A correlation matrix is valuable in epidemiology for several reasons:
1. Identifying Associations: It helps identify associations between risk factors and health outcomes. 2. Data Reduction: By summarizing relationships in a matrix, it simplifies complex data sets, making it easier to interpret. 3. Multivariate Analysis: It is a preliminary step before conducting more complex multivariate analyses, such as regression models.
