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According to Hill, the cause-effect interpretation of the data should not seriously interfere with current knowledge of the disease.
Consequently, the controversy about the cause-effect interpretation has been inevitable, because genome-wide analysis of duplicate genes has been viewed as an exploration rather than a hypothesis-testing approach.
Another limitation is that the cross-sectional nature of this study does not allow strict cause-effect interpretations of the associations between disability, comorbidity, and frailty.
This will, we believe, provide an opportunity for nuanced data interpretation – for example if improvement is similar across high and low decision support hospitals, this will moderate cause and effect interpretations in the former group.
While we included age at onset as the prior historical exposure, retrospective construction of a "cohort" of this kind based on respondent recall data has inherent limitations to cause and effect interpretations (i.e., the pseudo cohort directly acts as a proxy based on the nature of this sample being cross-sectional).
7. Coherence: the cause-and-effect interpretation of data should not seriously conflict with the generally known facts of the natural history and biology of the disease.
Increased antidepressant use is occurring concurrently with increasing diabetes prevalence; thus, any cause-and-effect interpretation does not conflict with generally known facts of the natural history and biology of the disease.
First, the cross-sectional design does not lend itself to causal interpretation; no cause effect relationships can be inferred.
My study, like others, uses a correlational design and therefore, it is impossible to make cause-and-effect interpretations (for example, do students who spend more time on Facebook also spend more time in campus activities, or do students who spend more time in campus activities spend more time on Facebook?).
As case control studies generally do not allow interpretation of a cause-effect relationship, further research should include prospective evaluation of PPI users and NSAIDs users monitoring the development of IBS-symptoms in relation to drug exposure to ascertain whether this increased exposure to PPIs and NSAIDs should be considered as legitimate etiological factors in IBS.
Cross-sectional surveys do not allow for determination of the sequence of cause and effect which complicates interpretation of associations.
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