A selective review of statistical methods using calibration information from similar studies-Reference-Cited by-同舟云学术

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A selective review of statistical methods using calibration information from similar studies

Published:2022-07-27 Issue: Volume: Page:1-16
ISSN:2475-4269
Container-title:Statistical Theory and Related Fields
language:en
Short-container-title:Statistical Theory and Related Fields

Author:

Qin Jing¹,Liu Yukun²,Li Pengfei³

Affiliation:

1. National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA

2. KLATASDS – MOE, School of Statistics, East China Normal University, Shanghai, People's Republic of China

3. Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada

Funder

National Natural Science Foundation of China

111 Project

Development Fund for Shanghai Talents

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/24754269.2022.2096426

Reference40 articles.

1. Babcock, B., Babu, S., Datar, M., Motwani, R. & Widom, J. (2002, June 3–5). Models and issues in data stream systems. In Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on principles of database systems, Madison, Wisconsin, USA (pp. 1–16). ACM.

2. GMM, maximum likelihood, and nonparametric efficiency

3. Introduction to Meta-Analysis

4. Braverman, M., Garg, A., Ma, T., Nguyen, H. & Woodruff, D. (2016). Communication lower bounds for statistical estimation problems via a distributed data processing inequality. In Proceedings of the forty-eighth annual ACM symposium on theory of computing (pp. 1011–1020). ACM.

5. Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-Level Information From External Big Data Sources

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1. Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data;The American Statistician;2024-08-26

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