Sentence examples for many possible confounding from inspiring English sources

There are many possible confounding factors which may explain the plateauing effect of helmet use among motorcyclists in universal law states.

This permutation controls for many possible confounding effects.

Lastly, there are many possible confounding variables that affected the outcomes of this study.

Although we collected comprehensive data and assessed many possible confounding factors, residual confounding could not be entirely ruled out.

The linkage by the unique personal identification number to the Danish Cancer Registry and the Danish Pathology Databank ensures valid and complete ascertainment of incident cases, and the detailed baseline information enabled us to control for many possible confounding variables.

Second, since these ASEs are in the same genomic region, they are controlled for many possible confounding factors affecting synonymous codon usage such as local GC content [ 24- 26] and recombination rate [ 27- 31].

Hence, although we will include many possible confounds and expect to have power to detect a robust effect of genotype, a negative finding does not exclude the possibility that a genetic effect exists that is very sensitive to timing or to the method of measuring depression or stress.

However, we controlled for many possible confounders of the relationship between diet and type 2 diabetes and used continuous diet scores and covariates to assess residual confounding.

The weakness of this study is that it has been performed on a small sample size and as a result only gender could be considered out of many other possible confounding factors such as age, hypertension, BMI and dyslipidemia.

Attribution of these results directly to the roll-out of RDTs is not possible because many potential confounding factors exist that cannot be controlled in a descriptive analysis with a comparison to historical data.

In order to retain in the final model as many potential confounding factors as possible, it was decided, prior to data analysis, to use relaxed significance levels (i.e. P<0.15).