Comparing two models with different sample sizes

No. The likelihood of a model is given the data. Only compare models based
on the same data. Therefore make sure there are no missing values in the
covariates when comparing models. When na.action = na.omit the model will
silently ignore observations with missing values a covariate.

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx at inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

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To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
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<https://www.inbo.be>


Op wo 6 okt. 2021 om 07:44 schreef Simon Harmel <sim.harmel at gmail.com>:

Dear Colleagues,

I had to remove three extremely outlying (in terms of residuals, cook's
distances, and hat values) observations from my model.

Now, can I compare the fit of my initial model that has three more
observations with my outlier-corrected model using AICc?

Thanks,
Simon

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