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T.T.: Now that you're not modeling, do you enjoy having more say in what kind of makeup you'll wear?
Our results demonstrate the importance of several landscape features in modeling DO levels in Arctic lakes and highlight the large amount of variation that exists for shallow lakes (lakes <4 m).
In cases where ANCOVA cannot be used, such as with small samples or where the assumptions underlying ANCOVA modeling do not hold, CHANGE or POST are acceptable alternatives, especially baseline variables are comparable between groups (perhaps ensured by stratification) and if correlation between baseline and post-treatment scores are either high (for CHANGE) or low (for POST).
The history of modeling DO has been extensive over time and researchers have used both mechanistic (Livingstone and Imboden 1996; White et al. 2008) along with deterministic models (Mathias and Barica 1980; Babin and Prepas 1985; Chambers et al. 2008; Akkoyunlu et al. 2011) to explain DO patterns in lakes.
People who try to do economics without any kind of mathematical modeling do indeed say things like that — and it's very hard to explain why it's self-contradictory nonsense without a bit of math.
Other environments, like system dynamics or agent-based modeling, do not operate in all of these aspects.
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Hierarchical modeling did not alter the results.
Models do it best.
'Shock, horror - models do drugs!
The old models do not apply.
So which model do you want?
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com