What Are the Benefits of Using Multiple Imputation in Toxicology?
Improved Estimates: By incorporating the uncertainty due to missing data, multiple imputation provides more accurate estimates compared to single imputation methods. Preservation of Data Relationships: It maintains the relationships between variables, which is crucial in toxicological studies where interactions can be complex. Flexibility: Multiple imputation can handle different types of data and missing data patterns, making it suitable for diverse toxicological datasets. Bias Reduction: By using all available data, it reduces the bias that might occur from analyzing only complete cases.
