Sentence examples for biases that could affect from inspiring English sources

The referral process might introduce important selection biases that could affect our understanding of the prognosis of people identified in primary care.

Our patients were not randomised and so there is always the possibility of unforeseen and unmeasured biases that could affect the results.

In order to address the effect of Alu insertions on local recombination rates as directly and clearly as possible, we sought to eliminate or account for factors and biases that could affect recombination rate estimates.

Because of the variety of possibly confounding biases that could affect mitochondrial genomes concurrently, strong outgroup effects should be expected and have been observed (Cameron et al. 2004, Rota-Stabelli and Telford 2008), with different outgroups suggesting alternative equally well-supported rooting positions for ingroup taxa.

As molecular sequence data sets grow ever larger in size and complexity, it is critical that they be scrutinized thoroughly for potential biases that could affect phylogenetic inference; in particular, sequences with relatively slow apparent divergence rates should be examined carefully for evidence of short-branch exclusion.

Self-reported assessments of sexual behaviour are prone to a number of biases that could affect the reliability and validity of a measure ranging from participants literacy level and comprehension of behavioural terminology, to recall biases and self-presentation or confidentiality concerns resulting from stigmatization of the behaviour in question.

However by using strict inclusion/exclusion criteria and applying multivariate logistic regression analysis we tried to minimize the selection bias that could affect the study.

Another bias that could affect the results is that in the control group, women with a history of complications during pregnancy could have been more likely to respond to the questionnaire than women with no history of pregnancy complications.

Secondary gain is a possible source of bias that could affect the results of this study; as with other professional athletes, individuals in our population might potentially hide symptoms in order to avoid being placed on inactive status.

Here, the phenomenon can be observed at an unprecedented resolution (see inset of Figure 1E) and consists in a bias that could affect any experimental procedure involving a circularization through ligation step.

We therefore have no reason to believe that the results are biased to an extent that could affect the conclusions.