ABSTRACT
In a book of this kind, an in-depth explanation of the available multivariate statistical techniques is an impossibility. However, as the complexity of problems in toxicology increases, we can expect to confront more frequently data that are not unvariate but rather multivariate (or multidimensional). For example, a multidimensional study might be one in which the animals are being dosed with two materials that interact. Suppose we measure body weight, tumor incidence, and two clinical chemistry values for test material effects and interaction. Our dimensions - or variables - are now: A = dose “x”, B = dose “y”, W = body weight, C = tumor incidence, D and E = levels of clinical chemistry parameters, and possibnly also t(length of dosing).
