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Multiple hypothesis testing procedures with applications to epidemiologic studies

Resource type
Thesis type
(Project) M.Sc.
Date created
2009
Authors/Contributors
Author: Qu, Conghui
Abstract
Epidemiologic and genetic studies often involve the testing of a large number of hypotheses with test statistics that are potentially dependent. In this project, we investigate multiple testing procedures to control the family-wise error rate and false discovery rate. We consider several classic and novel multiple hypothesis testing procedures. Furthermore, we compare the results of the procedures which take advantage of the dependent structure among test statistics to those of the procedures which do not. The data we used is from a case-control study of non-Hodgkin Lymphoma.
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Copyright statement
Copyright is held by the author.
Scholarly level
Language
English
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ETD4812.pdf 357.61 KB

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