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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