The application of logistic regression in toxicology is crucial for several reasons:
Risk Assessment: Logistic regression helps in the assessment of risk associated with exposure to various chemical substances. By modeling the probability of adverse health outcomes, toxicologists can identify and quantify the risk factors associated with toxic exposures. Exposure-Response Relationship: This method helps to elucidate the relationship between the level of exposure to a toxin and the probability of an adverse health effect. Understanding this relationship is key to establishing safe exposure limits. Binary Outcomes: Many toxicological studies involve binary outcomes, such as the presence or absence of a health effect, making logistic regression an ideal analytical tool.
