Using false discovery rates for multiple comparisons in ecology and evolution
نویسندگان
چکیده
منابع مشابه
Multiple Comparisons: Bonferroni Corrections and False Discovery Rates
Statistical analysis of a data set typically involves testing not just a single hypothesis, but rather many (often very many!). For any particular test, we may assign a pre-set probability α of a type-1 error (i.e., a false positive, rejecting the null hypothesis when in fact it is true). The problem is that using a (say) value of α = 0.05 means that roughly one out of every twenty such tests w...
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ژورنال
عنوان ژورنال: Methods in Ecology and Evolution
سال: 2010
ISSN: 2041-210X
DOI: 10.1111/j.2041-210x.2010.00061.x