CORE--BIOINFORMATICS AND ENVIRONMENTAL BIOSTATISTICS

核心--生物信息学与环境生物统计学

• 批准号: 7393270
• 负责人: SCOTT L. ZEGER
• 金额: $ 29.73万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-04-01 至 2008-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7393270
• 关键词: Address; Bioinformatics; Biometry; Biostatistics Core; Cessation of life; Cities; Collaborations; Computer software; Data; Data Set; Disease regression; Environmental Health; Experimental Designs; Faculty; Frequencies; Harvest; Health; Informatics; Internet; Laboratories; Leadership; Literature; Measurement; Methodology; Methods; Modeling; Observational Study; Outcome Measure; Paper; Particulate; Pollution; Publications; Purpose; Relative Risks; Research; Research Design; Research Personnel; Role; Sampling; Series; Site; Standards of Weights and Measures; Statistical Methods; Structure; Testing; Time; Toxicology; Urination; Variant; Work; data management; design; improved; innovation; member; mortality; novel; programs; research study

Description (provided by applicant): There are two main objectives of the Bioinformatics and Biostatistics Core (BSIC): 1) provide leadership on the application of statistical/informatics reasoning and methods in Center research, including the design of experimental and observational studies and analysis or the resulting data; 2) develop and apply innovative statistical methods to Center research data and to thereby improve scientific inferences drawn by Center investigators. Collaboration -the biostatistics and bioinformatics experts in the BSIC will actively participate with members of the Center on specific research programs. For example, Drs. Zeger and Dominici currently collaborate with Drs. Samet on the NMMAPS project and Dr. Irizarry collaborates with Dr. Tankersley on a toxicology study. New collaborations will arise as they are needed through informal discussions among faculty or by a formal request to the director. BSIC faculty are experts in the design of both observational and experimental studies. They work with their colleague to: precisely define the hypotheses so that they are maximally testable; choose the study design; define the exposure and health outcome measures as precisely as possible, plan data management and analytic methods. Where existing methods are inadequate, they will also develop novel methods to fill the void.

描述（由申请人提供）：生物信息学有两个主要目标