Integrated Biostatistical Training for CVD Research

CVD 研究综合生物统计培训

• 批准号: 10616598
• 负责人: Sean M O'Brien
• 金额: $ 28.79万
• 依托单位: NORTH CAROLINA STATE UNIVERSITY RALEIGH
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-15 至 2027-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10616598
• 关键词: Biometry; Research; Training

PROJECT SUMMARY/ABSTRACT This application proposes renewal of an integrated program for predoctoral training in biostatistics, focused on preparing trainees for careers in cardiovascular disease research. The escalating demand for skilled biostatisticians equipped to address ongoing and emerging challenges in cardiovascular disease research calls for out-of-the-box training. The proposed program formally integrates extensive experiences in multidisciplinary, collaborative environments; mastery of the theoretical underpinnings of statistics required for rigorous application of sophisticated biostatistical techniques and development of new methodology; and strong underpinnings in communication and leadership skills. The program will be a joint effort of the Department of Statistics at North Carolina State University (NC State), the Duke University Department of Biostatistics and Bioinformatics (B&B), and the Duke Clinical Research Institute (DCRI). It capitalizes on the long-standing partnership between the two doctoral programs and the largest academic clinical research organization in the world, with internationally known researchers at the forefront of cardiovascular disease and related research. The five-year program will support five trainee positions in the NC State Department and two positions in Years 1-3 and three in Years 4-5 in Duke B&B, with average duration of appointment 2-3 years. In addition, NC State will provide two additional matching slots and DCRI will provide two additional slots in each year for trainees transitioning from training grant funding. Trainees at each institution will pursue rigorous study of statistical theory, including probability, inference, linear and other statistical models, advanced probability, and advanced statistical inference; and of statistical methods, including clinical trials design/analysis, longitudinal data analysis, survival analysis, and cutting-edge topics, such as record linkage, machine learning, parallel computing relevant to biomedical Big Data. They will also receive training in fundamental aspects of biology and cardiovascular medicine as well as research responsibility and ethics; and extensive formal and experiential training in communication and leadership skills. Trainees will be introduced to DCRI cardiovascular disease research gradually and evolve to full collaborative apprenticeships in which they are integrated as functioning members of DCRI project teams. Through this apprenticeship and formal courses and seminars, trainees will develop considerable working knowledge of cardiovascular medicine that will position them to make immediate contributions to cardiovascular disease research upon completion of the program. Each trainee will be assigned an inter-institutional mentorship team comprising a biostatistician mentor at each of NC State and B&B and a clinician mentor whose primary affiliation is at DCRI, which will collaborate in guiding them through all aspects. Dissertation research will involve development and evaluation of novel statistical methodology inspired by challenges encountered in trainees’ collaborations. Trainees will benefit from exposure to different cultures across both institutions, broadening their perspectives and access to courses, seminars, and other resources.

