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

In this case, the FIGO effect is confounded by the effect of age, and a multivariate analysis is required to adjust for the differences in the age distribution. The appropriate analysis is a form ...

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 ...

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 ...

For that reason, multivariate monitoring, or multivariate statistics, is applied to these parameters. Multivariate analysis, also known as multivariate ... pressure and the flow in a tool. According ...

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 ...

Monte Carlo analysis is a kind of multivariate modeling technique. All multivariate models can be thought of as complex illustrations of "what if?" scenarios. Some of the best-known multivariate ...