Missing values can lead to biased estimates and decreased statistical power, which hinders the ability to detect true relationships between variables. In toxicology, where precise data is critical for understanding dose-response relationships and toxic thresholds, missing data can obscure these interactions, leading to potentially erroneous conclusions about the safety or risk of substances.
