Bayesian Analysis of Treatment Effects in Experiments with Imperfect Compliance
Bayesian Analysis of Treatment Effects in Experiments with Imperfect Compliance
批准号:
DP0880069
负责人:
A/Prof Liana Jacobi
金额:
$4.56万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2008
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2008-02-19 至 2013-12-31
中文摘要
这项研究有可能造福社会,提供方法来评估医疗和社会经济和健康相关的干预措施和政策的有效性的基础上,不完善的遵守实验。所提出的方法与第二个国家研究重点直接相关,因为它们可用于测试预防性保健的潜在措施,并评估加强澳大利亚社会和经济结构的措施。我们的方法的有用性证明了在分析的有效性的培训计划的失业者在减轻心理健康的负面影响,从失业。
英文摘要
This research has a potential to benefit society by providing methods to evaluate the effectiveness of medical treatments and socio-economic and health related interventions and policies based on experiments with imperfect compliance. The proposed methods are directly relevant to the second national research priority, as they can be used to test potential measures for preventative health care and to evaluate measures for strengthening Australia's social and economic fabric. The usefulness of our methods is demonstrated in the analysis of the effectiveness of a training program for the unemployed in alleviating negative mental health effects from job loss.
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Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output
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批准号:DP180102538
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项目类别:Discovery Projects
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资助金额:$21.73万
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财政年份:2018
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负责人:A/Prof Liana Jacobi
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依托单位:
Bayesian analysis of individual decisions in health and labour economics
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批准号:FT170100124
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项目类别:ARC Future Fellowships
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资助金额:$56.22万
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财政年份:2018
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负责人:A/Prof Liana Jacobi
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依托单位:
国内基金
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