"biases for" is correct and usable in written English.
It is generally used to talk about a propensity to favor something or someone. For example, "The hiring manager had serious biases for certain candidates."
Identifying decision biases, for example, becomes easier and clearer.
Race and gender biases, for example, profoundly influence psychiatric diagnoses.
But ocean subsurface temperature data are very sparse in time and space, and they contain systematic biases for some instruments.
Professor McDonald says using Internet data, however, "trades one set of biases for another.
Generally, QM method substantially improves the biases for both precipitation and temperature.
Attention biases for angry and happy faces did not change significantly from pre-to post-condition.
Interestingly, the hearing aids seem to substantially increase more biases for the unvoiced category.
Attentional and approach biases for smoking cues in smokers: an investigation of competing theoretical views of addiction.
For now, we can turn to past research on a broader range of biases for possible solutions.
Freeman, J., Heeger, D. J. & Merriam, E. P. Coarse-Scale Biases for Spirals and Orientation in Human Visual Cortex.
These authors suggested that preoccupation with an issue, such as alcohol consumption, leads to biases for related information.
