Sentence examples for multilevel data in from inspiring English sources

Hierarchical models are a natural solution for analyzing such multilevel data in a single model, since they explicitly account for conditional independences present in the hierarchical structure (Lee, in press).

Despite the fact that we have not used any multilevel data in this analysis, as in the original model, it has been a good starting point for analysing the relations between antecedent neighbourhood factors, social cohesion, social capital, individual factors, health risk factors and health.

Ignoring the clustering present in multilevel data, as occurs in ordinary logistic regression, results in an artificially inflated number of independent observations at the hospital level of the hierarchy, and hence is likely to underestimate the magnitude of the standard error for the effect of hospital-level characteristics.

Multilevel data structures also arise in longitudinal studies where measurements are clustered within individuals.

Treatment effects were considered in multilevel data analysis with a log-link function using the "xtpoisson" command.

Multilevel logistic regression model is an extension of fixed effect logistic regression, incorporating random effects into the model in order to deal with the intraclass correlation coefficient (ICC) that arises in multilevel data.

The application of such strategies generates complex, multilevel data sets, but only in this way will our models begin to approach the true complexity of associations as they exist in nature.

Because these simulations cannot be performed in multilevel data, the unilevel equivalent of the n of the multilevel data set was calculated using the following formulaes [ 40]. (1) MF = 1 + 9 – 1 * 0.6 = 5.8 (2) uen = 51 * 9 / 5.8 = 79 In which 9 is the number of assessments per person, 51 is the number of persons and 0.6 is the intra class correlation.

An operator interface procedure and a package of input output graphic routines, managed through a multilevel data base, are now active in this framework and interact with lumped mass and finite elements modules.

Through the use of multilevel data, it examines whether significant differences in the relationship exist among people of different age groups or from different regions.

Our examination of contextual factors related to body satisfaction in children using multilevel data and analytic methods is novel.