In the realm of epidemiology, misleading analysis occurs when data is interpreted in a way that leads to incorrect conclusions. This can happen for various reasons, such as biases in study design, improper data handling, or faulty statistical techniques. Such analyses can have serious implications for public health policies, as they may inform decisions based on inaccurate information.
