This video takes us from the univariate ACE model to a multivariate ACE model: from ACE to MACE. We begin with a review of the univariate ACE model, and then extend this to two phenotypes as a ...

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: ...

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 ...

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 ...

Emphasis will be placed on achieving a conceptual understanding of the methods in order to implement and interpret the outcomes of multivariate analyses. The fourth number of the course code shows the ...

This video introduces a theory-driven multivariate behavior genetics model: the independent pathway model. The independent pathway model, also called the biometric factor model, first creates ...

Neill, Daniel B., Edward McFowland III, and Huanian Zheng. "Fast Subset Scan for Multivariate Spatial Biosurveillance." Emerging Health Threats Journal 4, Suppl. 1 ...

For patients undergoing elective surgery, intraoperative use of remifentanil and sufentanil is independently associated with a poorer postoperative pain experience.

LCGC International spoke to Paul-Albert Schneide and Oskar Munk Kronik about the development and application of a novel ...