2 papers
stat.ME2025
Bayesian Causal Discovery with Cycles and Latent Confounders
Wei Jin, Lang Lang, Amanda B. Spence +2
Learning causality from observational data has received increasing interest across various scientific fields. However, most existing methods assume the absence of latent confounder…
stat.ME2025
RESOLVE-IPD: High-Fidelity Individual Patient Data Reconstruction and Uncertainty-Aware Subgroup Meta-Analysis
Lang Lang, Yao Zhao, Qiuxin Gao +1
Individual patient data (IPD) from oncology trials are essential for reliable evidence synthesis but are rarely publicly available, necessitating reconstruction from published Kapl…