42 citations · 66 across the 10 of their papers we have counts for
12 papers
Bridging linearity-based and kernel-based sufficient dimension reduction
Youngjoo Cho, Debashis Ghosh
There has been a lot of interest in sufficient dimension reduction (SDR) methodologies as well as nonlinear extensions in the statistics literature. In this note, we use classical…
Transporting Experimental Results with Entropy Balancing
Kevin P. Josey, Seth A. Berkowitz, Debashis Ghosh +1
We show how entropy balancing can be used for transporting experimental treatment effects from a trial population onto a target population. This method is doubly-robust in the sens…
Analysis of regression discontinuity designs using censored data
Youngjoo Cho, Chen Hu, Debashis Ghosh
In medical settings, treatment assignment may be determined by a clinically important covariate that predicts patients' risk of event. There is a class of methods from the social s…
A Simulation Based Dynamic Evaluation Framework for System-wide Algorithmic Fairness
Efrén Cruz Cortés, Debashis Ghosh
We propose the use of Agent Based Models (ABMs) inside a reinforcement learning framework in order to better understand the relationship between automated decision making tools, fa…
Accuracy of the Epic Sepsis Prediction Model in a Regional Health System
Tellen Bennett, Seth Russell, James King +6
Interest in an electronic health record-based computational model that can accurately predict a patient's risk of sepsis at a given point in time has grown rapidly in the last seve…
Predictive Directions for Individualized Treatment Selection in Clinical Trials
Debashis Ghosh, Youngjoo Cho
In many clinical trials, individuals in different subgroups have experience differential treatment effects. This leads to individualized differences in treatment benefit. In this a…
A Gaussian process framework for overlap and causal effect estimation with high-dimensional covariates
Debashis Ghosh, Efrén Cruz-Cortés
A powerful tool for the analysis of nonrandomized observational studies has been the potential outcomes model. Utilization of this framework allows analysts to estimate average tre…
Relaxed covariate overlap and margin-based causal effect estimation
Debashis Ghosh
In most nonrandomized observational studies, differences between treatment groups may arise not only due to the treatment but also because of the effect of confounders. Therefore,…
Optimal Kernel Combination for Test of Independence against Local Alternatives
Wen-Yu Hua, Philip Reiss, Debashis Ghosh
Testing the independence between two random variables and is an important problem in statistics and machine learning, where the kernel-based tests of independence is focuse…
Equivalence of Kernel Machine Regression and Kernel Distance Covariance for Multidimensional Trait Association Studies
Wen-Yu Hua, Debashis Ghosh
Associating genetic markers with a multidimensional phenotype is an important yet challenging problem. In this work, we establish the equivalence between two popular methods: kerne…
Multiple Comparison Procedures for Neuroimaging Genomewide Association Studies
Wen-Yu Hua, Thomas E. Nichols, Debashis Ghosh +1
Recent research in neuroimaging has focused on assessing associations between genetic variants that are measured on a genomewide scale and brain imaging phenotypes. A large number…
Testing the disjunction hypothesis using Voronoi diagrams with applications to genetics
Daisy Phillips, Debashis Ghosh
Testing of the disjunction hypothesis is appropriate when each gene or location studied is associated with multiple -values, each of which is of individual interest. This can oc…