2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.AP2026
How to measure intra-physician variability in clinical decision-making?
Alaedine Benani, Pierre Meneton, Emmanuel Messas +6
Intra-physician prescribing variability, the probability that one physician issues discordant decisions for two patients deemed comparable on observed covariates, holds great impac…
q-bio.QM2023★ 2 cited
Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients
Marcel da Câmara Ribeiro-Dantas, Honghao Li, Vincent Cabeli +5
Discovering causal effects is at the core of scientific investigation but remains challenging when only observational data is available. In practice, causal networks are difficult…