist, it is used by the joint modelling sampler but not by the chained equations algorithm, so they may draw from different distributions.

These potential sources of bias may be accounted for by the joint modelling of the ecological and observation processes through, for example, hidden process models [ 13].