Biostatistics Module

生物统计学-项目摘要 VRC生物统计学核心模块（VRC Biostatistics Core Module）支持生物统计学方面的咨询和合作， 流行病学的科学家。生物统计学家就研究设计、样本量/把握度提供建议 测定、统计分析、数据解释和数据呈现。他们也是积极的参与者 在开发和编写赠款申请和手稿。除了其方法和 技术专长，眼科人员非常了解眼部状况（例如，年龄相关性黄斑 变性，青光眼，近视，早产儿视网膜病变，干眼病，葡萄膜炎） 视觉研究人员，关于视觉研究所特有的常用测量方法（例如，视觉敏锐度， 屈光不正，视野指数），关于从眼睛图像导出的参数（例如，视网膜厚度 OCT、Retcam图像中的视网膜血管宽度和曲折度），以及专业统计分析 视觉研究中使用的许多实验设计所需的技术（例如，相关数据技术， 适当地处理来自同一对象的两只眼睛的数据）。附加目的在于提供 生物信息学支持，以访问和分析来自医疗保健数据库的数据。

Biostatistics - Project Summary The VRC Biostatistics Core Module (BCM) supports consultation and collaboration in biostatistics and epidemiology to Penn vision scientists. Biostatisticians provide advice on study design, sample size/power determination, statistical analysis, data interpretation, and data presentation. They are also active participants in the development and writing of grant applications and manuscripts. In addition to their methodological and technical expertise, BCM personnel are very knowledgeable about ocular conditions (e.g., age-related macular degeneration, glaucoma, myopia, retinopathy of prematurity, dry eye disease, uveitis) under study by Penn vision researchers, about commonly used measures that are unique to vision research (e.g., visual acuity, refractive error, visual field indices), about parameters derived from ocular images (e.g., retinal thickness from OCT, retinal vessel width and tortuosity from Retcam images), and about specialized statistical analysis techniques required for many experimental designs used in vision research (e.g., correlated data techniques to handle appropriately data from two eyes of the same subject). An additional objective is to provide bioinformatics support to access and analyze data from healthcare databases.