Generalized Linear Models: Checking Assumptions and Strengthening Conclusions

@inproceedings{Breslow2007GeneralizedLM,
  title={Generalized Linear Models: Checking Assumptions and Strengthening Conclusions},
  author={Norman E. Breslow},
  year={2007}
}
Key assumptions that underlie the application of standard generalized linear models (GLMs) include the statistical independence of the observations, the correct speci cation of the link and variance functions, the correct scale for measurement of the explanatory variables and the lack of undue in uence of individual observations on the tted model.. Using data on counts of epileptic seizures before and after treatment (Thall and Vail, 1990) for illustration, this paper reviews methods that may… CONTINUE READING

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