What Are the Consequences of Misinterpretation of Results?
Misinterpretation can result from a lack of understanding of statistical methods or biases in data collection. For example, failing to account for confounding variables can lead to incorrect associations between exposures and outcomes. These errors can propagate through public health recommendations, potentially leading to ineffective or harmful interventions.
