Integration of Mixtures Toxicology and Statistics

描述（由申请人提供） 该培训补助金的目的是培训生物统计学家， 在跨学科的合作团队中工作，解决问题 与解释化学混合物的影响有关。 的关键 这次冒险的成功是关键的努力的结合 科学家（混合物毒理学家和生物统计学家） 化学混合物与生物统计系的学员。 的 目标是让学员了解和体验工作 关于化学品混合物的统计问题。 这些学员将在 有资格在政府机构，学术界， 和行业，其中正确评估药物/化学品相互作用是 变得越来越重要。 学员将获得博士学位。生物统计系学生 弗吉尼亚医学院弗吉尼亚联邦校区 大学（VCU），在那里他们将继续博士培训， 生物统计学学科。 将获得更多的专业知识 通过对论文主题的工作是相关的领域， 混合物和通过与毒理学家和/或风险 在化学混合物领域积极工作的评估员。 通过 这些实习计划，学生将获得经验， 与一组专家一起研究化学混合物。 受训人员将协助设计混合物研究， 适当的功效分析，分析结果数据并编写报告， 导师对结果的正确解释。 此外，本发明还提供了一种方法， 学员将与生物统计学家合作， 设计和分析所涉问题的统计方法 化学品混合物研究所产生的数据， 对混合物研究的数据进行分析。

DESCRIPTION (provided by applicant) The objective of this training grant is to train biostatisticians to work in inter-disciplinary collaborative teams addressing the problems associated with explaining the effects of chemical mixtures. A key to the success of this venture is the joining of the efforts of key scientists (mixtures toxicologists and biostatisticians) in the field of chemical mixtures with trainees from a department of biostatistics. The goal is for trainees to gain an understanding of and experience working on statistical issues of mixtures of chemicals. These trainees will be qualified to hold unique positions in governmental agencies, academia, and industry where properly evaluating drug/chemical interactions is becoming increasingly important. The trainees will be Ph.D. students in the Department of Biostatistics at the Medical College of Virginia campus of Virginia Commonwealth University (VCU), where they will pursue doctoral training in the discipline of biostatistics. Additional expertise will be achieved through work on dissertation topics that are pertinent to the field of mixtures and through externships with toxicologists and/or risk assessors actively working in the area of chemical mixtures. Through these externship programs, students will gain experience collaborating with a team of experts working on studies involving chemical mixtures. The trainees will assist in the design of mixture studies, conduct appropriate power analyses, analyze resulting data and write reports for the preceptor with proper interpretation of the results. In addition, the trainees will collaborate with biostatisticians who are developing statistical methodology for issues involved in the design and analysis of data resulting from studies of mixtures of chemicals and who are conducting analyses of data from mixture studies.