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/fail ...

Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and continuous data seeming almost opposed at first glance. That said, ...

Journal of Agricultural, Biological, and Environmental Statistics, Vol. 6, No. 3 (Sep., 2001), pp. 340-355 (16 pages) Measurements of both continuous and discrete outcomes are encountered in many ...

Automated Extraction of Grade, Stage, and Quality Information From Transurethral Resection of Bladder Tumor Pathology Reports Using Natural Language Processing “Other” entries occurred in 329 of ...

Choosing the right type of chart helps you display discrete data more effectively. Discrete data consists of whole numbers that are counted rather than measured. For example, when you track items sold ...

Furthermore, EHRs serve as the primary interface for clinicians and laboratories to order tests and receive results, but molecular profiling results and their interpretation often exist outside of the ...

We propose a latent variable model for mixed discrete and continuous outcomes. The model accommodates any mixture of outcomes from an exponential family and allows for arbitrary covariate effects, as ...