课题基金 / 基金详情

NIEHS STATISTICAL CONSULTING SERVICE

NIEHS STATISTICAL CONSULTING SERVICE
NIEHS 统计咨询服务
批准号:
6106657
负责人:
JOSEPH K HASEMAN
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
未结题
起止时间:
至

项目摘要

项目成果

JOSEPH K HASEMAN的其他基金

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中文摘要
翻译
统计咨询处正式成立 成立于1997年,提供各种实验设计和 为NIEHS研究工作提供数据分析支持。这些活动 范围从关于实验设计和数据的简短咨询 分析问题以实现更全面的协作,从而 在主题期刊上合著论文。大致 80名NIEHS科学家,代表了许多不同的领域 环境健康研究,利用统计 今年的咨询服务。出版的出版物清单 随附的本项目报告提供了有关 这些研究合作的性质,包括 实验室和人体研究。协作的具体示例 涉及统计咨询处的研究活动 包括一项对生殖道癌发生的评估 DES的多代研究,对DES的研究 瑞士小鼠生殖终点之间的关系,使用 利用连续繁育数据库进行繁育评估, 鼠类致癌性长期研究中的评价 2,2-二(溴甲基)-1,3-丙二醇、恶西潘和 异丁醛、异丁醛和异丁醛的合作开发 为研究病因学而设计的姐妹关系的特征 乳腺癌的风险,这是基于登记一个“基因丰富的”队列 在前瞻性队列设计中的病例姐妹。
英文摘要
The Statistical Consulting Service was formally established in 1997 to provide a variety of experimental design and data analysis support to NIEHS research efforts. These activities range from brief consultations on experimental design and data analysis issues to more comprehensive collaborations that result in co-authorship of papers in subject matter journals. Approximately 80 NIEHS scientists, representing a number of different areas of environmental health research, made use of the Statistical Consulting Service this year. The list of publications that accompanies this project report provides more information as to the nature of these research collaborations, which include both laboratory and human studies. Specific examples of collaborative research activities involving the Statistical Consulting Service include an evaluation of reproductive tract carcinogenesis in a multi-generational study of DES, an investigation of the relationships among reproductive endpoints in Swiss mice, using the Reproductive Assessment by Continuous Breeding Database, the evaluation of rodent carcinogenicity in long term studies of 2,2-bis(bromomethyl)-1,3-propanediol, oxazepam, and isobutyraldehyde, and the collaborative development and characterization of the sisterhood design for studying the etiology of breast cancer, based on enrolling a "genetically enriched" cohort of sisters of cases in a prospective cohort design.
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