Despite its importance, statistical analysis can be fraught with pitfalls. Common issues include:
P-Hacking: Manipulating data or conducting multiple tests until a statistically significant result is found. Overfitting: Creating a model that fits the sample data too closely, capturing noise rather than the underlying pattern. Misinterpretation: Drawing incorrect conclusions from the data due to a lack of understanding of statistical principles or biological context.