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

Biometrics. 1980 Jun;36(2):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.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Epidemiologic Methods*
  • Lung Neoplasms / mortality
  • Models, Theoretical*
  • Mortality*
  • Neoplasm Staging
  • Probability
  • Time Factors