1 citations · 1 across the 2 of their papers we have counts for
Showing stat.MEShow all
2 papers · 1 filter
stat.ME2026
Is the treatment beneficial? Causal Inference with Ordinal Outcomes: A Bayesian Solution
Rituparna Dey, Pradipta Sarkar, Tirthankar Dasgupta
Randomized experiments with ordinal outcomes are common across scientific applications, but conventional causal estimands such as the average treatment effect are difficult to inte…
stat.ME2015
A conditional randomization test to account for covariate imbalance in randomized experiments
Jonathan Hennessy, Tirthankar Dasgupta, Luke Miratrix +2
We consider the conditional randomization test as a way to account for covariate imbalance in randomized experiments. The test accounts for covariate imbalance by comparing the obs…