The primary goal of any imputation strategy is to maintain the integrity of the dataset. Mode imputation is particularly useful in toxicology for several reasons:
Preservation of Distribution: Mode imputation helps maintain the original distribution of categorical data, which is crucial for valid statistical analysis and interpretation. Ease of Implementation: It is a straightforward method that does not require complex calculations, making it accessible for researchers without advanced statistical knowledge. Applicability to Categorical Data: Many toxicological datasets include categorical variables such as exposure levels, response categories, or presence/absence of symptoms, where mode imputation is particularly effective.
