课题基金 / 基金详情

Pre- and Post-doctoral Training in Environmental Biostatistics

Pre- and Post-doctoral Training in Environmental Biostatistics
环境生物统计学博士前和博士后培训
批准号:
8692782
负责人:
ROGER PENG
金额:
$24.06万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-07-12 至 2016-06-30

项目摘要

项目成果

ROGER PENG的其他基金

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相关文献

中文摘要
翻译
描述(由申请人提供) 约翰霍普金斯彭博公共卫生学院的生物统计学系提出了环境生物统计学博士前和博士后培训计划,每年支持四(4)名博士前和一(1)名博士后学生。 博士预科课程需要两年或两年以上的课程,然后是考试和研究论文。最初3年将提供培训补助金支持;研究助理将资助剩余的培训期。博士后计划将提供两(2)年的支持,将包括与研究导师或导师,正式和非正式的互动与其他博士后学生在部门(10为2009-2010)和学校的合作。 这两个方案将位于生物统计学系;教师在生物统计学,环境健康科学,流行病学,卫生服务研究,国际卫生,心理健康,分子微生物学和免疫学的学校部门;和教师在医学院,工程和艺术与科学学院怀汀学院将参与课堂教育工作者和研究导师/合作者。通过课程,研讨会,参与工作组和指导博士研究,研究人员应教育下一代领导人在发展中应用生物统计科学的环境研究和政策。 它们应将生物统计学和生物统计学家与其他环境科学和基础科学相结合,营造一种非常适合培养生物统计学和其他领域的研究生、博士后学生和教师之间持久关系的教育氛围。因此,受训人员将有效地开展跨学科合作,确定关键的方法需求,开发和应用满足这些需求的统计设计和分析。受训人员将有效地向科学家、决策者和公众传达实质性的研究结果。计划和附属教师致力于履行这一理念,并实现这些目标。 相关性:对统计概念和技术有深刻理解的顶级生物统计学家的参与,通过对相关科学的有效理解而获得授权,对于设计,实施,分析和报告公共卫生相关研究至关重要。博士前和博士后课程教育和培养学员成为这些角色的领导者。
英文摘要
DESCRIPTION (provided by applicant) The Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health proposes Environmental Biostatistics pre- and postdoctoral training programs to support four (4) pre-doctoral and one (1) postdoctoral student each year. The pre-doctoral program entails two or more years of coursework followed by examinations and a research thesis. Training grant support will be provided for the initial 3 years; research assistantships will fund the remaining training period. The postdoctoral program will provide support for two (2) years and will include collaboration with a research mentor or with mentors, formal and informal interactions with other postdoctoral students in the department (10 for 2009-2010) and the school. Both programs will be located in the Department of Biostatistics; faculty in the School's Departments of Biostatistics, Environmental Health Sciences, Epidemiology, Health Services Research, International Health, Mental Health, and Molecular Microbiology and Immunology; and faculty in the Medical School, the Whiting School of Engineering and the School of Arts and Sciences will participate as classroom educators and research mentors/collaborators. Through coursework, seminars, participation in working groups and directed doctoral research, the investigators shall educate the next generation of leaders in development application of biostatistical science to environmental research and policy. They shall integrate biostatistics and biostatisticians with other environmental and basic sciences in an educational climate ideally suited to fostering lasting relationships among graduate students, postdoctoral students and faculty in biostatistics and other fields. Consequently, trainees will effectively collaborate across disciplines, identify the key methodological needs, develop and apply statistical designs and analyses that address these needs. Trainees will effectively communicate substantive findings to scientists, policy makers and the general public. Program and affiliated faculty are committed to honoring this philosophy and to achieving these goals. Relevance: Participation of top tier biostatisticians with a deep understanding of statistical concepts and techniques empowered by effective understanding of the relevant science is essential to the design, conduct, analysis, and reporting of public health relevant research. The pre- and postdoctoral programs educate and acculturate trainees to be leaders in these roles.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1198/jasa.2009.ap07611
发表时间: 2009
期刊: Journal of the American Statistical Association
影响因子: 3.7
作者: [Scharpf RB, Tjelmeland H, Parmigiani G, Nobel AB]
通讯作者: Nobel AB
Accounting for length-bias and selection effects in estimating the distribution of menstrual cycle length.
在估计月经周期长度分布时考虑长度偏差和选择效应。
DOI: 10.1093/biostatistics/kxu035
发表时间: 2015
期刊: Biostatistics (Oxford, England)
影响因子: --
作者: [Lum,KirstenJ, Sundaram,Rajeshwari, Louis,ThomasA]
通讯作者: Louis,ThomasA
Rejoinder.
反驳。
DOI: 10.1177/1740774517711444
发表时间: 2017
期刊: Clinical trials (London, England)
影响因子: --
作者: [Mason AJ]
通讯作者: Mason AJ
Cross-platform Comparison of Two Pancreatic Cancer Phenotypes.
两种胰腺癌表型的跨平台比较。
DOI: 10.4137/cin.s5755
发表时间: 2010
期刊: Cancer informatics
影响因子: 2
作者: [Scharpf,RobertB, Iacobuzio-Donahue,ChristineA, Cope,Leslie, Ruczinski,Ingo, Garrett-Mayer,Elizabeth, Lakkur,Sindhu, Campagna,Domenico, Parmigiani,Giovanni]
通讯作者: Parmigiani,Giovanni
NIH R25 - A Training Module for Reproducible Data Science Research
  • 批准号:
    10807490
  • 项目类别:
  • 资助金额:
    $9.08万
  • 财政年份:
    2021
  • 负责人:
    ROGER PENG
  • 依托单位:
A Training Module for Reproducible Data Science Research
  • 批准号:
    10409825
  • 项目类别:
  • 资助金额:
    $0.1万
  • 财政年份:
    2021
  • 负责人:
    ROGER PENG
  • 依托单位:
A Training Module for Reproducible Data Science Research
  • 批准号:
    10199242
  • 项目类别:
  • 资助金额:
    $9.42万
  • 财政年份:
    2021
  • 负责人:
    ROGER PENG
  • 依托单位:
NIH R25 - A Training Module for Reproducible Data Science Research
  • 批准号:
    10663171
  • 项目类别:
  • 资助金额:
    $7.6万
  • 财政年份:
    2021
  • 负责人:
    ROGER PENG
  • 依托单位:
海外基金