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中文摘要
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方法论核心 摘要 CCCR的方法论核心将汇集来自不同科学背景的研究人员,他们的 研究兴趣包括CCCR的特定焦点疾病、骨关节炎和痛风,以及兴趣。 治疗脊柱炎、硬皮病、骨质疏松症和肌肉骨骼疼痛。通过风湿病,康复 流行病学和生物统计学研究人员每周会面一次,方法论核心创造了 跨学科对话,并向临床医生研究人员提供方法学专业知识, 否则不会成为他们的资助或科学项目的一部分。与前面的MCRC一样,有一个重点是 方法以骨性关节炎和痛风现有队列和新队列的流行病学研究为核心。在……里面 此外,在过去的五年中,我们在解决流行病学问题方面积累了专业知识,使用大型 电子健康记录数据库,特别是健康改善网络(Thin)。波士顿大学 CCCR集团以培训年轻调查人员而闻名,其中许多人现在占了很大一部分 国内外风湿病临床研究人员。方法论核心将继续 重视培养博士后、博士后和风湿病研究员。 这个方法学核心的总体目标是为临床研究提供最先进的方法学投入。 我们研究的骨性关节炎、痛风和其他疾病中的问题,并介绍新的有影响力的临床研究方法 致力于这些疾病的研究。除了为研究方案、设计和统计提供支持外 分析中,将使用现代流行病学方法,包括因果推断和孟德尔随机化。 此外,由于它们是未来CCCR疾病临床研究的主要组成部分,我们将 包括机器学习和移动健康技术方面的新专业知识。
英文摘要
METHODOLOGY CORE ABSTRACT The Methodology Core of the CCCR will bring together investigators from diverse scientific backgrounds whose research interests are in the specific diseases of focus for this CCCR, osteoarthritis and gout, along with interests in spondyloarthritis, scleroderma, osteoporosis and musculoskeletal pain. By having rheumatology, rehabilitation and epidemiology and biostatistics investigators meet once a week together, the Methodology Core creates interdisciplinary conversations and makes available to clinician researchers methodologic expertise that would otherwise not be part of their grants or scientific projects. As in the prior MCRC, there is a focus in the Methodology Core on epidemiologic studies of established and new cohorts in osteoarthritis and gout. In addition, in the past five years we have developed expertise in addressing epidemiologic questions using large electronic health record databases, especially the Health Improvement Network (THIN). The Boston University CCCR group is well known for training young investigators, many of whom now make up a large segment of the clinical researchers in rheumatology domestically and around the world. The Methodology Core will continue to emphasize training doctoral and postdoctoral students and rheumatology fellows. The overall goals of this methodology core are to provide state of the art methodologic input into clinical research questions in OA, gout and other diseases we study and also to introduce new impactful clinical research methods into the study of these diseases. In addition to providing support for study protocols, design and statistical analysis, modern epidemiologic methods involving causal inference and Mendelian randomization will be used. Further, because they represent major components of the future of clinical research in CCCR diseases, we will include new expertise in machine learning and mobile health technologies.
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Core D: Analysis Core
  • 批准号:
    10555685
  • 项目类别:
  • 资助金额:
    $63.91万
  • 财政年份:
    2023
  • 负责人:
    Michael Paul Lavalley
  • 依托单位:
Research and Evaluation Support Core Unit (RESCU Core)
  • 批准号:
    10466816
  • 项目类别:
  • 资助金额:
    $38.04万
  • 财政年份:
    2019
  • 负责人:
    Michael Paul Lavalley
  • 依托单位:
Research and Evaluation Support Core Unit (RESCU Core)
  • 批准号:
    10669162
  • 项目类别:
  • 资助金额:
    $38.04万
  • 财政年份:
    2019
  • 负责人:
    Michael Paul Lavalley
  • 依托单位:
Methodology Core
  • 批准号:
    7676107
  • 项目类别:
  • 资助金额:
    $39.3万
  • 财政年份:
    2008
  • 负责人:
    Michael Paul Lavalley
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis