Training in Environmental Health Biostatistics
环境健康生物统计学培训
基本信息
- 批准号:9307822
- 负责人:
- 金额:$ 20.86万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1992
- 资助国家:美国
- 起止时间:1992-07-01 至 2020-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant)
The Program's goal is to train pre-doctoral and postdoctoral biostatisticians in statistical theory
and methods as applied to environmental health (EHS). This aim is addressed by an integrated collaboration between biostatisticians, environmental epidemiologists and toxicologists to provide: supervision by biostatisticians with extensive experience in the development of statistical methodology; interaction with researchers with extensive experience in human and animal studies; practical experience in the applications of statistical methodology to problems in toxicology by participating in consulting projects and attending colloquia; mentoring of trainees to assist in developing independent academic careers. Training: This Training Program is a collaboration between the Departments of Biostatistics and Computational Biology (DBCB), the Environmental Health Sciences Center and the Department of Public Health Sciences. The DBCB offers a Ph.D. degree in Statistics with an option in Biostatistics. The Department, created to foster biostatistical research and collaboration with researchers in the Medical Center, provides the administrative leadership and the critical link with the epidemiologists and toxicologists. Trainees will be matched with a biostatistician as primary preceptor and an environmental health scientist as a secondary cosponsor. The Environmental Health Sciences Biostatistics Training Grant Committee will review the progress of the trainees and the program. Trainees: Pre-doctoral trainees will have completed a baccalaureate degree with a major in mathematics, statistics, or a science major with a strong minor in mathematics or statistics. Selection is based on academic record, GRE scores, and recommendations. Pre-doctoral trainees must fulfill the standard requirements for the Ph.D. degree in statistics plus additional courses in biostatistics, epidemiology and toxicology. Three pre-doctoral awards will be granted, for up to four years. Postdoctoral trainees must have completed a Ph.D. in statistics, mathematics or a related discipline, or have basic science training with strong quantitative skills Each postdoctoral trainee will enroll in appropriate courses, attend seminars, and work with faculty mentors on biostatistics research and specific toxicology related projects. One postdoctoral traineeship will be supported in each year of the program.
描述(由申请人提供)
该计划的目标是培养统计理论的博士前和博士后生物统计学家
以及应用于环境健康(EHS)的方法。为实现这一目标,生物统计学家、环境流行病学家和毒理学家进行了综合合作,以便:由在统计方法发展方面具有丰富经验的生物统计学家进行监督;与在人类和动物研究方面具有丰富经验的研究人员进行互动;通过参加咨询项目和参加座谈会,积累将统计方法应用于毒理学问题的实际经验;指导受训人员,协助他们发展独立的学术生涯。培训内容:该培训计划是生物统计学和计算生物学(DBCB),环境健康科学中心和公共卫生科学系之间的合作。DBCB提供了一个博士学位。统计学学位,生物统计学选项。该部门旨在促进生物统计研究以及与医学中心研究人员的合作,提供行政领导以及与流行病学家和毒理学家的关键联系。学员将与一名生物统计学家作为主要导师,一名环境健康科学家作为次要共同发起人进行匹配。环境健康科学生物统计培训资助委员会将审查学员和计划的进展情况。受训人员:博士前学员将完成学士学位,主修数学,统计学,或主修科学,辅修数学或统计学。选择是基于学习成绩,GRE成绩和建议。博士预科生必须符合博士学位的标准要求。统计学学位,加上生物统计学,流行病学和毒理学的额外课程。将授予三个博士前奖,为期四年。博士后必须完成博士学位。在统计学,数学或相关学科,或具有较强的定量技能的基础科学培训每个博士后实习生将参加适当的课程,参加研讨会,并与教师导师在生物统计学研究和具体的毒理学相关项目。一个博士后实习将在该计划的每一年支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('Sally W Thurston', 18)}}的其他基金
Postnatal Methylmercury Effects on Neurodevelopment
产后甲基汞对神经发育的影响
- 批准号:
9223392 - 财政年份:2017
- 资助金额:
$ 20.86万 - 项目类别:
BAYESIAN BIOMARKER MODELS FOR CANCER GENETICS STUDIES
用于癌症遗传学研究的贝叶斯生物标记模型
- 批准号:
6659844 - 财政年份:2002
- 资助金额:
$ 20.86万 - 项目类别:
BAYESIAN BIOMARKER MODELS FOR CANCER GENETICS STUDIES
用于癌症遗传学研究的贝叶斯生物标记模型
- 批准号:
6331506 - 财政年份:2002
- 资助金额:
$ 20.86万 - 项目类别:
BAYESIAN BIOMARKER MODELS FOR CANCER GENETICS STUDIES
用于癌症遗传学研究的贝叶斯生物标记模型
- 批准号:
6779205 - 财政年份:2002
- 资助金额:
$ 20.86万 - 项目类别:
BAYESIAN MEASUREMENT ERROR MODELS FOR EPIDEMIOLOGY
流行病学贝叶斯测量误差模型
- 批准号:
2909983 - 财政年份:1999
- 资助金额:
$ 20.86万 - 项目类别:
BAYESIAN MEASUREMENT ERROR MODELS FOR EPIDEMIOLOGY
流行病学贝叶斯测量误差模型
- 批准号:
2638407 - 财政年份:1998
- 资助金额:
$ 20.86万 - 项目类别:
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