Sentences with phrase «results multilevel modeling»

Results Multilevel modeling showed metabolic control deteriorated with age.

comorbidities [2], it is not surprising that they are at high Results Multilevel modeling of data from 158 couples risk for experiencing psychological

Not exact matches

To estimate the proportion of each racial disparity attributable to within - plan differences and to determine the correlation between the outcome measure results and racial disparities in the results, we fitted multilevel linear regression models predicting the result of each HEDIS indicator.

Finally, we describe the results of our multilevel probit models, which considered each brief's raw readability score without regard to the opposing brief's readability.

The results of the multilevel modeling revealed mixed support for our predictions.

In support of these results, multilevel modeling of the outcomes revealed the predicted time × condition interaction for the primary outcome of clinician - rated PTSD symptom severity (t37.5 = − 3.09; P =.004) and for patient - reported relationship satisfaction (t68.5 = 2.00; P =.049).

Combining all of our explanatory indicators, Table 4 shows the results of five multilevel models.

In sum, given the results from our simulation study and the empirical applications, we conclude that the multilevel TAR model is a valuable addition to the available techniques for analyzing intensive longitudinal data.

Based on the results of our simulations, we can conclude that Bayesian estimation of the multilevel TAR model is feasible for the sample sizes under consideration, and yields accurate estimates of the average inertias and threshold.

The results of multilevel regression models fail to support these hypotheses; adolescents who reside in single - parent or stepparent families are at heightened risk of drug use irrespective of community context.

Van den Noortgate and Onghena (2003) compared multilevel meta - analysis with traditional meta - analytic methods and concluded that maximum likelihood multilevel approach is in general superior to the fixed - effects approaches and that the results of the multilevel approach are not substantially different from the results of the traditional random - effects approaches for intercept only models.

Table 2 presents results from the multilevel models with functional limitations, disability, and self - rated health as outcomes.

To deal with dependency of study results, we used a multilevel random effects model for the calculation of combined effect sizes and moderator - analyses (Hox 2002; Van den Noortgate and Onghena 2003).

A multilevel random effects model accounts for the hierarchical structure of the data, in which the effect sizes or study results (the lowest level) are nested within studies (the highest level).