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'erroneous correlation' is correct and usable in written English
You can use it when you want to refer to a link or relationship between two or more things that is false or invalid. For example, "The researchers found an erroneous correlation between the levels of sodium in a person's diet and their risk of heart disease."
Exact(2)
Spatial comparisons of DEMs were found to be sensitive to even sub-pixel misregistration between the two models, which resulted in a strong erroneous correlation with aspect.
In Response: With regard to their comment on our letter, Dengue Virus Serotype 4, Roraima State, Brazil (1 ), Amézaga Acosta et al. correctly refer to an erroneous correlation between genotype I and American strains and between genotype II and Asian strains (2 ).
Similar(58)
Biological systems analyses based on correlation structures are predicted to contain multiple erroneous correlations when using extant classical inbred lines because of the preexisting genomic correlations.
Before unleashing the erroneous transgender/pedophile correlation, fear ensures that the humanity of transgender brother and sisters remains invisible.
Separating phenotypic correlations into these 2 components is essential to avoid erroneous conclusions about correlations, as among-individual correlations can mask within-individual correlations (David et al. 2014).
However, the column made a common, though erroneous, link between correlation and causation by referring to "those vowing to 'explain' the world empirically" and to "high-minded empiricism".
Nonetheless, this finding demonstrates that without accounting for spatial correlation erroneous conclusions regarding the effectiveness of policies could be drawn.
Error in measuring the smaller size breasts in Tanner stages 1&2 may have led to erroneous measures of correlations.
Finally, the norm depends on the number of voxels, and for a very large number of voxels, the normalization factor increases and consequently the PDC values decrease to low-levels and become more sensitive to erroneous or random correlations.
Because any research may be flawed due to erroneous observations, overseen correlations, incorrect assumptions, or just sloppy reasoning, any model or theory that is proposed must be justified and tested against data that are both tangible and publicly available.
In such a problem, we first consider a sequential probability ratio test (SPRT) developed under the erroneous assumption of the correlation coefficient ρ= 0, and investigate its properties when the true ρ≠0.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com