Mean imputation is a straightforward statistical technique where missing values in a dataset are replaced with the mean of the available observations for a particular variable. While it is simple and easy to implement, it has both advantages and drawbacks, especially in disciplines like toxicology where data integrity is paramount for accurate toxicity assessment.