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"It's like comparing a Model T with a Ferrari".
Comparing a model based on Wikipedia data to this model therefore allows for quite a strong test of its usefulness.
More than half of those articles focused on comparing a model with a reality to monitor progress and detect construction defects.
A logistic regression revealed political affiliation to be a significant predictor of people's crime-fighting suggestions: comparing a model with political affiliation included as a predictor to a constant-only model was statistically significant, χ2 (1, 839) = 3.98, p<.05.
Analyses were performed in PAML by comparing a model with one-rate category to a model that added a neutral rate category and then to a 3rd model that added a category for positively selected sites.
We used unconditional logistic regression to test the null hypothesis of no association between specific multi-marker tagging haplotype and cancer, by comparing a model with terms for subject specific-haplotype indicator with the intercept only model.
We stress that our analysis of the AMBER-99φ force field, and the comparisons made to other force fields, follows a previously outlined goal [7] of comparing a model helical system, the Fs peptide, to known experimental observables on a quantitative basis.
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There are no formal modeling standards you can compare a model with.
To test this hypothesis, we compared a model that included teacher gesture to graphs with a model that included only problem element and the random effects.
Trump then retweeted the below image, which compares a model shot of Melania with an unflattering photograph of Heidi.
We did not show significant non-linearity by the likelihood ratio test that compared a model including a quadratic (or cubic) term with a model excluding it (p>0.85).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com