Data analysis in epidemiology involves several steps:
Data Cleaning: Identify and correct errors or inconsistencies in the data. Descriptive Analysis: Summarize the data using measures such as mean, median, and frequency distributions. Inferential Analysis: Use statistical methods to draw conclusions about the population based on the sample data. Techniques may include regression analysis, chi-square tests, and t-tests. Handling Missing Data: Decide how to address missing responses. Options include imputation methods or sensitivity analyses.
