42 citations · 66 across the 10 of their papers we have counts for
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stat.ME2018
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…
math.ST2018
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…
stat.ME2018
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,…