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• W1907955602 abstract "If multiple statistical tests are performed simultaneously, we should take into account multiple testing to properly control the false positive rate. In association studies performing statistical tests for a large number of correlated markers, the traditional Sidak correction is overly conservative and the permutation test is inefficient. This article discusses recently proposed approaches for correcting for multiple testing in association studies. We first explain basic concepts of statistics such as the p-value, false-positive rate, corrected p-value and family wise error rate. Then we discuss recently proposed methods in three categories: methods using multivariate normal distribution, methods calculating the effective number of tests and methods increasing the efficiency of permutation test. We compare the relative performance of these methods. Many of the methods are shown to be highly efficient and accurate compared to the traditional approaches and can readily be applied to the genome-wide datasets.Key Concepts: In a statistical testing procedure performing multiple tests, multiple testing must be taken into account to properly control the false positive rate.In association studies, the traditional Sidak correction is overly conservative and the permutation test is inefficient.Recently proposed multiple testing correction methods are highly efficient and accurate and can be applied to the genome-wide datasets.Keywords:multiple testing;statistical test;p-value correction;association study;false positive;family wise error rate;false discovery rate;permutation test;Bonferroni correction;multivariate normal distribution" @default.
• W1907955602 created "2016-06-24" @default.
• W1907955602 creator A5009368988 @default.
• W1907955602 creator A5051872325 @default.
• W1907955602 date "2010-04-19" @default.
• W1907955602 modified "2023-09-27" @default.
• W1907955602 title "Multiple Testing in Genetic Epidemiology" @default.
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• W1907955602 doi "https://doi.org/10.1002/9780470015902.a0022497" @default.
• W1907955602 hasPublicationYear "2010" @default.
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