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.

项目总结/文摘

项目成果

Early vs. late worsening heart failure during acute heart failure hospitalization: insights from the PROTECT trial.

• DOI: 10.1002/ejhf.308
• 发表时间: 2015-07
• 期刊: European journal of heart failure
• 影响因子: 18.2
• 作者: Mentz RJ;Metra M;Cotter G;Milo O;McKendry C;Chiswell K;Davison BA;Cleland JG;Bloomfield DM;Dittrich HC;Fiuzat M;Ponikowski P;Givertz MM;Voors AA;Teerlink JR;O'Connor CM
• 通讯作者: O'Connor CM

Bending the Cardiovascular Event Curve by Evaluating the Potential Impact of Achieving Low-Density Lipoprotein Cholesterol Goal Across a Large Health System Among Secondary Prevention Patients.

通过评估在二级预防患者中在大型卫生系统中实现低密度脂蛋白胆固醇目标的潜在影响来弯曲心血管事件曲线。

• DOI: 10.1016/j.amjcard.2022.10.033
• 发表时间: 2023
• 期刊: The American journal of cardiology
• 作者: Shah,NishantP;Page,Courtney;Green,CynthiaL;Gao,Michael;Cavalier,Joanna;McGarrah,RobertW;DeWald,TracyA;Sangvai,Devdutta;Patel,ManeshR;Pagidipati,NehaJ
• 通讯作者: Pagidipati,NehaJ

Clinical and Echocardiographic Predictors of Outcomes in Patients With Pulmonary Hypertension.

• DOI: 10.1016/j.amjcard.2018.05.019
• 发表时间: 2018-09-01
• 期刊: The American journal of cardiology
• 作者: Siddiqui I;Rajagopal S;Brucker A;Chiswell K;Christopher B;Alenezi F;Mandawat A;Rivera D;Arges K;Tapson V;Kisslo J;Velazquez E;Douglas PS;Samad Z
• 通讯作者: Samad Z

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

• DOI: 10.3390/jpm10030103
• 发表时间: 2020-08-26
• 期刊: Journal of personalized medicine
• 作者: Gallagher D;Zhao C;Brucker A;Massengill J;Kramer P;Poon EG;Goldstein BA
• 通讯作者: Goldstein BA

Serious infection after acute myocardial infarction: incidence, clinical features, and outcomes.

• DOI: 10.1016/j.jcin.2012.03.018
• 发表时间: 2012-07
• 期刊: JACC-CARDIOVASCULAR INTERVENTIONS
• 影响因子: 11.3
• 作者: Truffa, Adriano A. M.;Granger, Christopher B.;White, Kyle R.;Newby, L. Kristin;Mehta, Rajendra H.;Hochman, Judith S.;Patel, Manesh R.;Pieper, Karen S.;Al-Khalidi, Hussein R.;Armstrong, Paul W.;Lopes, Renato D.
• 通讯作者: Lopes, Renato D.