"can create bias" is a perfectly valid and usable phrase in written English.
It implies that an action or a decision has the potential to cause unfairness, discrimation or prejudice. For example: "The selection process for new employees can create bias if it is not structured properly to identify the best candidate for the role."
Differences between those completing the study and attritions, i.e. the loss of participants over the course of the study and which can create bias by changing the composition of the sample initially drawn [47], was analysed.
These limitations can create bias in diversity, abundance and size estimates [10] [12] and can be especially problematic for large mobile species such as sharks [13].
Poor standardization can create bias and excess random variation.
Next to this, self-report can create bias due to social desirability.
The standard analysis includes all study participants, which can create bias in the estimates of diagnostic accuracy since not all participants receive disease status verification.
Lack of randomisation, allocation concealment and comparable treatments can create bias as non-randomised controlled trials can be subject to confounding factors such as time-related or seasonal bias.
This feeling of belonging becomes so powerful that it can create biases, as well as prejudices.
Second, differential amplification of individual samples can create biases in allele frequency estimates [ 101, 103].
However, the presence of incomplete observations is a major issue that can create biased estimates or spurious associations.
The GPs tended to share opinions with laypeople regarding substance abuse rather than acknowledging that their personal attitudes can create biases for or against particular patients.
This further illustrates how selective sequencing of certain taxons can create biases in bioinformatic analysis and highlights the importance of exploring the NLL genome and the development of its genomic resources.
