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 ...

Types of data include continuous, discrete and categoric. Classifying a variable as a particular type of data is important when considering how to present the data. Data can be presented in a ...

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 ...

A considerable body of literature has arisen over the past 15 years for analyzing univariate repeated measures data. However, it is rare in applied biomedical research for interest to be restricted to ...

Types of data include continuous, discrete and categoric. Classifying a variable as a particular type of data is important when considering how to present the data. Data can be presented in a ...