Why is Covariance Matrix Important in Epidemiology?
In epidemiological studies, understanding the covariance between different health metrics or risk factors is crucial for identifying potential associations and causal relationships. For example, a covariance matrix can help researchers understand how different risk factors interact with each other and how they collectively impact the outcome of interest, such as the incidence of a disease.
