Evaluation of Statistical Methods for Clustered Eye Data with Skewed Distribution.

ABSTRACT:

Purpose

To evaluate the performance of various analysis approaches for skewed correlated eye data from 2 eyes of a subject in the same comparison group, which is common in ophthalmology and vision research.

Design

Simulation study and real data analysis.

Subjects

Simulated subjects and participants of the Dry Eye Assessment and Management (DREAM) study.

Methods

We simulated skewed correlated data using (skewness, kurtosis) = (27, 50) and (0.06, 5.9), intereye correlation (ρ = 0, 0.25, 0.50, and 0.75), sample sizes (n = 20, 50, 100, and 200), and mean differences between 2 groups (0 for type 1 error rate, 0.2 for statistical power). Each simulated data set was analyzed without and with applying rank-based normalization: (1) 2-sample t test o

SUBMITTER: Zhang S 

PROVIDER: S-EPMC12803916 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature