Sentence examples for multilevel data and from inspiring English sources

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

Improved understanding of moonlighting functions of proteins can be a touchstone for our knowledge of molecular biology, because it requires comprehensive, multilevel data and deep knowledge of the cell.

However, more recent studies using multilevel data and multilevel statistical techniques suggest that evidence in support of association particularly at the aggregate levels such as counties and states[ 26].

These conditions, for example, include small and unbalanced sample size between groups (Woods 2009), short tests (Paek and Wilson 2011), various levels of DIF contamination (Finch 2005), multilevel data (French and Finch 2010), violation of the normality assumption of latent traits (Woods 2011), and violation of the unidimensionality assumption (Lee et al. 2009).

Resistive random access memory (RRAM) with a simple metal-insulator-metal structure shows promising characteristics in terms of scalability, low power operation, and multilevel data storage capability and is suitable for next-generation memory applications[1 4].

In complex situations such as regression on several variables, designed experiments, multivariate data, and multilevel data, a data point may be inconsistent with the pattern of the main data, and thus outlying, but not perceivable by inspection.

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).

Students practice applying statistical methods to real-world data and encounter issues such as outliers, measurement error, and multilevel data structures.

The novel approach and multilevel data included here provide additional perspective regarding consumer behaviour and the importance of intervening on tobacco marketing.

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

Specifically, the outcomes of changes in foreign investment and state ownership need to be examined using multilevel data, linking macro-effects and micro-effects.