[R-sig-eco] Corrected AIC for binary response variables?
Landis, R Matthew
rlandis at middlebury.edu
Thu Dec 18 22:29:07 CET 2008
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?
Thanks for any help.
Sincerely,
Matt
[1] Burnham K. and D. Anderson. 2002. Model selection and multi-model inference: a practical information-theoretic approach. Springer.
[2] Harrell, F. 2001. Regression modeling strategies. Springer.
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