Regression Methods for Poisson Process Data

摘要: Abstract This article is directed toward situations where individuals can experience repeated events, and data on an individual consist of the number occurrence times along with concomitant variables. Methods regression analysis are presented, based Poisson process proportional intensity assumptions. These include parametric semi-parametric approaches to model fitting, assessment, treatment random effects. In addition, insight gained as central role mixed counts in these methods, effects unobserved heterogeneity analyses. The methods model, for which given fixed covariate vector x has events occur according a nonhomogeneous function λx(t) = λ0(t)exp(x′β). Estimation β baseline λ0(t) considered when specifi...