Integration of Mixtures Toxicology, Toxicogenomics and Statistics.
混合物毒理学、毒理学和统计学的整合。
基本信息
- 批准号:8882422
- 负责人:
- 金额:$ 16.16万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2002
- 资助国家:美国
- 起止时间:2002-07-01 至 2016-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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 evaluating the effects of relevant environmental chemical mixtures or in the area of toxicogenomics. A key to the success of this venture is the joining of the efforts of key scientists (genomic or mixtures toxicologists, environmental epidemiologists and biostatisticians) in the fields of chemical mixtures or toxicogenomics with trainees from a department of biostatistics. The goal is for trainees to gain an understanding of and experience working on statistical issues for these two important areas of toxicology. These trainees will be qualified to
hold unique positions in governmental agencies, academia, and industry where properly evaluating risks associated with relevant chemical exposures is becoming increasingly important. The trainees will be Ph.D. students in the Department of Biostatistics at the Virginia Commonwealth University (VCU), where they will pursue pre-doctoral training in the discipline of biostatistics. Additional expertise will be achieved through work on dissertation/research topics that are pertinent to the field of mixtures or toxicogenomics and through collaborative work with toxicologists and/or environmental epidemiologists actively working in their area of interest. Through these research projects, students will gain experience collaborating with a team of experts working to understand the relationship between environmental exposures and human disease susceptibility. The trainees will assist in the design of studies, conduct appropriate power analyses, analyze resulting data, write reports with proper interpretation of the results, and participate in a collaborative team to produce one or more manuscripts for peer-review publication. In addition, the trainees will have dissertation topics developing statistical methodology for issues involved in the design and analysis of data resulting from chemical mixtures studies or high-throughput technologies.
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合作团队中工作,解决与评估相关环境化学混合物或毒理学领域的影响相关的问题。这一项目成功的关键是化学混合物或毒理基因组学领域的主要科学家(基因组或混合物毒理学家、环境流行病学家和生物统计学家)与生物统计学系的受训人员共同努力。目标是让学员了解毒理学这两个重要领域的统计问题并获得相关工作经验。这些受训人员将有资格
在政府机构、学术界和工业界担任独特职位,适当评估与相关化学品接触相关的风险变得越来越重要。学员将获得博士学位。弗吉尼亚联邦大学(VCU)生物统计学系的学生,在那里他们将继续生物统计学学科的博士前培训。额外的专业知识将通过与混合物或毒理学领域相关的论文/研究主题的工作,并通过与积极在其感兴趣的领域工作的毒理学家和/或环境流行病学家的合作来实现。通过这些研究项目,学生将获得与专家团队合作的经验,以了解环境暴露与人类疾病易感性之间的关系。学员将协助设计研究,进行适当的功率分析,分析结果数据,编写报告,对结果进行适当的解释,并参加一个协作团队,为同行评审出版物制作一个或多个手稿。此外,学员将有论文题目开发统计方法的设计和分析的数据所涉及的问题,从化学混合物的研究或高通量技术。
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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Kellie J. Archer其他文献
Regularized Mixture Cure Models Identify a Gene Signature That Improves Risk Stratification within the Favorable-Risk Group in 2017 European Leukemianet (ELN) Classification of Acute Myeloid Leukemia (Alliance 152010)
- DOI:
10.1182/blood-2022-166477 - 发表时间:
2022-11-15 - 期刊:
- 影响因子:
- 作者:
Kellie J. Archer;Han Fu;Krzysztof Mrózek;Deedra Nicolet;Jessica Kohlschmidt;Alice S. Mims;Geoffrey L. Uy;Wendy Stock;John C. Byrd;Ann-Kathrin Eisfeld - 通讯作者:
Ann-Kathrin Eisfeld
Characterization of Survival Outcomes and Clinical and Molecular Modulators in Adult Patients with Core-Binding Factor Acute Myeloid Leukemia (CBF-AML) Treated with Hidac Consolidation: An Alliance Legacy Study
