Binomial regression in GLIM: estimating risk ratios and risk differences.

@article{Wacholder1986BinomialRI,
  title={Binomial regression in GLIM: estimating risk ratios and risk differences.},
  author={Sholom Wacholder},
  journal={American journal of epidemiology},
  year={1986},
  volume={123 1},
  pages={174-84}
}
Although an estimate of the odds ratio adjusted for other covariates can be obtained by logistic regression, until now there has been no simple way to estimate other interesting parameters such as the risk ratio and risk difference multivariately for prospective binomial data. These parameters can be estimated in the generalized linear model framework by choosing different link functions or transformations of binomial or binary data. Macros for use with the program GLIM provide a simple method… CONTINUE READING

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