Sentence examples for marginal models and from inspiring English sources
In addition to marginal models and mixed-effects models, this book covers topics on joint regression analysis based on Gaussian copulas and generalized state space models for longitudinal data from long time series.
Two types of models can be used for analyzing clustered data: marginal models and conditional models [ 9].
Of note, using marginal models and generalized estimating equations accounts for potential dependence between test results of samples from the same patient.
This observation allows a better selection of the correlation structure, avoiding the use of an exchangeable working correlation matrix in marginal models, and introducing a random slope in random effect models.
There are two large families of statistical models that account for the correlation in different ways, leading to estimated parameters that have different interpretations, which are denoted as marginal models and random effects models [ 26].
Individual-level analysis models, such as population-averaged (PA) models (also called marginal models) and cluster-specific (CS) models (also called conditional models), have been advocated for the analysis of CRTs with binary outcomes since they allow for the possible imbalance of both cluster-level and individual-level characteristics to be incorporated into the analysis.
The WLW-TT model is a marginal model and assumes a common baseline hazard for all injuries within a player.
First, performance of the marginal model and cluster-specific model was assessed only for CRTs with a completely randomized design.
It is important to note that the p × 1 vectors β in the marginal model and β* in the random effects model are not equal.
Three of these were also significant in the marginal model and the remaining four all had the same sign under both models.
It should be noted that the GEE and random effects models do not estimate the same parameters, since GEE is a marginal model and the random effects allows the estimation of individual effects.
