What Statistical Techniques Are Commonly Used in Epidemiology?
Several statistical techniques are commonly used in epidemiology to analyze and interpret data:
1. Descriptive Statistics: Used to summarize and describe the main features of a dataset. This includes measures of central tendency (mean, median, mode) and measures of dispersion (range, variance, standard deviation). 2. Inferential Statistics: These methods allow for making inferences about a population based on a sample. Techniques include hypothesis testing, confidence intervals, and p-values. 3. Regression Analysis: Linear regression and logistic regression are widely used to examine relationships between variables and predict outcomes. 4. Survival Analysis: Techniques like Kaplan-Meier curves and Cox proportional hazards models are used to analyze time-to-event data.
