Multiple significance tests: the Bonferroni method.
نویسندگان
چکیده
منابع مشابه
Circumventing multiple testing: a multilocus Monte Carlo approach to testing for association.
Advances in marker technology have made a dense marker map a reality. If each marker is considered separately, and separate tests for association with a disease gene are performed, then multiple testing becomes an issue. A common solution uses a Bonferroni correction to account for multiple tests performed. However, with dense marker maps, neighboring markers are tightly linked and may have ass...
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Running Title: Significance level adjustments for multiple tests Word Count: 3887 2 ABSTRACT Procedures for adjusting significance levels when performing many hypothesis tests are commonplace in health/medical studies. Such procedures, most notably the Bonferroni adjustment, control for study-wide false positive rates, and recognize that the probability of a single false positive result increas...
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Genome-wide association studies often involve testing hundreds of thousands of single-nucleotide polymorphisms (SNPs). These tests may be highly correlated because of linkage disequilibrium among SNPs. Multiple testing correction ignoring the correlation among markers, as is done in the Bonferroni procedure, can cause loss of power. Several multiple testing adjustment methods accounting for cor...
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OBJECTIVES Procedures for controlling the false positive rate when performing many hypothesis tests are commonplace in health and medical studies. Such procedures, most notably the Bonferroni adjustment, suffer from the problem that error rate control cannot be localized to individual tests, and that these procedures do not distinguish between exploratory and/or data-driven testing vs. hypothes...
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ورودعنوان ژورنال:
- BMJ
دوره 310 6973 شماره
صفحات -
تاریخ انتشار 1995