Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data-Reference-Cited by-同舟云学术

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Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data

Published:2024-08-26 Issue: Volume: Page:1-11
ISSN:0003-1305
Container-title:The American Statistician
language:en
Short-container-title:The American Statistician

Author:

Liang Jia¹,Chen Shuo²,Kochunov Peter,Hong L. Elliot³,Chen Chixiang²⁴⁵

Affiliation:

1. Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN

2. Division of Biostatistics and Bioinformatics, University of Maryland, School of Medicine, Baltimore, MD

3. Maryland Psychiatric Research Center, University of Maryland, School of Medicine, Baltimore, MD

4. Department of Neurosurgery, University of Maryland, School of Medicine, Baltimore, MD

5. University of Maryland Institute for Health Computing, Bethesda, MD

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00031305.2024.2368799

Reference40 articles.

1. Changes in the body mass index and blood pressure association across time: Evidence from multiple cross-sectional and cohort studies

2. Brain charts for the human lifespan

3. Systolic Blood Pressure and Socioeconomic Status in a large multi-study population

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

5. Improving main analysis by borrowing information from auxiliary data

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