ASA Connect

Overview

We invite original research for a fully Open Access Topical Collection advancing statistical methodology and applications in ophthalmology and vision science. The focus is on rigorous, reproducible methods addressing the unique complexity of ophthalmic data.

Scope & Objectives

Submissions may address (including, but not limited to):

·      Data challenges: paired-eye dependence, longitudinal/repeated measures, irregular visit schedules, missingness, multimodal/high-dimensional data (imaging, functional/structural measures, epidemiologic data).

·      Methods: joint modeling, high-dimensional regression, Bayesian inference, machine learning and deep learning with statistical guarantees, validation and uncertainty quantification.

·      Impact: methods that improve inference, prediction, and decision-making in ophthalmic research, with insights generalizable to biomedical data science.

·      Alignment: contributions that support SDG 3: Good Health & Well-Being.

Submission Guidelines

·      Manuscripts must be original and not under review elsewhere.

·      Follow the journal's Submission Guidelines.

·      During submission, select the option to submit to a Collection and choose "Innovative Statistical Methods for Complex Data in Ophthalmology and Vision Science."

·      Please mention the Collection in your cover letter.

Important Dates

·      Submission Deadline: July 22, 2026 (submissions accepted on a rolling basis before the deadline).

·      Articles are published Open Access immediately upon acceptance.

Guest Editors: Ting-Fang Lee (Ting-Fang.Lee@nyulangone.org), Samuel Berchuck (sib2@duke.edu)

For inquiries, please contact a Guest Editor.