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 ...

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 following is a summary of “Associations Between Sleep Duration and Various Metabolic Health Indices Among Adults in the United States: A Multivariate Analysis of Variance (MANOVA) Using National ...

Peter teaches and performs statistical research with a focus on advanced statistical methods, regression analysis, multivariate analysis, mathematical statistics, and data mining. His teaching ...

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 ...