Censoring is crucial because it affects the statistical analysis and interpretation of toxicological data. Ignoring censored data can lead to biased estimates of toxicological parameters, such as the concentration at which a substance begins to elicit a biological response. Properly accounting for censored data ensures more accurate risk assessments and regulatory decisions.
