Biostatistics Module

生物统计模块

• 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
• 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

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