A Type I error, also known as a false positive, occurs when a statistical test incorrectly rejects a true null hypothesis. In other words, it indicates a significant effect or association where none actually exists. This error is especially critical in epidemiology because it can lead to incorrect conclusions and potentially harmful public health decisions.
