Key Points 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 ...

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 ...

PurposeUpfront, discrete data capture in synoptic reporting fails when pathologists choose a response not associated with discrete data. We sought to determine the factors associated with this ...

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 ...

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 ...

Advancements in discrete data delivery and EHR technology have enabled the shift to incorporating insights from multimodal data. (A) The number of discrete data integrations between molecular testing ...

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 ...