The analysis of rates and of survivorship using log-linear models.

@article{Holford1980TheAO,
  title={The analysis of rates and of survivorship using log-linear models.},
  author={Theodore Holford},
  journal={Biometrics},
  year={1980},
  volume={36 2},
  pages={
          299-305
        }
}
Models are considered in which the underlying rate at which events occur has a log-linear relationship with covariates. It is shown that the estimation of parameters involves the solution of identical systems of equations for data from either a Poisson process, an exponential distribution, a survival model or a generalized log-linear model. This enables one to use algorithms for fitting log-linear models, such as iterative proportional fitting (IPF), for the analysis of rates or survivorship. 

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