In statistical analysis, the significance level is a threshold used to determine whether a hypothesis should be rejected. It is denoted by α (alpha) and commonly set at 0.05, 0.01, or 0.001. This threshold represents the probability of committing a Type I error, which is rejecting a true null hypothesis. In the context of epidemiology, selecting an appropriate significance level is crucial for making valid inferences about the relationships between exposures and health outcomes.
