… Regarding estimation, we focus primarily on marginal … we still focus on a single binary
outcome, in contrast to the … When only random intercepts are considered, the correlations …

… used in the context of mixed effects models for binary outcomes. … mass at zero) for modeling
correlated survival data with a … the terms that make up the marginal log-likelihood (2.6), we …

… marginal likelihood obtained by integrating out the random … eralized linear mixed models
with binary outcomes. Statistics … Generalized linear and nonlinear models for correlated data: …

… bivariate Gaussian distribution with correlation \(\theta \); \(\… Note that the marginal CDFs
are conditioned on covariates (… this when expressing the marginal distributions. Some of the …

… However, the marginal mean structure, when integrated over the random-effects distribution…
In the analysis of correlated binary data using random-intercept models, the marginal effect …

… the conditional model before turning to the marginal model. … on the random intercept is
affected since the random intercept … proposed approach to correlated binary data modeling, we …

… -cluster correlations by specifying random effects while still allowing for … marginal means.
For the HET-CAM V T dataset, we will focus on the case of random intercept as the only random …

… interaction measures for binary outcomes, we evaluated the … relative risks for studies with
correlated binary data (46, 47). … In contrast to the marginal models, there were difficulties in …

… For inferences about the marginal mean of a binary outcome … bounds, are smooth in model
parameters, therefore allowing … the IV and the outcome in view are correlated in the observed …

… a random intercept or random intercept and slope model is specified to induce correlation. …
to parsimoniously generate correlated count data with prespecified marginal mean function …