Multi-variate statistics
\ˈmʌlti\-variate \stəˈtɪstɪks\
A branch of statistics that examines relationships and interdependencies among multiple variables (or covariates) within a dataset.
In longevity and mortality studies, multi-variate techniques help identify how different factors, such as age, gender, socio-economic status, or health indicators, jointly influence outcomes like life expectancy or mortality risk.
Common techniques include: Generalized Linear Models (GLMs) and Survival analysis. These methods are essential for building predictive models and understanding complex patterns in demographic and actuarial data.
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