Tirthankar Dasgupta | DeepAI

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Featured Co-authors

Zach Branson
13 publications
Nicole E. Pashley
9 publications
Donald B. Rubin
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∙ 06/21/2023

Optimal allocation of sample size for randomization-based inference from 2^K factorial designs

Optimizing the allocation of units into treatment groups can help resear...

0 Arun Ravichandran, et al. ∙

∙ 02/07/2022

Causal inference from treatment-control studies having an additional factor with unknown assignment mechanism

Consider a situation with two treatments, the first of which is randomiz...

0 Nicole E. Pashley, et al. ∙

∙ 06/09/2020

CLAIMED: A CLAssification-Incorporated Minimum Energy Design to explore a multivariate response surface with feasibility constraints

Motivated by the problem of optimization of force-field systems in physi...

0 Yao Song, et al. ∙

∙ 04/17/2020

Leveraging the Fisher randomization test using confidence distributions: inference, combination and fusion learning

The flexibility and wide applicability of the Fisher randomization test ...

0 Xiaokang Luo, et al. ∙

∙ 08/21/2019

An Email Experiment to Identify the Effect of Racial Discrimination on Access to Lawyers: A Statistical Approach

We consider the problem of conducting an experiment to study the prevale...

0 Brian Libgober, et al. ∙

∙ 06/20/2019

Causal Inference from Possibly Unbalanced Split-Plot Designs: A Randomization-based Perspective

Split-plot designs find wide applicability in multifactor experiments wi...

0 Rahul Mukerjee, et al. ∙

∙ 08/05/2018

Sampling-based randomized designs for causal inference under the potential outcomes framework

We establish the inferential properties of the mean-difference estimator...

0 Zach Branson, et al. ∙

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