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Prenatal exposure to environmental contaminants and fetal growth: How to account for multiplicity when testing multiple statistical hypotheses?

Prenatal exposure to environmental contaminants and fetal growth: How to account for multiplicity when testing multiple statistical hypotheses?
产前环境污染物暴露和胎儿生长：在检验多个统计假设时如何考虑多重性？
批准号：
324982
负责人：
McCandless Lawrence
金额：
$0.91万
依托单位：
Simon Fraser University (Burnaby, B.C.)
依托单位国家：
加拿大
项目类别：
Miscellaneous Programs
财政年份：
2015
资助国家：
加拿大
项目状态：
已结题
起止时间：
2015-02-01 至 2016-02-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=324982&lang=en
关键词：
Bayesian Statistics Biostatistics Epidemiology Fetal Growth Multiple Comparisons

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In perinatal epidemiology, we often measure multiple correlated exposure variables in study participants, such as biomarkers during pregnancy. These variables permit testing of novel exposure-disease relationships. However, multiple testing also leads t
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