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Poisson Regression and Proportional Hazards Model

The observations of the censoring variable Wi come from the Poisson distribution, a member of the exponential family. The logarithm of the parameter /r, is linked to the linear predictor rj. The observations are independent. Clearly the proportional hazards model is a generalized linear model and can be analyzed the same way as the Poisson regression model. [Pg.217]


See other pages where Poisson Regression and Proportional Hazards Model is mentioned: [Pg.204]    [Pg.206]    [Pg.208]    [Pg.210]    [Pg.212]    [Pg.218]    [Pg.222]    [Pg.224]    [Pg.226]    [Pg.228]    [Pg.232]    [Pg.234]    [Pg.204]    [Pg.206]    [Pg.208]    [Pg.210]    [Pg.212]    [Pg.218]    [Pg.222]    [Pg.224]    [Pg.226]    [Pg.228]    [Pg.232]    [Pg.234]    [Pg.216]    [Pg.22]    [Pg.174]    [Pg.204]    [Pg.333]   


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