Abstract
Discrete data are encountered all over biomedical research. Basically a discrete variable is a characteristic that varies over patients but can occur in only a few different values. Gender is a typical example of a variable that can have two values “male” or “female”, and “death” or “alive” is another example of a discrete variable. Variables that can attain only two values are called dichotomous or binary. Typical examples of discrete variables with more than two values are, e.g., blood type (A, B, AB, O), genotype in general, race.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer Science+Business Media New York
About this chapter
Cite this chapter
Cleophas, T.J., Zwinderman, A.H., Cleophas, T.F. (2002). Proportional Data Analysis: Part 2. In: Statistics Applied to Clinical Trials: Self-Assessment Book. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0285-1_5
Download citation
DOI: https://doi.org/10.1007/978-94-010-0285-1_5
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-1096-5
Online ISBN: 978-94-010-0285-1
eBook Packages: Springer Book Archive