In toxicology, data integrity is vital for understanding the effects of toxic substances on biological systems. MCAR is important because it allows researchers to employ simpler statistical methods to handle missing data without introducing bias. If data is MCAR, the missing data can be ignored or imputed without significantly altering the study's conclusions. This is because the missing data is a random sample of the entire dataset, thus maintaining the original distribution.
