Showing stat.APShow all
2 papers · 1 filter
stat.AP2026
Correcting heterogeneous diagnostic bias when developing clinical prediction models using causal hidden Markov models
Jose Benitez-Aurioles, Ricardo Silva, Brian McMillan +1
In routine care, individuals identified a priori as high-risk are usually tested for conditions more frequently. Protected attributes, such as sex or ethnicity may also determine t…
stat.AP2024
The continuous net benefit: Assessing the clinical utility of prediction models when informing a continuum of decisions
Jose Benitez-Aurioles, Laure Wynants, Niels Peek +3
Clinical prognostic models help inform decision-making by estimating a patient's risk of experiencing an outcome in the future. The net benefit is increasingly being used to assess…