Comparing Generalized Estimating Equation and Linear Mixed Effects Model for Estimating Marginal Association with Bivariate Continuous Outcomes-Reference-Cited by-同舟云学术

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Comparing Generalized Estimating Equation and Linear Mixed Effects Model for Estimating Marginal Association with Bivariate Continuous Outcomes

Published:2022-07-15 Issue:3 Volume:30 Page:307-316
ISSN:0928-6586
Container-title:Ophthalmic Epidemiology
language:en
Short-container-title:Ophthalmic Epidemiology

Author:

Li Mingyi¹,Kong Xiangrong¹²³⁴

Affiliation:

1. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA

2. Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltiomre, Maryland, USA

3. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

4. Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health

Funder

supported by the National Eye Institute grants

unrestricted fund awarded to the Wilmer Eye Institute by Research to Prevent Blindness

Publisher

Informa UK Limited

Subject

Ophthalmology,Epidemiology

Link

https://www.tandfonline.com/doi/pdf/10.1080/09286586.2022.2098984

Reference25 articles.

1. Tutorial on Biostatistics: Statistical Analysis for Correlated Binary Eye Data

2. Regression Methods when the Eye is the Unit of Analysis

3. Accounting for the Correlation Between Fellow Eyes in Regression Analysis

4. Tutorial on Biostatistics: Linear Regression Analysis of Continuous Correlated Eye Data

5. Models for Longitudinal Data: A Generalized Estimating Equation Approach

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