Statistical tools are fundamental in epidemiology for analyzing data and drawing meaningful conclusions. Software like R and SAS can handle large datasets and perform complex regression analyses, survival analyses, and other statistical tests. The integration of these tools with epidemiological methods allows for robust data analysis and helps in identifying significant trends and associations.
