Sentence examples for multilevel data the from inspiring English sources

For multilevel data, the resulting model is called the multilevel sequential binary logit model (MBL).

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.

It is a consequence of making estimates from multilevel data where the numbers of events are too small to allow the multilevel effects to be adjusted for.

These efforts contributed to the transfer and integration of distributed, heterogeneous and multilevel data across the major realms of translational bioinformatics.

These multivariate and multilevel data of the primary tumour (when available) and multiple metastases were analysed with the SAS procedure GENMOD, assuming an exchangeable correlation structure (Diggle et al, 1994).

In this context, the multilevel data integration realised by the G2SBC Database provides some insights on the characterisation of the different breast cancer types in terms of genes and biochemical pathways.

Across the literature that we reviewed we saw very little comprehensive analysis of the kind that Holden and others have argued for elsewhere [ 127] – analyses that use multilevel data relating to the level of the firm or organisation, to the national level, to regional processes and institutions and to international organisations and agreements, and the interactions between these.

The conceptual framework for evaluating large-scale tobacco control interventions developed by the expert group from Western Europe suggests using multilevel data to assess the various short-term (policies), intermediate (eg, behaviours and attitudes) and long-term outcomes (eg, morbidity and mortality).

To assess the impact of clustering and to deal with multilevel data, we performed the multi-level mixed effects logistic model (xtmelogit) using Stata/SE 11.2 for Windows (2009 StataCorp LP) with Adaptive Gauss-Hermite quadrature approximation (to improve the accuracy of estimation).

Formulate a research question that addresses the multilevel data structure; Check preconditions, familiarize yourself with the variables of interest; Generate graphs and perform correlation analysis; Interpret results.

In addition, the current study makes use of the multilevel data structure, which not only ensures effectiveness in estimating regression coefficients but also allows for the examination of interactions between the micro and macro variables.