Overdispersion can have significant implications for toxicological analysis. It may indicate the presence of unaccounted-for variability or suggest that the data are influenced by additional factors not included in the model. This can affect hypothesis testing, leading to Type I errors, or incorrect conclusions about the effects of a toxicant. Recognizing and addressing overdispersion is essential for ensuring the reliability and validity of toxicological findings.