Sentence examples for a marginal model from inspiring English sources

In a marginal model, the regression of the response on explanatory variables is modelled separately from the within-person correlation.

The second uses a marginal model to account for correlation between damage observations when estimating a structure's vulnerability to the hazard.

We performed longitudinal data analysis to evaluate the effect of time on EQ-Index adjusting for important covariates, building a marginal model with generalized estimating equations.

In principle, one could use other classification models, for example linear discriminant analysis (LDA), a standard classification algorithm that combines a model such as (7) with a marginal model for (x_{t}.) However, Hastie et al. (2009) have argued that it is often preferable to stick to a model such as (7) rather than rely on LDA in practice.

A marginal model was fitted using Generalized Estimating Equations to model average weight trends for patients with good and poor outcome [20].

The sensitivity of MGIT and MODS was not significantly different in this analysis (P = 0.5), but MGIT was more sensitive than MODS when analysed on the sample level using a marginal model (P = 0.03).

23– 28 Comparative analyses of time to first relapse on treatment, time to treatment discontinuation, and time to confirmed disability progression between natalizumab and BRACE comparator groups were performed using a Cox Marginal Model, clustered for the matched pair.

Using the same analytic approach as in the recently published RCT of this intervention, we will apply a scaled marginal model [ 29, 75] to simultaneously compare the change in these continuous outcomes at 12 months, adjusting for the baseline status for each variable.

Longitudinal analysis with a pre-specified marginal model was fitted using Generalized Estimating Equations to compare weight trends for patients with good and poor outcome adjusting for potential confounders.

Our primary analyses will be based on changes in two outcomes: depressive symptoms, and a multivariable, scaled marginal model for the combined outcome of global disease control (i.e., A1c, systolic blood pressure, LDL cholesterol).

The participants provided repeated and mutually dependent cortisol samples and since our interest was on the comparison of the different demand-control categories with each other at each point in time we used a mixed model approach specifying a marginal means model.