Balancing Unobserved Covariates With Covariate-Adaptive Randomized Experiments-Reference-Cited by-同舟云学术

Balancing Unobserved Covariates With Covariate-Adaptive Randomized Experiments

Published:2020-11-12 Issue: Volume: Page:1-12
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Liu Yang¹,Hu Feifang¹

Affiliation:

1. Department of Statistics, George Washington University, Washington, DC

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2020.1825450

Reference33 articles.

1. Deep Learning with Differential Privacy

2. Randomization, balance, and the validity and efficiency of design-adaptive allocation methods

3. The covariate-adaptive biased coin design for balancing clinical trials in the presence of prognostic factors

4. Balle, B., and Wang, Y.X. (2018), “Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising,” arXiv no. 1805.06530.

5. In Pursuit of Balance: Randomization in Practice in Development Field Experiments

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