Selected article for: "false discovery rate and multiple testing"

Author: Arabi, Yaseen M.; Asiri, Ayed Y.; Assiri, Abdullah M.; Aziz Jokhdar, Hani A.; Alothman, Adel; Balkhy, Hanan H.; AlJohani, Sameera; Al Harbi, Shmeylan; Kojan, Suleiman; Al Jeraisy, Majed; Deeb, Ahmad M.; Memish, Ziad A.; Ghazal, Sameeh; Al Faraj, Sarah; Al-Hameed, Fahad; AlSaedi, Asim; Mandourah, Yasser; Al Mekhlafi, Ghaleb A.; Sherbeeni, Nisreen Murad; Elzein, Fatehi Elnour; Almotairi, Abdullah; Al Bshabshe, Ali; Kharaba, Ayman; Jose, Jesna; Al Harthy, Abdulrahman; Al Sulaiman, Mohammed; Mady, Ahmed; Fowler, Robert A.; Hayden, Frederick G.; Al-Dawood, Abdulaziz; Abdelzaher, Mohamed; Bajhmom, Wail; Hussein, Mohamed A.
Title: Treatment of Middle East respiratory syndrome with a combination of lopinavir/ritonavir and interferon-ß1b (MIRACLE trial): statistical analysis plan for a recursive two-stage group sequential randomized controlled trial
  • Document date: 2020_1_3
  • ID: 0cah15lg_52
    Snippet: To adjust for multiple testing, we will use the false discovery rate (FDR) as described by Benjamini and Hochberg [17] . In this procedure all hypothesis tests will be sorted in ascending order based on their calculated p value. All hypothesis tests below an index K will be rejected, where K is calculated as follows:.....
    Document: To adjust for multiple testing, we will use the false discovery rate (FDR) as described by Benjamini and Hochberg [17] . In this procedure all hypothesis tests will be sorted in ascending order based on their calculated p value. All hypothesis tests below an index K will be rejected, where K is calculated as follows:

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