10 citations · 15 across the 4 of their papers we have counts for
4 papers
Leveraging the group structure of hypotheses for more powerful multiple testing with FDR control for the filtered rejection set
Marina Bogomolov, Shinjini Nandi
Modern biological studies often involve testing many hypotheses organized in a group or a hierarchical structure, such as a directed acyclic graph (DAG). In these studies, research…
Controlling the False Discovery Rate in Complex Multi-Way Classified Hypotheses
Shinjini Nandi, Sanat K. Sarkar
In this article, we propose a generalized weighted version of the well-known Benjamini-Hochberg (BH) procedure. The rigorous weighting scheme used by our method enables it to encod…
Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations
Hyungrok Do, Shinjini Nandi, Preston Putzel +2
In data collection for predictive modeling, under-representation of certain groups, based on gender, race/ethnicity, or age, may yield less-accurate predictions for these groups. R…
Adapting BH to One- and Two-Way Classified Structures of Hypotheses
Shinjini Nandi, Sanat K. Sarkar
Multiple testing literature contains ample research on controlling false discoveries for hypotheses classified according to one criterion, which we refer to as one-way classified h…