Observability and its impact on differential bias for clinical prediction models.
Electronic health records have incomplete capture of patient outcomes. We consider the case when observability is differential across a predictor. Including such a predictor (sensitive variable) can lead to algorithmic bias, potentially exacerbating health inequities.
Author(s): Yan, Mengying, Pencina, Michael J, Boulware, L Ebony, Goldstein, Benjamin A
DOI: 10.1093/jamia/ocac019