- DOI:
10.1182/blood-2022-167210 - 发表时间:
2022-11-15 - 期刊:
- 影响因子:
- 作者:
Jonathan Hyak;Deedra Nicolet;Jessica Kohlschmidt;Kellie J. Archer;James S. Blachly;Karilyn T. Larkin;Bayard L. Powell;Jonathan E. Kolitz;Maria R. Baer;William G. Blum;Geoffrey L. Uy;Wendy Stock;Richard M. Stone;John C. Byrd;Krzysztof Mrózek;Ann-Kathrin Eisfeld;Alice S. Mims - 通讯作者:
Alice S. Mims
Comparing genetic profiles of embryonic day 9 (E9) mouse yolk sac erythroid and erythroid and epithelial cells isolated by microdissection
- DOI:
10.1016/j.bcmd.2006.10.124 - 发表时间:
2007-03-01 - 期刊:
- 影响因子:
- 作者:
Latasha C. Redmond;Jack L. Haar;Catherine I. Dumur;Kellie J. Archer;Priyadarshi Basu;Joyce A. Lloyd - 通讯作者:
Joyce A. Lloyd
Beat-AML 2024 ELN–refined risk stratification for older adults with newly diagnosed AML given lower-intensity therapy
- DOI:
10.1182/bloodadvances.2024013685 - 发表时间:
2024-10-22 - 期刊:
- 影响因子:
- 作者:
Fieke W. Hoff;William G. Blum;Ying Huang;Rina Li Welkie;Ronan T. Swords;Elie Traer;Eytan M. Stein;Tara L. Lin;Kellie J. Archer;Prapti A. Patel;Robert H. Collins;Maria R. Baer;Vu H. Duong;Martha L. Arellano;Wendy Stock;Olatoyosi Odenike;Robert L. Redner;Tibor Kovacsovics;Michael W. Deininger;Joshua F. Zeidner - 通讯作者:
Joshua F. Zeidner
Outcome Prediction By the New 2022 European Leukemia Net (ELN) Genetic-Risk Classification for Adult Patients (Pts) with Acute Myeloid Leukemia (AML): An Alliance Study
- DOI:
10.1182/blood-2022-167352 - 发表时间:
2022-11-15 - 期刊:
- 影响因子:
- 作者:
Krzysztof Mrózek;Jessica Kohlschmidt;James S. Blachly;Deedra Nicolet;Andrew J. Carroll;Kellie J. Archer;Alice S. Mims;Karilyn T. Larkin;Shelley Orwick;Christopher C. Oakes;Jonathan E. Kolitz;Bayard L. Powell;William G. Blum;Guido Marcucci;Maria R. Baer;Geoffrey L. Uy;Wendy Stock;John C. Byrd;Ann-Kathrin Eisfeld - 通讯作者:
Ann-Kathrin Eisfeld
Kellie J. Archer的其他文献
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{{ truncateString('Kellie J. Archer', 18)}}的其他基金
Pretransplant comprehensive scores to predict long term graft outcomes
移植前综合评分可预测长期移植结果
- 批准号:
10679624 - 财政年份:2023
- 资助金额:
$ 16.16万 - 项目类别:
Penalized mixture cure models for identifying genomic features associated with outcome in acute myeloid leukemia
用于识别与急性髓系白血病结果相关的基因组特征的惩罚混合治疗模型
- 批准号:
10340087 - 财政年份:2022
- 资助金额:
$ 16.16万 - 项目类别:
Penalized mixture cure models for identifying genomic features associated with outcome in acute myeloid leukemia
用于识别与急性髓系白血病结果相关的基因组特征的惩罚混合治疗模型
- 批准号:
10544523 - 财政年份:2022
- 资助金额:
$ 16.16万 - 项目类别:
Assessment of Donor Quality for Improving Kidney Transplant Outcomes
评估捐献者质量以改善肾移植结果
- 批准号:
9262665 - 财政年份:2017
- 资助金额:
$ 16.16万 - 项目类别:
Assessment of Donor Quality for Improving Kidney Transplant Outcomes
评估捐献者质量以改善肾移植结果
- 批准号:
10203464 - 财政年份:2017
- 资助金额:
$ 16.16万 - 项目类别:
Assessment of Donor Quality for Improving Kidney Transplant Outcomes
评估捐献者质量以改善肾移植结果
- 批准号:
9753687 - 财政年份:2017
- 资助金额:
$ 16.16万 - 项目类别:
Informatic tools for predicting an ordinal response for high-dimensional data
用于预测高维数据顺序响应的信息工具
- 批准号:
9273725 - 财政年份:2012
- 资助金额:
$ 16.16万 - 项目类别:
Informatic tools for predicting an ordinal response for high-dimensional data
用于预测高维数据顺序响应的信息工具
- 批准号:
8714054 - 财政年份:2012
- 资助金额:
$ 16.16万 - 项目类别:
Informatic tools for predicting an ordinal response for high-dimensional data
用于预测高维数据顺序响应的信息工具
- 批准号:
8216289 - 财政年份:2012
- 资助金额:
$ 16.16万 - 项目类别:
Recursive partitioning and ensemble methods for classifying an ordinal response
用于对序数响应进行分类的递归划分和集成方法
- 批准号:
7805045 - 财政年份:2009
- 资助金额:
$ 16.16万 - 项目类别:
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