Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features-Reference-Cited by-同舟云学术

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Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features

Published:2024-06-24 Issue: Volume: Page:1-23
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Zhou Doudou¹²^ORCID,Liu Molei³,Li Mengyan⁴,Cai Tianxi¹⁵^ORCID

Affiliation:

1. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA

2. Department of Statistics and Data Science, National University of Singapore, Singapore

3. Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY

4. Department of Mathematical Sciences, Bentley University, Waltham, MA

5. Department of Biomedical Informatics, Harvard Medical School, Boston, MA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2024.2356291

Reference50 articles.

1. Doubly Robust Estimation in Missing Data and Causal Inference Models

2. Predicting with Proxies: Transfer Learning in High Dimension

3. High-dimensional inference in misspecified linear models

4. Cai T. Li M. and Liu M. (2022) “Semi-Supervised Triply Robust Inductive Transfer Learning ” arXiv preprint arXiv:2209.04977.

5. Generalized Partially Linear Single-Index Models

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