Problems associated with the use of multivariate analysis to produce useful prognostic groupings in patients from different centres, are discussed.
Chromatographic fingerprinting as e.g. used in metabolomics experiments usually requires the use of multivariate techniques in order to obtain useful information.
Our analytical review, including the largest number of studies to date, the use of multivariate approaches, and the study weighting by sample size, contradicts some previous findings.
van Heel, M. & Frank, J. Use of multivariate statistics in analysing the images of biological macromolecules.
Due to the use of multivariate properties, this method can detect subtle changes in spatially distributed patterns greater sensitivity.
Multi-phenotype analysis has drawn increasing attention to high-throughput genomic studies, whereas only a few applications have justified the use of multivariate techniques.
We complemented our mass-univariate analysis by the use of multivariate pattern analysis provided by PRoNTo 2.0 (http://www.mlnl.cs.ucl.ac.uk/pronto) implemented in Matlab.
Special attention is given to the use of multivariate analyses in the High Level Trigger.
The evaluation of the results requires the use of multivariate calibration; partial least squares regression was employed.
This paper advocates the use of multivariate Poisson-lognormal (MVPLN) regression to develop models for collision count data.
