2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2023★ 2 cited
Ultra-high dimensional confounder selection algorithms comparison with application to radiomics data
Ismaïla Baldé, Debashis Ghosh
Radiomics is an emerging area of medical imaging data analysis particularly for cancer. It involves the conversion of digital medical images into mineable ultra-high dimensional da…
math.ST2023
The oracle property of the generalized outcome adaptive lasso
Ismaila Baldé
The generalized outcome-adaptive lasso (GOAL) is a variable selection for high-dimensional causal inference proposed by Baldé et al. [2023, {\em Biometrics} {\bfseries 79(1)}, 514-…