‘Multivariate analysis' implies a statistical analysis with multiple outcomes. In contrast, 'multivariable analysis' is a statistical tool for determining the relative contributions of various factors to a single event or outcome.

Intersting issue

As I understand multivariable refers to analyses with multiple independent variables, e.g. a logisitc regression, multiple linear regression, cox model, whereas multivariate refers to analyses with multiple outcomes, e.g. repeated measures analyses.

See also this reference on the topic:

https://academic.oup.com/ntr/advance-article/doi/10.1093/ntr/ntaa055/5812038

Thank you very much for your suggestion and I agree with your point, but still there is a gap in across different scholar in use of these two terms.

‘Multivariate analysis' implies a statistical analysis with multiple outcomes. In contrast, 'multivariable analysis' is a statistical tool for determining the relative contributions of various factors to a single event or outcome.

The distinction is discussed/explained at the link below:

https://stats.stackexchange.com/questions/2358/explain-the-difference-between-multiple-regression-and-multivariate-regression

Hi Daniel Bekele ,

Let's consider both sides of the equation:

Multivariable means that:

multiple independent variable (X1, ..., Xn) = one dependent variable (Y only)

Multivariate means that:

Multiple independent variables (X1, ..., Xn) = multiple dependent variables (Y1, ..., Yk)

Best,