Log-binomial models: exploring failed convergence

@inproceedings{Williamson2013LogbinomialME,
  title={Log-binomial models: exploring failed convergence},
  author={Tyler Williamson and Misha Eliasziw and Gordon Hilton Fick},
  booktitle={Emerging Themes in Epidemiology},
  year={2013}
}
BackgroundRelative risk is a summary metric that is commonly used in epidemiological investigations. Increasingly, epidemiologists are using log-binomial models to study the impact of a set of predictor variables on a single binary outcome, as they naturally offer relative risks. However, standard statistical software may report failed convergence when attempting to fit log-binomial models in certain settings. The methods that have been proposed in the literature for dealing with failed… CONTINUE READING

Figures, Tables, and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 40 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 20 REFERENCES

Probability and Statistical Inference

VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Overestimation of risk ratios by odds ratios in trials and cohort studies: alternatives to logistic regression.

  • CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne
  • 2012
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

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

  • American journal of epidemiology
  • 1986
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

A Simple Guide to SPSS for Version 17.0

L Kirkpatrick, B Feeney
  • Belmont: Cengage Learning;
  • 2010
VIEW 1 EXCERPT