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Regression Analysis of Count Data

In: Statistical Literacy for Clinical Practitioners

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  • William H. Holmes

    (Le Moyne College)

  • William C. Rinaman

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.

Suggested Citation

  • William H. Holmes & William C. Rinaman, 2014. "Regression Analysis of Count Data," Springer Books, in: Statistical Literacy for Clinical Practitioners, edition 127, chapter 17, pages 451-479, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-12550-3_17
    DOI: 10.1007/978-3-319-12550-3_17
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