Yuchen Hu, Henry Zhu, Emma Brunskill, Stefan Wager
arXiv 3 Mar 2024 · Statistics — Methodology · 2 citations (OpenAlex)
arXiv:2403.01386 · PDF · DOI · OpenAlex · Extracted main text
Randomized controlled trials are often run in settings with many subpopulations that may have differential benefits from the treatment being evaluated. We consider the problem of sample selection, i.e., whom to enroll in a randomized trial, such as to optimize welfare in a heterogeneous population. We formalize this problem within the minimax-regret framework, and derive optimal sample-selection schemes under a variety of conditions. Using data from a COVID-19 vaccine trial, we also highlight how different objectives and decision rules can lead to meaningfully different guidance regarding optimal sample allocation.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Gaganpreet Sharma (2017) Pros and cons of different sampling techniques | 0.843 | 3 | 3 | 100% |
| 2 | Lindsey R. Baden, Hana M. El Sahly, Brandon Essink, Karen Kotloff, S… (2021) Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine | 0.693 | 9 | 1 | 100% |
| 3 | Hervé Moulin (2004) Fair division and collective welfare | 0.644 | 2 | 2 | 100% |
| 4 | Ajay S. Singh and Micah B. Masuku (2013) Fundamentals of Applied Research and Sampling Techniques | 0.644 | 2 | 2 | 100% |
| 5 | Charles F. Manski and Aleksey Tetenov (2016) Sufficient trial size to inform clinical practice | 0.585 | 3 | 1 | 100% |
| 6 | Charles F. Manski and Aleksey Tetenov (2019) Trial Size for Near-Optimal Choice Between Surveillance and Aggressive Treatment: Reconsidering MSLT-II | 0.585 | 3 | 1 | 100% |
| 7 | Andrew Gelman, John B Carlin, Hal S Stern, David B Dunson, Aki Vehta… (2013) Bayesian Data Analysis (3rd ed.) | 0.511 | 2 | 2 | 50% |
| 8 | Aleksey Tetenov (2012) Statistical treatment choice based on asymmetric minimax regret criteria | 0.511 | 2 | 2 | 50% |
| 9 | Eduardo M. Azevedo, Alex Deng, José Luis Montiel Olea, Justin Rao, a… (2020) A/B Testing with Fat Tails | 0.511 | 2 | 1 | 100% |
| 10 | Eduardo M. Azevedo, David Mao, José Luis Montiel Olea, and Amilcar V… (2023) The A/B testing problem with Gaussian priors | 0.511 | 2 | 1 | 100% |
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