Hi All,
Apologies of cross posting! I would like to invite you, as well as any colleagues, postdoctoral fellows, or students who may be interested, to submit statistical methodology or applied research to our special topic collection, Innovative Statistical Methods for Complex Data in Ophthalmology and Vision Science, in the Journal of Statistical Theory and Applications.
This collection aims to highlight innovative statistical methods and applications that address the unique challenges of ophthalmology and vision science research. Please feel free to share this announcement with others who may be interested. More details about the collection are provided below.
We also have a limited number of publication fee waivers available for accepted manuscripts. If publication costs may be a barrier, please feel free to contact us to discuss eligibility.
As the submission deadline is approaching, if you are considering a submission but anticipate difficulty meeting the July 22 deadline, please feel free to let us know. We would appreciate a heads-up and would be happy to discuss your timeline.
Please do not hesitate to reach out to me or Dr. Berchuck if you have any questions. My apologies if you have already received this invitation, and thank you for your time and consideration.
Journal of Statistical Theory and Applications - Call for Papers
Topical Collection: Innovative Statistical Methods for Complex Data in Ophthalmology and Vision Science
Overview
We invite original research submissions to a fully Open Access Topical Collection advancing statistical methodology and applications in ophthalmology and vision science. The focus is on rigorous, reproducible methods that address the unique complexity of ophthalmic data.
Scope & Objectives
Submissions may address, but are not limited to:
- Data challenges: paired-eye dependence, longitudinal and repeated measures data, irregular visit schedules, missing data, multimodal and high-dimensional data (e.g., imaging, functional and structural measures, epidemiologic data).
- Methods: joint modeling, high-dimensional regression, Bayesian inference, machine learning and deep learning with statistical guarantees, validation methods, and uncertainty quantification.
- Impact: methods that improve inference, prediction, and decision-making in ophthalmic research, with insights generalizable to broader biomedical data science applications.
- Alignment: contributions supporting SDG 3 (Good Health and Well-Being).
Submission Guidelines
- Manuscripts must be original and not under review elsewhere.
- Please 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 are 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.
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Tingfang Lee
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