BUSPH Interdisciplinary Training Program for Biostatisticians
BUSPH Interdisciplinary Training Program for Biostatisticians
批准号:
10440325
负责人:
Kathryn L Lunetta
金额:
$31.22万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-07-01 至 2026-06-30
关键词:
中文摘要
项目摘要/摘要
随着过去十年技术的快速进步,使得大量的
与生物医学研究相关的数据,迫切需要培养具有技能的下一代科学家
在与其他人密切协作的环境中,正确分析和解释这些数据
科学家。生物统计学家的跨学科培训计划提供关键培训,以建立下一个
生物统计方面的一代领导人,他们将指导数据收集、数据分析和
结果的解释和传播。需要生物统计学家,他们不仅要强大
方法专家,但也是优秀的沟通者,能在多学科环境中舒适地工作。这
培训计划提供了跨学科研究、可重复性方法和
负责任的行为或研究,同时支持学生的专业和职业发展。
我们的培训目标是:a)任命四名新的和重新任命四名具有不同背景的现有受训人员
每年用于一个将严格的理论统计培训与研究经验相结合的计划
生物信息学、遗传学、观察性研究和临床试验,以及生物学和
可重复的、负责任的和合乎道德的研究;B)在5-6年内达到90%的毕业率
从在受训人员中开始博士课程;c)维持一个培养生物统计学家的方案
在生物医学研究中的标准生物统计学方法和新兴方法方面,也在应用
在跨学科工作环境中的研究经验;d)培养毕业的生物统计学家
来自学术界、工业界和政府的竞争性职业计划,课程包括
有机会获得良好的科学出版物记录、在会议上的演讲和在
跨学科协作和教学。该计划旨在招募不同的受训人员群体,并
提供一个支持性的环境,让所有受训者都能茁壮成长和成功。这是通过创建一个强大的
社区,提供多位导师,并定期从学员那里寻求反馈,以确定机会
完善方案。通过在生物统计学应用的多个领域进行有指导的研究轮换,
学员将获得在多学科团队中进行研究的实践经验。他们也
接受可重复使用的方法进行研究和负责任的行为的正式培训和指导
研究的成果。这为学员提供了广泛的接触,这对他们成为
生物统计学,这是一个高度协作的领域,需要掌握广泛的应用领域和
统计方法。受训者接受全面的职业和职业发展培训。常规
该计划的反馈和评估确保受训者得到极好的指导,并且
导师会收到反馈,并有机会接受额外培训。鼓励学员发展
他们自己的训练计划,并学会在整个计划中变得更加自主。
英文摘要
PROJECT SUMMARY/ABSTRACT
With the fast advances in technology in the last decade enabling the rapid accumulation of large quantities of
data relevant to biomedical research, there is an urgent need to train the next generation of scientists with skills
to correctly analyze and interpret these data while working closely in collaborative environments with other
scientists. The Interdisciplinary Training Program for Biostatisticians provides critical training to build the next
generation of leaders in biostatistics, who will guide the design of data collection, analysis of data, and
interpretation and dissemination of the results. There is a need for biostatisticians who are not only strong
methodologists, but also excellent communicators who are comfortable working in multidisciplinary settings. This
training program provides strong training in interdisciplinary research, reproducibility methods, and the
responsible conduct or research while supporting students in their professional and career development.
Our training objectives are: A) to appoint four new and reappoint four current trainees with diverse backgrounds
per year to a program that integrates rigorous theoretical statistical training with research experience in
bioinformatics, genetics, observational studies and clinical trials, as well as additional training in biology and in
reproducible, responsible and ethical conduct of research; B) to achieve a > 90% graduation rate within 5-6 years
from the start of the PhD program among trainees; C) to maintain a program that produces biostatisticians trained
in both standard biostatistical methods and emerging methodologies in biomedical research but also with applied
research experience in an interdisciplinary working environment; D) to prepare biostatisticians who graduate
from the program for competitive careers in academia, industry, and government via a curriculum that includes
opportunities for a strong record of scientific publications, presentations at conferences, and experience in
interdisciplinary collaborations, and teaching. The program seeks to recruit a diverse group of trainees and to
provide a supportive environment where all trainees can thrive and succeed. This is done by creating a strong
community, providing multiple mentors, and seeking regular feedback from trainees to identify opportunities to
improve the program. Through mentored research rotations in multiple areas of biostatistical application,
trainees receive hands-on experience in working in multidisciplinary teams performing research. They also
receive formal training and mentorship in reproducible methods for conducting research and responsible conduct
of research. This provides trainees with a breadth of exposure that is critical to prepare them to be leaders in
biostatistics, a field that is highly collaborative and requires mastery of a wide range of areas of application and
statistical methodologies. Trainees receive thorough career and professional development training. Regular
feedback and evaluation of the program ensures that trainees are receiving excellent mentorship and that
mentors receive feedback and opportunities to receive additional training. Trainees are encouraged to develop
their own training plan and learn to become more autonomous throughout the program.
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BUSPH Interdisciplinary Training Program for Biostatisticians
-
批准号:10646296
-
项目类别:
-
资助金额:$31.83万
-
财政年份:2021
-
负责人:Kathryn L Lunetta
-
依托单位:
BUSPH Interdisciplinary Training Program for Biostatisticians
-
批准号:10171110
-
项目类别:
-
资助金额:$19.51万
-
财政年份:2021
-
负责人:Kathryn L Lunetta
-
依托单位:
Biostatistics and Data Management
-
批准号:8174254
-
项目类别:
-
资助金额:$77.07万
-
财政年份:2011
-
负责人:Kathryn L Lunetta
-
依托单位:
Novel multi-omics approach to the biology of healthy aging: Framingham Study
-
批准号:9118529
-
项目类别:
-
资助金额:$47.38万
-
财政年份:2006
-
负责人:Kathryn L Lunetta
-
依托单位:
Biostatistics and Data Management
-
批准号:8713234
-
项目类别:
-
资助金额:$107.97万
-
财政年份:--
-
负责人:Kathryn L Lunetta
-
依托单位:
Biostatistics and Data Management
-
批准号:8523804
-
项目类别:
-
资助金额:$102.88万
-
财政年份:--
-
负责人:Kathryn L Lunetta
-
依托单位:
Biostatistics and Data Management
-
批准号:8380299
-
项目类别:
-
资助金额:$106.68万
-
财政年份:--
-
负责人:Kathryn L Lunetta
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依托单位:
海外基金