Sentence examples for both random intercept and from inspiring English sources

We used the restricted maximum likelihood (REML) to determine the optimal random effects structure of our models (i.e. random intercept, random slope, or both random intercept and random slope), and maximum likelihood (ML) estimation to compare models with different fixed effects.

We ran models with both random intercept and random slope, and with random intercept only.

Both random intercept and random coefficient models were examined [ 12, 13].

A closer investigation showed that when both random intercept and random slope were statistically significant either the random slope or the random intercept was severely underestimated.

Despite considering the simplest structure for the residuals variance, our model with both random intercept and random slope on time ensures that correlation between repeated measurements is appropriately accounted for.

In the most general case, a standard assumption for a GLMM with both random intercept and slope is that b i =(b0 i, b1 i ) Tfollows a bivariate normal distribution with mean zero and an unknown precision matrix Q= Q depending on parameters ϕ, i.e. b i | Q ∼ iid N 2 (0, Q − 1 ).

We included both random intercepts and random slopes at both the district and governorate level in the model.

We exclude the random slopes, β1 j, from the definition of mortality outliers due to a lack of consensus on how to identify performance outliers using both random intercepts and random slopes.

Both the random intercept and random slope were statistically significant in only a small proportion of these data sets (2.4%).

Therefore, an analysis with both a random intercept and random slopes also reflects the increased probability of having an event.

Equation 1a shows the linear mixed model with only a random intercept, while equation 1b shows the linear mixed model with both a random intercept and a random slope for time.