项目概要/摘要 该申请提议更新生物统计学博士前培训综合计划，重点是 为学员从事心血管疾病研究做好准备 对熟练技术人员的需求不断增加。 生物统计学家有能力应对心血管疾病研究中持续存在和新出现的挑战 拟议的计划正式整合了多学科的丰富经验， 协作环境；掌握严格应用所需的统计学理论基础 先进的生物统计技术和新方法的开发；以及 该计划将由北方统计局共同努力。 卡罗莱纳州立大学（NC State）、杜克大学生物统计与生物信息学系（B&B）、 它利用了两者之间的长期合作伙伴关系。 博士项目和世界上最大的学术临床研究组织，具有国际知名度 该五年计划将支持心血管疾病及相关研究前沿的研究人员。 北卡罗来纳州国务院有 5 个实习生职位，杜克大学 1-3 年有 2 个实习生职位，4-5 年有 3 个实习生职位 B&B，平均聘用期限2-3年 此外，北卡罗来纳州将提供两次额外的匹配。 名额和 DCRI 每年将为从培训补助资金过渡的学员提供两个额外的名额。 每个机构的学员将严格研究统计理论，包括概率、推理、线性 和其他统计模型、高级概率和高级统计推断；以及统计方法； 包括临床试验设计/分析、纵向数据分析、生存分析和前沿主题，例如 例如与生物医学大数据相关的记录链接、机器学习、并行计算。 生物学和心血管医学基础方面的培训以及研究责任和 道德规范；以及沟通和领导技能方面的广泛正式和体验式培训。 逐步引入 DCRI 心血管疾病研究并发展为全面合作学徒制 通过这种学徒期，他们将成为 DCRI 团队项目的职能成员。 正式课程和研讨会，学员将掌握丰富的心血管医学工作知识 这将使他们能够在完成后立即为心血管疾病研究做出贡献 该计划将为每位学员分配一个由生物统计学家组成的机构间指导团队。 北卡罗来纳州和 B&B 各分校的导师以及主要隶属于 DCRI 的临床医生导师，该导师将 论文研究将涉及开发和评估的各个方面进行合作指导。 受训者合作中遇到的挑战启发的新颖的统计方法。 受益于两个机构的不同文化的接触，拓宽了他们的视角和接触机会 课程、研讨会和其他资源。

项目成果

Transfer times and outcomes in patients with ST-segment-elevation myocardial infarction undergoing interhospital transfer for primary percutaneous coronary intervention: APEX-AMI insights.

ST 段抬高型心肌梗死患者接受院间转运进行初次经皮冠状动脉介入治疗的转运时间和结果：APEX-AMI 见解。

• 发表时间: 2012-07-01
• 作者: van Diepen, Sean;Widimsky, Petr;Lopes, Renato D;White, Kyle R;Weaver, W Douglas;Van de Werf, Frans;Ardissino, Diego;van't Hof, Arnoud W J;Armstrong, Paul W;Granger, Christopher B
• 通讯作者: Granger, Christopher B

Comparative effectiveness of torsemide versus furosemide in heart failure patients: insights from the PROTECT trial.

托拉塞米与呋塞米对心力衰竭患者的疗效比较：PROTECT 试验的见解。

• 发表时间: 2015-09
• 影响因子: 1.7
• 作者: Mentz, Robert J;Velazquez, Eric J;Metra, Marco;McKendry, Colleen;Chiswell, Karen;Fiuzat, Mona;Givertz, Michael M;Voors, Adriaan A;Teerlink, John R;O'Connor, Christopher M
• 通讯作者: O'Connor, Christopher M

Sex differences in long-term outcomes of patients across the spectrum of coronary artery disease.

各种冠状动脉疾病患者长期结局的性别差异。

• 发表时间: 2018-12
• 影响因子: 4.8
• 作者: Pagidipati, Neha J;Mudrick, Daniel W;Chiswell, Karen;Brucker, Amanda;Peterson, Eric D;Douglas, Pamela S
• 通讯作者: Douglas, Pamela S

Incidence and outcome of post-transplant lymphoproliferative disorders in lung transplant patients: Analysis of ISHLT Registry.

肺移植患者移植后淋巴增殖性疾病的发生率和结果：ISHLT 登记分析。

• 发表时间: 2020
• 作者: Zaffiri, Lorenzo;Long, Ale;Neely, Megan L;Cherikh, Wida S;Chambers, Daniel C;Snyder, Laurie D
• 通讯作者: Snyder, Laurie D

Implementation and Continuous Monitoring of an Electronic Health Record Embedded Readmissions Clinical Decision Support Tool.

电子健康记录嵌入式再入院临床决策支持工具的实施和持续监控。

• 发表时间: 2020-08-26
• 作者: Gallagher, David;Zhao, Congwen;Brucker, Amanda;Massengill, Jennifer;Kramer, Patricia;Poon, Eric G;Goldstein, Benjamin A
• 通讯作者: Goldstein, Benjamin A