Biostatistics Module

生物统计模块

基本信息

批准号：
10249544
负责人：
Gui-shuang Ying
金额：
$ 16.54万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
1997
资助国家：
美国
起止时间：
1997-09-01 至 2025-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10249544
关键词：
Accounting Age related macular degeneration Applications Grants Basic Science Bioinformatics Biometry Biostatistics Core Collaborations Computer software Consultations Core Grant Custom Data Data Analyses Database Management Systems Databases Development Disadvantaged Dry Eye Syndromes Epidemiology Experimental Designs Eye Glaucoma Graph Healthcare Healthcare Systems Human Resources Image Manuscripts Measurement Measures Methodology Methods Myopia Participant Refractive Errors Research Design Research Personnel Resources Retina Retinopathy of Prematurity Sample Size Scientist Statistical Data Interpretation Technical Expertise Techniques Thick Translational Research Uveitis Vision Vision research Visual Acuity Visual Fields Width Writing computer program data management experimental study indexing member ocular imaging patient oriented research ranpirnase retina blood vessel structure

项目摘要

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.

生物统计学 - 项目摘要 VRC 生物统计核心模块 (BCM) 支持生物统计和生物统计领域的咨询与合作宾夕法尼亚大学视觉科学家的流行病学。生物统计学家提供有关研究设计、样本量/功效的建议确定、统计分析、数据解释和数据呈现。他们也是积极的参与者资助申请和手稿的制定和撰写。除了他们的方法论和技术专业知识，BCM 人员非常了解眼部疾病（例如，与年龄相关的黄斑宾夕法尼亚大学正在研究退化、青光眼、近视、早产儿视网膜病、干眼症、葡萄膜炎）视觉研究人员，了解视觉研究特有的常用测量方法（例如视敏度、屈光不正、视野指数），关于从眼部图像导出的参数（例如，来自眼部图像的视网膜厚度） OCT、Retcam 图像中的视网膜血管宽度和弯曲度）以及专门的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，相关数据技术适当处理来自同一受试者两只眼睛的数据）。另一个目标是提供生物信息学支持访问和分析医疗保健数据库中的数据。