Discrete data is categorical data, rather than continuous measurements. It can be treated as continuous data, but that depends on the measurements set. It allows you to quantify things like pass ...

Multidimensional data arise when a number of different response variables are required to measure the outcome of interest. Examples of such outcomes include quality of life, cognitive ability, and ...

Continuous data can be turned into categorical data, but it doesn’t necessarily have to be presented this way. For example, when people register for a company’s website they have to choose ...

Helena Geys, Meredith M. Regan, Paul J. Catalano, Geert Molenberghs, Two Latent Variable Risk Assessment Approaches for Mixed Continuous and Discrete Outcomes from Developmental Toxicity Data, Journal ...