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 ...
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: ...
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 ...
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 ...
Chapman and Hall/CRC. CRC Press. Fellows of the Royal Statistical Society can purchase this and other CRC Press books at a 20% discount using the online promotion code HUC88RSS5. Datasets, SPSS (v.10) ...
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 ...