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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 有效行为干预措施的开发和评估取决于有效，可靠 测量，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，生物统计学家拥有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（Rod Little），维杰·奈尔（Vijay Nair）和米克·库珀（Mick Couper）是高级的 统计学家和方法学家，他们在最初的CECCR1提案中扮演着积极的角色。这个团队 CECCR2仍然是完整的，他们一直积极参与开发可测试的特定目标，并且 CECCR2项目的适当统计设计和分析。统计领导的这种连续性 意味着参与CECCR2的统计学家已经精通复杂的统计问题 与开发有效的量身定制的健康干预措施有关，例如分数阶乘设计，数据 插补和混合模型具有随机效果。 生物统计学和测量核心的具体目的是： 1）在与研究统计设计有关的所有问题上提供领导和帮助 CECCR2的发展项目。具体而言，要与所有三个CECCR2的研究人员合作 研究项目以开发有效的实验设计，并（如果适用）适当的顺序 识别主动组件，完善我们对其影响的理解并优化的策略 在多组分程序中选择治疗环境。 2）监督CECCR2项目收集的数据的管理，请确保机密性 参与者受到保护，并提供准确的数据进行统计分析，以满足项目的目标。 3）通过选择适当的 用于数据分析，分析数据和编写赠款和研究的统计部分的统计方法 文章。该核心还将为调查人员提供统计咨询。 发展项目在提交中心和资助机构之前。 4）建议调查人员制定，适应和修剪评估措施，并最大程度地使用 跨项目的共同措施；并设计研究以评估可靠性，有效性和因素结构。 5）进行统计方法的研究，可以应用于CECCR2和其他量身定制的方法 通信研究活动。生物统计学核心将评估和开发统计的新方法 CECCR2研究特别分析。具体主题将包括分数的开发 CECCR2中的阶乘设计，部分违规的方法和缺失值。