AUTOR(ES): Jewell, N; Hubbards, A.
ANO: 2006
RESUMO: In this chapter, we discuss methods that model counts. In a longitudinal setting, these counts typically result from the collapsing repeated binary events on subjects measured over some time period to a single count (e.g., number of episodes of diarrhea, as in the HIV/drinking water study). We start by discussing the most popular distribution for modelling counts, the Poisson distribution and Poisson regression (note, in the next chapter, we link Poisson regression directly to survival analysis). The chapter is finished by presenting a slightly bigger model, the negative binomial distribution, which handles some situations where the Poisson model is a poor fit.
FONTE:
REFERENCIA: JEWELL, N; HUBBARDS, A. Modelling Counts-The Poisson and Negative Binomial Regression, Chap. (Available at:)in: J Zidek, MA Tanner (Eds.) Analyis of longitudinal studies in epidemiology. Chapman & Hall/CRC Texts in Statistical Science, 2006.
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