Training in Environmental Health Biostatistics

摘要 该计划的目标是培养统计理论和方法的博士前和博士后生物统计学家 环境健康科学（EHS）。补助金由 生物统计学和计算生物学系（DBCB），与 环境医学和公共卫生科学。这11名培训员是这些部门的教员， 其中7人来自DBCB。培训：DBCB提供统计学博士学位，生物信息学 和计算生物学选项，提供严格和最先进的统计培训。所有预-和 博士后学员在DBCB和EHS培训师的联合指导下从事应用EHS项目。 这些项目包括塞舌尔儿童发展研究， 产前接触汞和食用鱼产生的营养物质的研究，以及 邻苯二甲酸盐、全氟烷基物质、双酚A和母亲压力。参与这些研究 为学员提供统计和EHS培训，提供可重复研究的经验， 沟通，并经常激励学员的方法论研究。获得进一步的EHS培训 通过流行病学和毒理学课程以及为受训人员量身定制的实验室图尔斯参观和研讨会。 博士后学员参加DBCB和EHS课程适合他们的经验和兴趣，工作 EHS项目，并参与所有与T32相关的活动。所有受训人员在当地和国家一级展示他们的工作 两会通过T32执行委员会的月度会议和年度会议提供计划监督。 外部咨询委员会的评估，并利用学员的评估，以改善该计划。 培训生选拔：重点是从不同背景中招聘培训生， 代表性不足群体在生物统计专业中的代表性。成功申请 DBCB的统计学博士课程将完成数学专业的学士学位，或 统计学，或在科学与数学或统计学强辅修。本次培训的博士前学员 程序是从统计学博士生中选出的，一般开始T32支持后两年， 在博士课程，并任命长达四年。博士后学员必须已完成博士学位 在统计学，数学，流行病学或相关学科，或有基本的科学训练与强大的 量化技能，并支持长达三年。该计划支持三个博士预科和一个 博士后实习生。

ABSTRACT The program objective is to train predoctoral and postdoctoral biostatisticians in statistical theory and methods and collaboration as applied to environmental health sciences (EHS). The grant is administered through the Department of Biostatistics and Computational Biology (DBCB), in collaboration with the Departments of Environmental Medicine and Public Health Sciences. The eleven trainers are faculty in these departments, seven of whom are from DBCB. Training: The DBCB offers a PhD degree in Statistics, with a Bioinformatics and Computational Biology option, providing rigorous and state-of-the art statistical training. All pre- and postdoctoral trainees work on applied EHS projects under joint mentorship of a DBCB and an EHS trainer. These projects include the Seychelles Child Development Study, which examines neurodevelopmental effects of prenatal exposure to mercury and nutrients from fish consumption, and studies of the reproductive effects of phthalates, perfluoroalkyl substances, bisphenol A, and maternal stress. Involvement in these studies provides trainees with both statistical and EHS training, gives experience in reproducible research and communication, and often motivates trainees' methodologic research. Further EHS training is obtained through courses in epidemiology and toxicology, as well as lab tours and seminars customized to the trainees. Postdoctoral trainees enroll in DBCB and EHS courses appropriate to their experience and interest, work on EHS projects, and participate in all T32-related activities. All trainees present their work at local and national conferences. Program oversight is provided via monthly meetings of the T32 Executive Committee and annual evaluations by the External Advisory Board, and makes use of trainee evaluations to improve the program. Trainee selection: Emphasis is placed on recruiting trainees from diverse backgrounds and increasing representation of under-represented groups in the biostatistics profession. Successful applicants to the Statistics PhD program in DBCB will have completed a baccalaureate degree with a major in mathematics or statistics, or in science with a strong minor in mathematics or statistics. Predoctoral trainees for this training program are selected from among the Statistics PhD students, generally begin T32 support after two years of in the PhD program, and are appointed for up to four years. Postdoctoral trainees must have completed a PhD in statistics, mathematics, epidemiology or a related discipline, or have basic science training with strong quantitative skills, and are supported for up to three years. The program supports three predoctoral and one postdoctoral trainee.