Training Program in Biostatistics and Cancer Research
生物统计学和癌症研究培训计划
基本信息
- 批准号:8312338
- 负责人:
- 金额:$ 24.65万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2003
- 资助国家:美国
- 起止时间:2003-08-01 至 2013-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): Project Summary: This application is for continuation of a training program in biostatistics with a specific focus on cancer research. The training program supports six students each year.
The practice of biostatistics is changing, especially in the area of cancer research. Discoveries over the last two decades into the molecular, biochemical, and genetic components of cell growth and development lave changed our understanding of what makes a normal cell become cancerous and then metastasize. Multidisciplinary research teams are at the heart of modern approaches to fighting cancer, and biostatisticians more and more are a part of such teams. Such teamwork requires that the statistician be conversant with molecular biologists, pathologists, and, of course, clinical oncologists if the group of co-investigators is to succeed. Effective biostatistical collaboration thus requires broad training in statistics, probability, computational methods, as well as cancer biology and medical ethics. The Department of Statistics, Rice University, and departments in the Division of Quantitative Sciences at the University of Texas M. D. Anderson Cancer Center (UTMDACC) have joined forces with their collaborators in the clinical and basic sciences to develop a unique training program that combines their respective strengths to train biostatisticians in cancer research. The goal of this Training Program in Biostatistics is to prepare a new generation of biostatisticians who will work side-by-side with biomedical investigators in modern cancer research. Our program aims to provide trainees with Rigorous training in statistics and probability; Practical experience in basic and clinical cancer research; and Training in biological aspects of cancer and medical research ethics.
Students in this program follow the standard course of study expected of Ph.D. students in the Department of Statistics at Rice, with additional coursework in biostatistics, biology, and ethics, as well as special seminars and workshops at both institutions. With faculty expertise in Bayesian methods, decision theory, cancer clinical trials, cancer screening, survival analysis, statistical genetics, genomics, bioinformatics, and statistical computing, trainees will receive a broad background in biostatistics necessary for modern cancer research. Summer internships and laboratory rotations provide practical experience in the student's training.
Relevance: Combining the educational resources available at Rice University and UTMDACC with practical experience will enable trainees upon completion to make fundamental contributions to cancer research working alongside biomedical investigators. Such close collaboration will lead to more efficient study designs and data analysis, allowing translation of therapeutic theories to clinical application more quickly.
描述(由申请人提供):项目摘要:此申请是为了继续进行生物统计学培训计划,特别关注癌症研究。培训计划每年为六名学生提供支持。
生物统计学的实践正在发生变化,尤其是在癌症研究领域。在过去的二十年中,发现细胞生长和发育的分子,生化和遗传成分的发现Lave改变了我们对使正常细胞变成癌变然后转移的理解。多学科研究团队是现代抗癌方法的核心,生物统计学家越来越多地成为此类团队的一部分。这样的团队合作要求统计学家要与分子生物学家,病理学家,当然还有临床肿瘤学家熟悉,如果共同研究人员要成功。因此,有效的生物统计协作需要在统计,概率,计算方法以及癌症生物学和医学伦理方面进行广泛的培训。赖斯大学统计学系和德克萨斯大学M. D.安德森癌症中心(UTMDACC)定量科学系的部门已与他们的合作者一起在临床和基本科学领域,开发了一项独特的培训计划,该计划结合了各自的优势,以在癌症研究中培训生物统治者。该生物统计学培训计划的目的是准备新一代的生物统计学家,他们将与现代癌症研究中的生物医学研究人员并排合作。我们的计划旨在为受训者提供严格的统计和概率培训;基本和临床癌症研究的实践经验;以及癌症和医学研究伦理生物学方面的培训。
该计划的学生遵循博士学位的标准学习课程。赖斯的统计学系学生,在生物统计学,生物学和道德方面还有其他课程,以及两个机构的特殊研讨会和讲习班。借助贝叶斯方法,决策理论,癌症临床试验,癌症筛查,生存分析,统计遗传学,基因组学,生物信息学和统计计算的教师专业知识,受训者将获得现代癌症研究所需的生物统计学的广泛背景。暑期实习和实验室轮换为学生的培训提供了实践经验。
相关性:将赖斯大学和UTMDACC提供的教育资源与实践经验相结合,将使学员在完成后对与生物医学研究人员一起工作的癌症研究做出基本贡献。这种紧密的协作将导致更有效的研究设计和数据分析,从而使治疗理论更快地转化为临床应用。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Marina Vannucci其他文献
Marina Vannucci的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Marina Vannucci', 18)}}的其他基金
Bayesian Methods for Genomics with Variable Selection
具有变量选择的基因组学贝叶斯方法
- 批准号:
7046119 - 财政年份:2005
- 资助金额:
$ 24.65万 - 项目类别:
Bayesian Methods for Genomics with Variable Selection
具有变量选择的基因组学贝叶斯方法
- 批准号:
7535458 - 财政年份:2005
- 资助金额:
$ 24.65万 - 项目类别:
Bayesian Methods for Genomics with Variable Selection
具有变量选择的基因组学贝叶斯方法
- 批准号:
8086928 - 财政年份:2005
- 资助金额:
$ 24.65万 - 项目类别:
Bayesian Methods for Genomics with Variable Selection
具有变量选择的基因组学贝叶斯方法
- 批准号:
7392341 - 财政年份:2005
- 资助金额:
$ 24.65万 - 项目类别:
Bayesian Methods for Genomics with Variable Selection
具有变量选择的基因组学贝叶斯方法
- 批准号:
6904170 - 财政年份:2005
- 资助金额:
$ 24.65万 - 项目类别:
Bayesian Methods for Genomics with Variable Selection
具有变量选择的基因组学贝叶斯方法
- 批准号:
7218031 - 财政年份:2005
- 资助金额:
$ 24.65万 - 项目类别:
Training Program in Biostatistics for Cancer Research
癌症研究生物统计学培训计划
- 批准号:
8901991 - 财政年份:2003
- 资助金额:
$ 24.65万 - 项目类别:
Training Program in Biostatistics and Cancer Research
生物统计学和癌症研究培训计划
- 批准号:
7922154 - 财政年份:2003
- 资助金额:
$ 24.65万 - 项目类别:
Training Program in Biostatistics and Cancer Research
生物统计学和癌症研究培训计划
- 批准号:
8124899 - 财政年份:2003
- 资助金额:
$ 24.65万 - 项目类别:
Training Program in Biostatistics for Cancer Research
癌症研究生物统计学培训计划
- 批准号:
8681375 - 财政年份:2003
- 资助金额:
$ 24.65万 - 项目类别:
相似国自然基金
基于计划行为理论公众实施心肺复苏的行为机制及急救培训策略研究
- 批准号:82160647
- 批准年份:2021
- 资助金额:34 万元
- 项目类别:地区科学基金项目
共享航次计划青年科考人员培训对象及方案设计战略研究
- 批准号:
- 批准年份:2020
- 资助金额:100 万元
- 项目类别:专项基金项目
相似海外基金
Core C: Biostatistical and Bioinformatics Core
核心 C:生物统计和生物信息学核心
- 批准号:
10708578 - 财政年份:2023
- 资助金额:
$ 24.65万 - 项目类别: