Several advanced techniques are used to analyze complex data in epidemiology:
1. Multivariate Analysis: This involves analyzing more than two variables simultaneously to understand the relationships between them. 2. Machine Learning: Algorithms can be trained to identify patterns and make predictions based on complex datasets. 3. Network Analysis: This method is used to study the relationships between different entities, such as how diseases spread through populations. 4. Longitudinal Studies: These studies follow the same subjects over a long period to observe how variables change over time.
