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Finally, in contrast with our work, the computational methods used in prior studies to identify SNPs do not have a theoretical basis for causal interpretation.
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Previous literature, however, lack proper identification necessary to vouch for causal interpretation.
Furthermore, data structure does not allow for causal interpretation.
Structural equation and path analyses are very useful for causal interpretation.
Second, the cross-sectional design of the study does not allow for causal interpretation of the relationships found.
However, it does not allow for causal interpretation of the associations between orthopaedic outcomes and psychological variables.
In the following proposal for causal interpretation of each type of arc, we will make the simplifying assumption that each arc is independent from the other ones.
Also, the cross-sectional nature of this study does not allow for causal interpretations.
As we referred to cross-sectional data, the results of the mediational analyses do not allow for causal interpretations.
Because of these circumstances and the additional problem of reliably assessing the presence of A retrospectively, case control studies are often denied the potential to form the basis of a causal interpretation.
Question: What is the basis for causal connection?
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