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Given our prospective study design, assumptions may be made about causality.
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Another limitation of our study was its cross-sectional design, which prevents inferences being made about causality from the observed associations.
To step beyond these limitations, it would be beneficial to utilize methods that can determine the paths of neural information flow and thus allow inferences to be made about the causality of brain processes.
Since different decisions can be made about whether sufficient evidence for causality exists [ 44, 45], such uncertainty is characterized as scenario uncertainty.
Forward modeling starts from known, or suspected, causalities, expressed in the form of a model, from which predictions are made about what to expect.
No inferences can be made regarding causality.
No inferences can be made on causality because of the cross-sectional design of the study.
First, because the study had a cross sectional design, no inferences can be made regarding causality.
Only associational claims can be made, as reverse causality can not be ruled out.
In application of these equations, careful attention needs to be made to time frames, causality, and assumptions about the stability of dietary intake, which may not apply to individuals experiencing major weight change.
Finally, since this is an observational study, no conclusions about causality can be made.
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CEO of Professional Science Editing for Scientists @ prosciediting.com