Examples of using Multivariate analysis in English and their translations into Swedish
{-}
-
Colloquial
-
Official
-
Medicine
-
Ecclesiastic
-
Ecclesiastic
-
Official/political
-
Computer
-
Programming
-
Political
Postdoctoral position(2 years) in multivariate analysis and deep learning.
Multivariate analysis is often used when large datasets which contains many variables are evaluated.
We have developed methods to estimate uncertainty in estimates obtained by multivariate analysis.
By using multivariate analysis typical process parameters have been correlated to the treatment activity.
In this project we will develop new e-science methods that fundamentally integrates deep learning and multivariate analysis.
Multivariate analysis identified three factors that were independently associated with disengagement.
and classical multivariate analysis MANOVA.
Multivariate Analysis: A set of techniques used when variation in several variables has to be studied simultaneously.
non-parametric methods and multivariate analysis should be used in analysis of questionnaries responses.
In a multivariate analysis, age was not found to be an independent factor of any of the pharmacokinetic parameters studied.
Von Rosen's research profile comprises linear models, multivariate analysis, bilinear models,
Extensive multivariate analysis compared the recorded levels of participation to those that could be modelled using seasonal weather fluctuations.
Department of Chemistry is looking for a postdoctor to a project where we will develop new e-science methods that fundamentally integrates Deep Learning and Multivariate analysis.
Measuring more things means that multivariate analysis and principal component analysis could be good solutions.
no difference emerged on multivariate analysis.
Elderly(see section 4.2) In a multivariate analysis, age was not found to be an independent factor of any of the pharmacokinetic parameters studied.
The goal of this project is the integration of these new advanced data analytics solutions that builds on the complementary values of deep learning and multivariate analysis to model complex systems.
Multivariate Analysis Part of the research in this field focuses on sample spaces with constraints,
Data analysis is done using methods such as univariate analysis, multivariate analysis(both supervised and unsupervised), and multiway methods and the biomarker candidate is identified.
was not included in the final multivariate analysis.
Furthermore, a multivariate analysis has been completed in order to discover any connections between the dependent variable,
significant difference at first, further multivariate analysis of the peak SUV as a continuous variable showed it was significantly associated with survival(hazard ratio= 1.09).
Clinical characteristics of never smoker, adenocarcinoma histology, and female gender have been shown to be independent predictors of positive EGFR mutation status in a multivariate analysis of 786 Caucasian patients from gefitinib studies* see Table 7.
experimental design(Multivariate Analysis and Experimental Design),
The purpose of this study was to investigate whether it is possible, from the more easily measured variables, to obtain information on those which require more extensive analysis. This was done by using multivariate analysis to create models attempting to explain the variation in these variables.
Multivariate analysis showed that patients with cardiovascular disease,
not water was also significantly associated with shorter time to first bowel movement in multivariate analysis, as was having an American Society of Anesthesiologists grade of II
Multivariate analysis showed that the pharmacokinetics of clofarabine are weight dependent
for example how multivariate analysis technology can be used to train and fine-tune deep learning models and vice-versa, how deep learning can be used as pretreatment tool for multivariate analysis.
exploratory multivariate analysis indicated that nivolumab-treated patients with poorer prognostic features and/or aggressive disease when combined with lower(e.g.<