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生物统计学核心模块（BCM）支持生物统计学和协作宾夕法尼亚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/力量的建议确定，统计分析，数据解释和数据表示。他们也是活跃的参与者在赠款应用程序和手稿的开发和写作中。除了它们的方法论和技术专长，BCM人员对眼部条件非常了解（例如，与年龄相关的黄斑宾夕法尼亚州正在研究的退化，青光眼，近视，早产性，干眼病，葡萄膜炎）视力研究人员，关于视觉研究独有的常用措施（例如，视力，折射误差，视野指数），关于源自眼图像的参数（例如，来自视网膜图像的视网膜厚度 OCT，视网膜的宽度和来自RetCAM图像的曲折性），以及有关专门的统计分析在视觉研究中使用的许多实验设计所需的技术（例如，相关数据技术与从同一主题的两只眼睛中处理适当的数据）。另一个目标是提供生物信息学支持从医疗保健数据库访问和分析数据。