Corpus ID: 173991146

Multiplicative Effect Modeling: The General Case

@inproceedings{Yin2019MultiplicativeEM,
  title={Multiplicative Effect Modeling: The General Case},
  author={Jiaqi Yin and Thomas S. Richardson and Linbo Wang},
  year={2019}
}
  • Jiaqi Yin, Thomas S. Richardson, Linbo Wang
  • Published 2019
  • Mathematics
  • Generalized linear models, such as logistic regression, are widely used to model the association between a treatment and a binary outcome as a function of baseline covariates. However, the coefficients of a logistic regression model correspond to log odds ratios, while subject-matter scientists are often interested in relative risks. Although odds ratios are sometimes used to approximate relative risks, this approximation is appropriate only when the outcome of interest is rare for all levels… CONTINUE READING

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