Shinjini Nandi
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View article: Leveraging the group structure of hypotheses for more powerful multiple testing with FDR control for the filtered rejection set
Leveraging the group structure of hypotheses for more powerful multiple testing with FDR control for the filtered rejection set Open
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, researchers often wish to control the false discovery rate (FDR) af…
View article: Conventional screening measure does not accurately capture screening status in a minority of patients with colorectal cancer
Conventional screening measure does not accurately capture screening status in a minority of patients with colorectal cancer Open
Colorectal cancer (CRC) screening uptake in the Veterans Health Administration (VA) has been reported to be higher than the US general population, but CRC remains a prevalent cancer within the VA system. To examine CRC predictors and the e…
View article: A Joint Fairness Model with Applications to Risk Predictions for Underrepresented Populations
A Joint Fairness Model with Applications to Risk Predictions for Underrepresented Populations Open
In data collection for predictive modeling, underrepresentation of certain groups, based on gender, race/ethnicity, or age, may yield less accurate predictions for these groups. Recently, this issue of fairness in predictions has attracted…
View article: Controlling the False Discovery Rate in Complex Multi-Way Classified Hypotheses
Controlling the False Discovery Rate in Complex Multi-Way Classified Hypotheses Open
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 encode structural information from simultaneous multi-way classi…
View article: Controlling the False Discovery Rate in Complex Multi-Way Classified\n Hypotheses
Controlling the False Discovery Rate in Complex Multi-Way Classified\n Hypotheses Open
In this article, we propose a generalized weighted version of the well-known\nBenjamini-Hochberg (BH) procedure. The rigorous weighting scheme used by our\nmethod enables it to encode structural information from simultaneous multi-way\ncla…
View article: Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations
Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations Open
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. Recently, this issue of fairness in predictions has attracte…
View article: A Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations.
A Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations. Open
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. Recently, this issue of fairness in predictions has attracte…
View article: Multiple Testing Procedures for One- and Two-Way Classified Hypotheses
Multiple Testing Procedures for One- and Two-Way Classified Hypotheses Open
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 hypotheses'. However, one often encounters the scenario of …
View article: Adapting BH to One- and Two-Way Classified Structures of Hypotheses
Adapting BH to One- and Two-Way Classified Structures of Hypotheses Open
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 hypotheses. Although simultaneous classification of hypothes…
View article: LPiTrack: Eye movement pattern recognition algorithm and application to biometric identification
LPiTrack: Eye movement pattern recognition algorithm and application to biometric identification Open