Adaptive experiments and a rigorous framework for type I error verification and computational experiment design
Abstract/Contents
- Abstract
- What wouldn't we give for faster access to life-saving drugs, cancer cures, or pandemic-ending vaccines? In recent decades, modern statistics has found something to trade: at the price of additional complexity and the loss of Gaussian behavior of our estimators, we can get faster, more robust, more flexible, and more efficient experiments through the use of adaptive designs. This thesis covers breakthroughs in several areas of adaptive experiment design: (i) (Chapter 2) Novel clinical trial designs and statistical methods in the era of precision medicine. (ii) (Chapter 3) Multi-armed bandit theory, with applications to learning healthcare systems and clinical trials. (iii) (Chapter 4) Bandit and covariate processes, with finite and non-denumerable set of arms. (iv) (Chapter 5) A rigorous framework for simulation-based verification of adaptive design properties.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2021; ©2021 |
| Publication date | 2021; 2021 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Sklar, Michael Benjamin |
|---|---|
| Degree supervisor | Lai, T. L |
| Thesis advisor | Lai, T. L |
| Thesis advisor | Lavori, Philip W, 1949- |
| Thesis advisor | Lu, Ying, 1960- |
| Degree committee member | Lavori, Philip W, 1949- |
| Degree committee member | Lu, Ying, 1960- |
| Associated with | Stanford University, Department of Statistics |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Michael Sklar. |
|---|---|
| Note | Submitted to the Department of Statistics. |
| Thesis | Thesis Ph.D. Stanford University 2021. |
| Location | https://purl.stanford.edu/hq441vp2267 |
Access conditions
- Copyright
- © 2021 by Michael Benjamin Sklar
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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