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• 批准号: 7613084
• 负责人: RODERICK J. LITTLE
• 金额: $ 7.98万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7613084
• 关键词: Accounting; Address; Area; Area Analyses; Basic Science; Behavior Therapy; Behavioral; Biometry; Biostatistics Core; Clinical; Clinical Research Protocols; Cognitive; Communication Research; Complex; Computer software; Computers; Confidentiality; Consult; Consultations; Cost Effectiveness Analysis; Critiques; Custom; Data; Data Analyses; Data Collection; Data Element; Data Quality; Data Set; Databases; Depth; Development; Drug Formulations; Echocardiography; Ensure; Evaluation; Experimental Designs; Eye; Factor Analysis; Faculty; Functional Magnetic Resonance Imaging; Funding; Funding Agency; Goals; Health; Health behavior change; Health system; Heart; Human Resources; Information Technology; Internet; Intervention; Interview; Investigation; Journals; Lead; Leadership; Learning; Life; Mails; Measurement; Measures; Medical; Medical center; Meta-Analysis; Methodology; Methods; Metric; Michigan; Modeling; Names; Noise; Numbers; Outcome; Paper; Participant; Patients; Phase; Play; Procedures; Process Measure; Protocols documentation; Psychometrics; Publications; Rate; Reporting; Research; Research Activity; Research Design; Research Methodology; Research Personnel; Research Project Grants; Resource Sharing; Resources; Respondent; Role; Running; SAS; Sample Size; Screening for cancer; Secure; Security; Selection for Treatments; Site; Smoking; Standards of Weights and Measures; Statistical Data Interpretation; Statistical Methods; Structure; Students; Supervision; System; Techniques; Technology; Telephone; Testing; Training; Travel; Ultrasonography; United States Dept. of Health and Human Services; Universities; Validity and Reliability; Vocabulary; Voice; Work; Writing; cancer Biomedical Informatics Grid; cancer therapy; cognitive neuroscience; computerized data processing; concept; cost; data management; design; follow-up; improved; member; method development; musculoskeletal ultrasound; pre-doctoral; programs; prospective; relating to nervous system; repository; response; retinal rods; social

A. CORE B OVERVIEW The development and evaluation of effective behavioral interventions depends on valid, reliable measurements, efficient statistical design and data collection methods, and appropriate data analysis techniques. Accordingly, biostatisticians have and will continue to play a pivotal role in research conducted by the CECCR2. The key personnel, Drs. Rod Little, Vijay Nair and Mick Couper, are senior and highly-respected statisticians and methodologists, who each played active roles in the initial CECCR1 proposal. This team remains intact for CECCR2, and they have been actively involved in developing testable specific aims and appropriate statistical design and analysis for the Projects in CECCR2. This continuity of statistical leadership means that the statisticians involved in CECCR2 are already well versed in the complex statistical issues associated with developing effective tailored health interventions, such as fractional factorial designs, data imputation, and mixed models with random effects. The specific aims of the Biostatistics and Measurement Core are: 1) To provide leadership and assistance on all issues relating to statistical design of the Research and Developmental Projects of CECCR2. Specifically, to collaborate with researchers in all three CECCR2 Research Projects to develop efficient experimental designs and (where appropriate) suitable sequential strategies for identifying the active components, to refine our understanding of their effects, and to optimize the selection of treatment settings in multi-component programs. 2) To oversee the management of data collected by CECCR2 Projects, ensure that the confidentiality of participants is protected, and provide accurate data for statistical analysis that meets the goals of the Projects. 3) To provide leadership and support on the statistical analysis of CECCR2 Projects, by selecting appropriate statistical methods for data analysis, analyzing the data, and writing statistical sections for grants and research articles. This Core will also provide statistical consultation for investigators in the design and analysis of Developmental Projects prior to their submission to the Center and funding agencies. 4) Advise investigators in developing, adapting, and pruning assessment measures, and maximizing use of common measures across Projects; and designing studies to assess reliability, validity, and factor structure. 5) To conduct research on statistical methodology, which can be applied to CECCR2 and other tailored communications research activities. The Biostatistics Core will evaluate and develop new methods of statistical analysis particularly germane to CECCR2 research. Specific topics will include development of fractional factorial designs in CECCR2, methods for partial noncompliance, and missing values.

A.核心B概述 有效的行为干预措施的开发和评估依赖于有效的、可靠的 有效的统计设计和数据收集方法，以及适当的数据分析 技术.因此，生物统计学家已经并将继续在研究中发挥关键作用， CECCR2。关键人员，博士罗德利特尔，维贾伊奈尔和米克库珀，是资深和高度尊重 统计学家和方法学家，他们都在最初的CECCR 1提案中发挥了积极作用。这支球队 在CECCR 2中保持不变，他们一直积极参与制定可测试的具体目标， 为CECCR 2中的项目进行适当的统计设计和分析。这种统计领导地位的连续性 这意味着参与CECCR 2的统计人员已经精通复杂的统计问题 与制定有效的量身定制的健康干预措施相关，如部分因子设计，数据 插补和随机效应混合模型。 生物统计和计量核心的具体目标是： 1)在与研究和统计设计有关的所有问题上提供领导和协助， CECCR 2的发展项目。具体而言，与所有三个CECCR的研究人员合作2 研究项目，以开发有效的实验设计和（在适当的情况下）适当的顺序 识别活性成分的策略，以完善我们对其影响的理解，并优化 在多组分方案中选择治疗设置。 2)监督CECCR 2项目收集的数据的管理，确保 参与者受到保护，并为满足项目目标的统计分析提供准确的数据。 3)通过选择适当的项目，领导和支持CECCR 2项目的统计分析。 数据分析的统计方法，分析数据，并为赠款和研究撰写统计部分 用品.该核心还将为研究者设计和分析 发展项目之前，他们提交给中心和资助机构。 4)建议调查人员制定，调整和修剪评估措施，并最大限度地利用 跨项目的共同措施;和设计研究，以评估可靠性，有效性和因素结构。 5)进行统计方法研究，可应用于CECCR 2和其他定制的 通信研究活动。生物统计学核心将评估和开发新的统计方法， 分析特别密切相关的CECCR 2研究。具体的主题将包括分数的发展 CECCR 2中的析因设计、部分不依从性的方法和缺失值。