Data interpretation is another area where difficulties arise. Toxicological data can be complex and multifactorial, often requiring sophisticated statistical analysis. Misinterpretation of data, whether due to bias, overfitting, or misunderstanding of statistical methods, can lead to erroneous conclusions. Peer review processes aim to mitigate these issues, but they are not foolproof. Moreover, the publication bias toward positive results further complicates the verification process.
