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On Optimal Correlation-Based Prediction

Published:2022-04-22 Issue:4 Volume:76 Page:313-321
ISSN:0003-1305
Container-title:The American Statistician
language:en
Short-container-title:The American Statistician

Author:

Bottai Matteo¹,Kim Taeho²,Lieberman Benjamin³,Luta George⁴⁵⁶,Peña Edsel⁷

Affiliation:

1. Division of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden

2. Department of Statistics, University of Haifa, Haifa Israel

3. Freddie Mac, McLean, VA

4. Department of Biostatistics, Bioinformatics & Biomathematics, Georgetown University, Washington, DC

5. Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark

6. The Parker Institute, Copenhagen University Hospital, Frederiksberg, Denmark

7. Department of Statistics, University of South Carolina, Columbia, SC

Funder

Program Director in the Directorate of Mathematical and Physical Sciences (MPS), Division of Mathematical Sciences

US National Science Foundation

NSF

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00031305.2022.2051604

Reference18 articles.

1. A Generalized Concordance Correlation Coefficient Based on the Variance Components Generalized Linear Mixed Models for Overdispersed Count Data

2. Estimating the Generalized Concordance Correlation Coefficient through Variance Components

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Statistical Modeling of Implicit Functional Relations;Stats;2023-08-25

2. Canonical Concordance Correlation Analysis;Mathematics;2022-12-26

3. Comment on “On Optimal Correlation-Based Prediction”, By Bottai et al. (2022);The American Statistician;2022-11-15

4. Comment on “On Optimal Correlation-Based Prediction,” by Bottai et al. (2022);The American Statistician;2022-04-22

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