Regression Analysis of Count Data

William H. Holmes () and William C. Rinaman ()
Additional contact information
William H. Holmes: Le Moyne College

Chapter 17 in Statistical Literacy for Clinical Practitioners, 2014, pp 451-479 from Springer

Abstract: Abstract This chapter reviews negative binomial regression. Often used to document incidence and mortality rates, this form of regression generates a rate ratio to assess the degree of relationship between a predictor variable and the frequency with which an event occurs over a given period of time. The chapter begins with a discussion of the case of a single predictor variable, and then moves on to a discussion of two or more predictors, and of testing for the presence of interactions. As an example of the difference between cumulative incidence and incidence rate, the concept of person-years, and the use of an offset variable, the chapter concludes with an application of negative binomial regression to count data collected over unequal follow-up times.

Keywords: Coronary Heart Disease; Generalize Linear Model; Rate Ratio; Wald Test; Negative Binomial Regression (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-12550-3_17

Ordering information: This item can be ordered from
http://www.springer.com/9783319125503

DOI: 10.1007/978-3-319-12550-3_17

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().