5
votes
Accepted
Why can't we use AIC and p-value variable selection within the same model building exercise?
AIC is more a model selection method in which you do not favour some null hypothesis.
Contrary to this, with a hypothesis test (and with p-values) you choose to reject or not reject a null hypothesis ...
- 46.5k
4
votes
Detection Function in Distance Sampling, R
This is actually a common situation encountered in distance sampling data.
If you have too many distances near 0 you can actually get an HR to fit much better than a half normal, leading to ...
- 411
1
vote
Stepwise model selection by AIC
Preamble: Avoid doing stepwise model selection via AIC if there are plan to use the model for anything else other than prediction. Please see this thread for more details: Algorithms for automatic ...
- 35k
1
vote
Why does AIC model rank order change in lme models with standardization of predictor variables?
I had a very similar problem that a scatterplot showed a negative trend between my variable of interest Y and elevation but my lme model Y ~ elev... had a higher AIC than the null model: Y ~ 1.... I ...
- 11
1
vote
Equivalence of AIC and p-values in model selection
Maybe some detailed explanation about the excellent answer of @Frank Harrell
The test statistic of a Likelihood-ratio test (LRT) is defined as (Wikipedia)
$$
\lambda_{\text{LR}} = -2(\ell_0 - \ell_A)
$...
- 121
Only top scored, non community-wiki answers of a minimum length are eligible