Abstract
In Chapter 10 we introduced some contemporary approaches to analyzing longitudinal data for which the responses are continuous measurements. In fact, most people imply continuous responses when they refer to longitudinal data. The analysis of discrete longitudinal data is a relatively new, though active, subject. Readers who are interested in methodological developments may find many unanswered questions in this chapter. The purpose of this chapter is to shed some light on this growing subject. In the statistical literature, the topic may be tagged with clustered or correlated discrete/binary outcomes. So far, most progress has been made toward the binary outcomes; hence, therein lies the focus of this chapter.
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
© 1999 Springer Science+Business Media New York
About this chapter
Cite this chapter
Zhang, H., Singer, B. (1999). Analysis of Multiple Discrete Responses. In: Recursive Partitioning in the Health Sciences. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3027-2_11
Download citation
DOI: https://doi.org/10.1007/978-1-4757-3027-2_11
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-3029-6
Online ISBN: 978-1-4757-3027-2
eBook Packages: Springer Book Archive