A model-agnostic conformal selection method reformulates CATE-based beneficiary identification as multiple testing with RCT-calibrated p-values and FDR control, allowing external data for model training.
Journal of Statistical Software , author=
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
stat.ME 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Mets R package implements simultaneous non-parametric RMST/RMTL estimation and IPCW regression for competing risks, with influence functions, G-computation, and ATE estimation that scales linearly with sample size.
citing papers explorer
-
A Conformal Selection Framework for Individual Treatment Beneficiaries with Auxiliary External Data
A model-agnostic conformal selection method reformulates CATE-based beneficiary identification as multiple testing with RCT-calibrated p-values and FDR control, allowing external data for model training.
-
Restricted mean time lost for survival and competing risks data using mets in R
Mets R package implements simultaneous non-parametric RMST/RMTL estimation and IPCW regression for competing risks, with influence functions, G-computation, and ATE estimation that scales linearly with sample size.