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{{primary source|date=June 2012}}
In [[statistics]], the '''closed testing procedure'''<ref>{{cite journal | doi = 10.1093/biomet/63.3.655 | last1 = Marcus | first1 = R
==The closed testing principle==
Suppose there are ''k'' hypotheses ''H''<sub>1</sub>,..., ''H''<sub>''k''</sub> to be tested and the overall type I error rate is α. The closed testing principle allows the rejection of any one of these elementary hypotheses, say ''H''<sub>''i''</sub>, if all possible intersection hypotheses involving ''H''<sub>''i''</sub> can be rejected by using valid local level α tests; the adjusted p-value is the largest among those hypotheses. It controls the [[
==Example==
Suppose there are three hypotheses ''H''<sub>1</sub>,
==Special cases==
The [[
Multiple test procedures developed using the graphical approach for constructing and illustrating multiple test procedures<ref>{{cite journal | doi = 10.1002/sim.3495 | last1 = Bretz | first1 = F | last2 = Maurer | first2 = W | last3 = Brannath | first3 = W | last4 = Posch | first4 = M | year = 2009 | title = A graphical approach to sequentially rejective multiple test procedures | journal = [[Stat Med]] | volume = 28 | issue = 4 | pages = 586–604 | s2cid = 12068118 }}</ref> are a subclass of closed testing procedures.
==References==▼
{{Reflist}}▼
==See also
* [[Multiple comparisons]]
* [[
* [[Bonferroni correction]]
▲==References==
▲{{Reflist}}
[[Category:Multiple comparisons]]
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