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

ABSTRACT:

Purpose

To describe and demonstrate appropriate linear regression methods for analyzing correlated continuous eye data.

Methods

We describe several approaches to regression analysis involving both eyes, including mixed effects and marginal models under various covariance structures to account for inter-eye correlation. We demonstrate, with SAS statistical software, applications in a study comparing baseline refractive error between one eye with choroidal neovascularization (CNV) and the unaffected fellow eye, and in a study determining factors associated with visual field in the elderly.

Results

When refractive error from both eyes were analyzed with standard linear regression without accounting for inter-eye correlation (adjusting for demographic and ocular covariate

SUBMITTER: Ying GS 

PROVIDER: S-EPMC5597052 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature