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Time Related Factors in Cancer Epidemiology

癌症流行病学中的时间相关因素

基本信息

批准号：
7118769
负责人：
BRYAN M. LANGHOLZ
金额：
$ 23.88万
依托单位：
UNIVERSITY OF SOUTHERN CALIFORNIA
依托单位国家：
美国
项目类别：
财政年份：
1986
资助国家：
美国
起止时间：
1986-07-01 至 2008-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7118769
关键词：
Internet cancer risk chronic disease /disorder clinical research computer program /software data collection methodology /evaluation human data mathematical model method development model design /development neoplasm /cancer epidemiology statistics /biometry time resolved data

项目摘要

DESCRIPTION (provided by applicant): The long-term goals of this grant are to develop study designs and methods of statistical analysis for epidemiologic research of cancer and other chronic diseases. In this proposal, we focus on case-control studies in three broad aims: The first is to develop case-control design and analysis solutions to a number of important problems we have identified based on our applied work on "standard"' and counter matched case-control studies. These include appropriate analysis of case-control studies with random digit dial controls, Mantel-Haenszel and polytomous logistic regression estimators for studies with complex control selection, development of new population based case-control study designs that use inexpensive correlate exposure information to improve cost-efficiency, and analysis of case-control studies with missing covariate data. The second is to develop efficiency bound methods appropriate to case-control study designs as well as investigate estimation methods that make use of cohort or external information to improve case-control study efficiency. These results will clarify when auxiliary at-risk and covariate information can be used to improve efficiency in analysis of nested case-control studies and provide methods that exploit this information. The third aim is outreach to investigators interested in the methods including maintaining software and data examples on our website and limited consultation. The impact of these projects is to expand the design and analysis "tools"' available to epidemiologic research in a way that will improve validity and cost-efficiency.

项目描述（由申请人提供）：该基金的长期目标是为癌症和其他慢性病的流行病学研究开发研究设计和统计分析方法。在这项提案中，我们专注于病例对照研究的三个主要目标：第一是开发病例对照设计和分析解决方案，我们已经确定了一些重要的问题，我们的应用工作的基础上“标准”和计数器匹配的病例对照研究。这些包括对病例对照研究进行适当的分析，使用随机数字拨号控制，Mantel-Haenszel和多分类logistic回归估计用于复杂对照选择的研究，开发新的基于人群的病例对照研究设计，使用廉价的相关暴露信息来提高成本效率，以及对缺失协变量数据的病例对照研究进行分析。二是发展适合病例对照研究设计的效率界限方法，并探讨利用队列或外部信息提高病例对照研究效率的估计方法。这些结果将澄清辅助风险和协变量信息可以用来提高效率的嵌套病例对照研究的分析，并提供利用这些信息的方法。第三个目标是与对这些方法感兴趣的研究人员进行外联，包括在我们的网站上维护软件和数据示例以及有限的咨询。这些项目的影响是扩大流行病学研究的设计和分析“工具”，以提高有效性和成本效益。

项目成果

期刊论文数量（23）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Study design: evaluating gene-environment interactions in the etiology of breast cancer - the WECARE study.

DOI：
10.1186/bcr771
发表时间：
2004
期刊：
Breast cancer research : BCR
影响因子：
0
作者：
Bernstein JL;Langholz B;Haile RW;Bernstein L;Thomas DC;Stovall M;Malone KE;Lynch CF;Olsen JH;Anton-Culver H;Shore RE;Boice JD Jr;Berkowitz GS;Gatti RA;Teitelbaum SL;Smith SA;Rosenstein BS;Børresen-Dale AL;Concannon P;Thompson WD;WECARE study
通讯作者：
WECARE study

Bivariate survival models for analysis of genetic and environmental effects in twins.

用于分析双胞胎遗传和环境影响的双变量生存模型。