[R-sig-eco] Corrected AIC for binary response variables?

Ben Bolker bolker at ufl.edu
Thu Dec 18 22:54:20 CET 2008


Landis, R Matthew wrote:
> Greetings all,
>
> I'm using logistic regression to investigate mortality of trees.  I'm using AIC to compare models, and I'm wondering if I should use AICc instead of  AIC.  Burnham and Anderson [1] recommend using AICc when n/K < 40.  But what do I consider for n?  The logistic regression is based on 2811 observations (334 trees observed annually for <= 10 yr), but I've only observed 32 deaths.  Harrell [2] would consider 32 to be the "limiting sample size" for determining the feasible number of predictor variables.  Is AIC the same?  Should I use 2811, 334, or 32 to figure out AICc?
>
>
>   

  Great question.  I think I would probably go with 32, but I'd like to 
hear other opinions.

  Ben Bolker



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