Sentence examples for joint model for from inspiring English sources

Joint modelling imputation requires the specification of a parametric joint model for the complete data: current implementations impute under the multivariate normal model, the log linear model and the general location model [ 2].

Figure 5 depicts such an equivalent joint model for the transmission of b m via the relays R 1 up to R n.

Based on NORA10 wave data and simulated current data, a joint model for significant wave height and current speed at one location in the northern North Sea is presented.

A joint model for analyzing incomplete data from crossover trials is proposed in this article; the model includes a measurement model and an outcome dependent informative model for the dropout process.

Due to the high number of baseline covariates collected in the study, only variables different at baseline at a 10% significance level and variables thought to be influential (country effect, treatment as mono- versus polytherapy) were entered into the initial joint model for compliance and were then reduced using stepwise procedures.

The next section describes the statistical joint model for the longitudinal and dropout processes.

For instance, Fox and Marianti (2017) recently proposed person-fit statistics for joint models for item responses and response times to detect aberrant response behavior (e.g., guessing).

There seems to be no general consensus with regard to the approach of estimating joint probability distributions of metocean parameters and a general overview of recent studies exploring different joint models for metocean parameters is presented.

Nonetheless, the development of joint models for toxicity and efficacy would be of substantial relevance for further advances such as integrated simulation frameworks.

The proposed simulation algorithm can also be applied to simulate the recurrence process in joint models for recurrent events and a terminal event [ 28, 29].

The relation between IVF outcomes and quartiles of HCB, p, p´-DDE, and total DDT was explored with multivariable generalized linear regression models, with data structured to accommodate joint models for multiple outcomes and multiple cycles contributed per woman.