The phrase "erroneous association" is correct and usable in written English.
It can be used when discussing a mistaken or incorrect link between two concepts, ideas, or entities.
Example: "The study revealed an erroneous association between the medication and the side effects reported by patients."
Alternatives: "false connection" or "incorrect link".
We therefore developed a new strategy to reduce the number of erroneous association signals in our data (method MIXStrat).
The criticism is that guideline studies, and hence GLP by erroneous association, may not incorporate the most recent advancements in a particular field.
Thus, even if cases and controls are race-matched, erroneous association might be taken into consideration if different racial and/or ethnic groups are mixed.
Some choices could lead to bias or the "systematic erroneous association of some characteristic with a group in a way that distorts a comparison with another group" (Ransohoff 2005).
However, all analyses were restricted to subjects of the same ethnic origin (white, Western European) and so population stratification is unlikely to be explanation for erroneous associations.
Similarly, the previously reported SMARD alleles were found, consistent with their identity as erroneous associations with disease in database entries.
Although the chance of erroneous associations is probably reduced, the problem remains that the patients being matched may differ in unmeasured ways.
The effectiveness of this approach critically depends on the disease under investigation being clearly defined both molecularly and physiologically, in order to avoid erroneous associations.
By requiring associations identified through whole-transcript reconstruction to be supported by the focused tests of exons and junctions, we eliminated some of the erroneous associations caused by transcript assembly.
This could have generated erroneous associations due to the correlated measurement error or because the outcome affects the perception (e.g. self-reported ED visits and perceived discrimination in healthcare settings).
Comparing referral rates for different groups of GPs without controlling for other factors may lead to erroneous associations between participation in joint consultations and reductions in rates of referral.
