Significados de random intercept en inglés

The regional effect was measured using a random intercept on a regional variable.

The random intercept model fit the data better than did the random coefficient model.

We used random intercept logistic regression to explore the sociodemographic determinants of complete immunisation.

Two-level random intercept models were used to analyse associations between activity level and temporal and demographic factors.

To account for matching, the differences in scores between the matched sets of patients were fit as a random intercept.

To measure the effects of the intervention at first post-test and 6-month follow-up, our multilevel analyses used a two-level random intercept model.

Change was modeled using a mixed effects linear regression with a random intercept and fixed effects for time, group, and the time-by-group interaction.

Multi-level logistic mixed-effects models with random intercept and slope investigated the synergistic associations of self-reported OSA, Aβ, and tau burden with prospective cognitive decline.

Associations between infection and factors of interest were assessed via a mixed-effects logistic regression model with a random intercept for submitter to account for clustering.

Multivariable three-level logistic models with random intercepts were run separately by sex.

Random intercepts for each hospital were included to control for clustering.

A two-level hierarchical linear model with random intercepts and slopes was implemented within a structural equation modeling approach.

Random intercept models were calculated to assess the temporal and multilevel relationship between market competition, COC, and hospital admission rate.

Random intercept logistic regression models were used to estimate added value of ORTs on patient characteristics, while accounting for between-study heterogeneity.

Random slopes and random intercepts multilevel models were tested to determine divergence in developmental motor trajectories between groups when controlling for cognitive level.

The IRR was assessed by calculating Pearson correlation coefficients and intraclass correlation coefficients from linear mixed models with patient and rater-level random intercepts.