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Secondly, our study was cross sectional, which does not necessarily allow evaluation of the direction of association.
Both models are plausible and although our subjects are from a longitudinal study, the brain samples are cross sectional which limits our ability to assess pathways and causality.
Our study design was cross sectional, which is strong to establish associations but weak in generating causal relationship between variables [ 47].
However, the data are cross sectional which did not allow us to make firm conclusions about causality of the observed associations.
The design of this study is cross sectional, which limits the ability to infer causal relationship between nurses' shift length and nurse outcomes causality.
Similar(55)
Firstly, the study was cross-sectional, which limits interpretations to associations rather than causality.
In this research, sample data is cross-sectional, which may not adequately reflect the causal relationship among variables.
Third, this study is cross-sectional which makes it unsuitable to draw conclusions about causal inferences.
Second, the present study is cross-sectional, which does not allow us to determine the cause-effect relationship between A-FABP and the development of CAD.
This study is cross-sectional, which limits causal inference.
The research is cross-sectional, which precludes causal inferences.
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