An introduction to the application of modern multivariate methods used in the social sciences ... At least the following topics will be covered: principal components analysis, exploratory factor ...
Multivariate analysis of covariance (MANCOVA) is an extension to MANOVA where two or more explanatory variables are compared simultaneously. Canonical correlation analysis (CCA) and other multivariate ...
The following is a summary of “Individual mHLA-DR trajectories in the ICU as predictors of early infections following liver ...
Research methods suitable for the analysis of big datasets containing many variables. The fundamentals of data visualisation, customer segmentation, factor analysis and latent class analysis with ...
TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...
The authors would like to acknowledge the R Special Interest Group for Meta-Analysis mailing list for their thoughtful advice relating to multivariate meta-analysis.
Students must have completed Applied Regression Analysis (MY452). The course will assume a knowledge of standard linear regression models, to the level covered in MY452. An introduction to the ...
3 Produce visualisations of multivariate data using principal components analysis (PCA) and non-metric multi-dimensional scaling (MDS) using statistical software. 4 Perform analyses to relate two sets ...
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