BAYESIAN MEASUREMENT ERROR MODELS FOR EPIDEMIOLOGY
流行病学贝叶斯测量误差模型
基本信息
- 批准号:2638407
- 负责人:
- 金额:$ 2.62万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1998
- 资助国家:美国
- 起止时间:1998-11-01 至
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This proposal addresses statistical issues arising from measurement
error problems, with an emphasis on modeling within a Bayesian
framework. Measurement error arises when a variable of interest, such
as exposure to a contaminant, cannot be measured or is too expensive to
measure for most subjects. Instead inference must based on a proxy
variable measured with error, which can lead to incorrect conclusions
if not properly addressed. This proposal is motivated by applications
in environmental health studies, in which measurement error is often a
problem. The specific aims are: (1) To delineate the advantages and
disadvantages of Bayesian and frequentist approaches to measurement
error problems using a case study approach; (2) Within a Bayesian
framework, to examine the sensitivity of numerical estimates of the
relationship between the outcome and covariates to their assumed
distributions; (3) To develop a Bayesian paradigm for the 2-stage case-
control design, and to compare numerical estimates with those from
frequentist methods; and (4) To develop efficient sampling strategies
for measuring the "gold standard" in a validation sub-study within a
repeated measures setting. The research will be illustrated and applied
to several datasets collected for environmental health studies.
本建议涉及计量方面的统计问题
错误问题,重点是贝叶斯模型
框架. 当感兴趣的变量,如
由于暴露于污染物,无法测量或过于昂贵,
对大多数人来说, 相反,推理必须基于代理
变量测量误差,可能导致不正确的结论
如果没有妥善处理。 该提案的动机是应用
在环境健康研究中,测量误差通常是
问题. 具体目标是:(1)明确优势,
贝叶斯和频率论测量方法的缺点
错误的问题,使用案例研究的方法;(2)在贝叶斯
框架,以审查的敏感性数值估计的
结果和协变量之间的关系
(3)为2阶段案例开发贝叶斯范式-
控制设计,并将数值估计与
频率论方法;(4)制定有效的抽样策略
用于测量验证子研究中的“金标准”,
重复测量设置。 本研究将以实例说明并加以应用
为环境健康研究收集的几个数据集。
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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Sally W Thurston其他文献
Sally W Thurston的其他文献
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{{ truncateString('Sally W Thurston', 18)}}的其他基金
Postnatal Methylmercury Effects on Neurodevelopment
产后甲基汞对神经发育的影响
- 批准号:
9223392 - 财政年份:2017
- 资助金额:
$ 2.62万 - 项目类别:
BAYESIAN BIOMARKER MODELS FOR CANCER GENETICS STUDIES
用于癌症遗传学研究的贝叶斯生物标记模型
- 批准号:
6659844 - 财政年份:2002
- 资助金额:
$ 2.62万 - 项目类别:
BAYESIAN BIOMARKER MODELS FOR CANCER GENETICS STUDIES
用于癌症遗传学研究的贝叶斯生物标记模型
- 批准号:
6331506 - 财政年份:2002
- 资助金额:
$ 2.62万 - 项目类别:
BAYESIAN BIOMARKER MODELS FOR CANCER GENETICS STUDIES
用于癌症遗传学研究的贝叶斯生物标记模型
- 批准号:
6779205 - 财政年份:2002
- 资助金额:
$ 2.62万 - 项目类别:
BAYESIAN MEASUREMENT ERROR MODELS FOR EPIDEMIOLOGY
流行病学贝叶斯测量误差模型
- 批准号:
2909983 - 财政年份:1999
- 资助金额:
$ 2.62万 - 项目类别:
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