Toxicologists employ various statistical techniques to handle censored data:
Survival Analysis: Techniques such as the Kaplan-Meier estimator and Cox proportional hazards model are frequently used. These methods allow for the inclusion of censored observations by estimating the probability of survival over time. Maximum Likelihood Estimation (MLE): MLE can be adapted to account for censored data, providing a framework for estimating parameters in the presence of incomplete observations. Multiple Imputation: This approach involves creating multiple datasets by imputing censored values based on observed data patterns, followed by analysis and pooling of results.
