Multivariate analysis aiming to interpret the governing processes through data reduction and classification is recognized as powerful tool to deal with the increasing number of hydrochemical parameters.
Using mature (2010) data from the phase 3 trial [ 8], this multivariate analysis aimed to identify potential predictors of survival and response in this older population with AML.
As far as the authors can ascertain, this is the first study, using the standardized test described by the European multicenter study [ 33] and multivariate analysis, aimed specifically at evaluating mHLA-DR expression in a cohort of severe trauma patients.
Multivariate analysis aimed at estimating the role of age, ulcer's position, ASA score, type of treatment, number of transfusions and number of EGDSs on hospital mortality and morbidity was performed with the use of the blocks model.
By combining a multivariate analysis aimed at investigating the population genetic structure, with a Bayesian approach used to test models and extent of migration, we were able to detect a stepping-stone migration model as the best descriptor of gene flow across the region, with the main discontinuities corresponding to forested areas.
The multivariate analysis aimed to investigate the association of FIGO stage, grade and p53 status with primary cytoreduction in 136 stage III IV patients showed that stage IV disease may influence the possibility to perform primary cytoreduction in ovarian cancer patients.
The findings regarding associations of FPG, 2-h PG, and A1C with retinopathy from the Pima Indians in the ADA 1997 report describing diagnostic thresholds of each glycemic parameter were derived by univariate analyses, and the multivariate analysis aiming at identifying the best glycemic parameters for diagnosis has never been reported.
Based on three distinct but complementary readings (in situ visual analysis, land use change analysis (1968 1997) and sociodemographic information surveys), and on the possibilities generated by multivariate analysis, it aims to identify: (1) residential settlement patterns according to landscape contexts and (2) local landscape transformations.
These disparities may be led by the difference of the statistical methods, the univariate regression analysis help us investigate whether a relationship exists between two paired variables, however, multivariate regression analysis aims to determine which variables influence the outcome among a set of variables.
In summary, we were able to distinguish between samples from conventional and organic production using samples from a rigidly controlled field trial and a multivariate analysis approach aimed at avoiding over-fitting.
