Data analysis in epidemiology involves several key steps:
1. Data Cleaning: Ensuring the data is accurate by removing errors and inconsistencies. 2. Descriptive Statistics: Summarizing the data using measures such as mean, median, and mode. 3. Inferential Statistics: Making predictions or inferences about a population based on a sample. 4. Modeling: Using statistical models to understand the relationships between variables.
