Missing data is a common issue in toxicological datasets. Techniques such as imputation methods, including mean imputation, multiple imputation, and k-nearest neighbors imputation, are used to estimate missing values. Choosing the appropriate imputation technique is crucial to maintain the integrity and accuracy of the data analysis.