Tutorial on Biostatistics: Sample Size and Power Calculation for Ophthalmic Studies With Correlated Binary Eye Outcomes

• Published in: Investigative ophthalmology & visual science Vol. 65; no. 8; p. 7
• Main Authors: Ying, Gui-Shuang, Glynn, Robert J., Rosner, Bernard
• Format: Journal Article
• Language: English
• Published: United States The Association for Research in Vision and Ophthalmology 03.07.2024
• Subjects: Biostatistics - methods; Eye Diseases - diagnosis; Focus on Data; Humans; Ophthalmology; Research Design; Sample Size
• ISSN: 1552-5783; 0146-0404; 1552-5783
• DOI: 10.1167/iovs.65.8.7

To describe and demonstrate sample size and power calculation for ophthalmic studies with a binary outcome from one or both eyes. We describe sample size and power calculation for four commonly used eye designs: (1) one-eye design or person-design: one eye per subject or outcome is at person-level; (2) paired design: two eyes per subject and two eyes are in different treatment groups; (3) two-eye design: two eyes per subject and both eyes are in the same treatment group; and (4) mixture design: mixture of one eye and two eyes per subject. For each design, we demonstrate sample size and power calculations in real ophthalmic studies. Using formulas and commercial or free statistical packages including SAS, STATA, R, and PS, we calculated sample size and power. We demonstrated that different statistical packages require different parameters and provide similar, yet not identical, results. We emphasize that studies using data from two eyes of a subject need to account for the intereye correlation for appropriate sample size and power calculations. We demonstrate the gain in efficiency in designs that include two eyes of a subject compared to one-eye designs. Ophthalmic studies use different eye designs that include one or both eyes in the same or different treatment groups. Appropriate sample size and power calculations depend on the eye design and should account for intereye correlation when two eyes from some or all subjects are included in a study. Calculations can be executed using formulas and commercial or free statistical packages.