Sentence examples for multivariate databases from inspiring English sources

Thus, we aimed to validate the CDS in patients with HF using Mokken scaling analysis (MSA), a method related to item response theory that analyses multivariate databases for unidimensional hierarchies of items [ 30].

To address the large number of variables within this database, PCA was employed as it allowed us to examine associations in large and complex multivariate databases that requires no a priori assumptions about the data and is thus ideal for exploratory data analysis (15).

This paper discusses the assembly of a multivariate spatial database of biologically significant physical environmental parameters (e.g. mean annual rainfall, minimum temperature, soil wetness) using environmental modeling techniques, and the visualization and interactive query of this database in landscape planning.

Then based on the database, multivariate parametric regression is applied to obtain the explicit function form.

Global metabolic profiling with UHPLC/MS (ultra high-performance liquid chromatography mass spectrometry), multivariate analysis and database searching were performed to discover differentiating metabolites.

Using claims information from the Premier Perspective™ database, multivariate logistic regression was used to estimate the risk of infection.

For the multivariate analyses, these database definitions were grouped to more closely approximate commonly used definitions such as those proposed by the Canadian Hypertensive Society and other international organizations [ 4].

Multivariate analysis of database of 8357 patients defined diabetes as an independent risk factor with an odd ratio of 1.6 [ 4], and prediabetes was found to increase the risk of CIN [ 6].

This paper describes an analysis and complete classification of all HA and NA gene sequences available in public databases using multivariate and phylogenetic methods.

Incremental effects and costs between groups will be modelled in each of the imputed databases using multivariate generalized linear models and then combined as per Rubin's rules.

First, while we adjusted for several important patient-, physiciand and hospital-related characteristics in our multivariate analyses, our administrative databases do not contain information on in-hospital pharmacological treatment including thrombolytic therapy or detailed clinical characteristics that could confound our analyses.