The Cox (proportional hazards or PH) model (Cox, 1972) is the most commonly used multivariate approach for analysing survival time data in medical research. It is a survival analysis regression ...

An introduction to the theory and application of modern multivariate methods used in the Social Sciences: Multivariate normal distribution, principal components analysis, factor analysis, latent ...

Whenever you have a problem with more than two variables to sort out, multivariate analysis can offer you an answer. It's used in a variety of fields that require the examination of statistical ...

The course will assume a knowledge of standard linear regression models, to the level covered in MY452 (Applied Regression Analysis). An introduction to the application of modern multivariate methods ...

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 ...

Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might measure each ...

Multivariate analyses such as principal component analysis were among the first statistical methods employed to extract information from genetic markers. From their early applications to current ...

For that reason, multivariate monitoring, or multivariate statistics, is applied to these parameters. Multivariate analysis, also known as multivariate monitoring, enables the detection of issues that ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several ...