Lecture 12: Topics in Association Analysis: Permutation tests; collapsing rare variants
نویسنده
چکیده
For many classical tests like t-test, chi-square test, the co-called null distribution is well-known. That is, the distribution of the test statistic, given the null hypothesis of no effect, has been derived analytically and can be looked up in published tables. In some situations, however, it is desirable to define a test statistic, for which the null distribution cannot be obtained, for example, because the data are non-independent or because the test statistic is the result of a complicated procedure. In these situations, permutation analysis can often be applied to obtain the null distribution numerically by computer simulation [2]. This lecture will discuss various aspects of permutation testing.
منابع مشابه
Evaluation of association tests for rare variants using simulated data sets in the Genetic Analysis Workshop 17 data
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